Pradeep Kumar Das

6.9k citations

75 papers · 4.8k · 2 hit papers · h-index 33

Impact in

Aging top 1%
Plant Science top 0.5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism

Papers in

Molecular Biology 27
- Plant Reproductive Biology 16
- TGF-β signaling in diseases 6
Computer Vision and Pattern Recognition 21
- Digital Imaging for Blood Diseases 18

Co-authors: Sukadev Meher (24 shared papers)Elliot M. Meyerowitz (6 shared papers)G. Venugopala Reddy (2 shared papers)Marcus G. Heisler (2 shared papers)Carolyn Ohno (2 shared papers)Richard W. Padgett (7 shared papers)Jeff A. Long (1 shared paper)Patrick Sieber (1 shared paper)
Journals: Development (4 papers)Engineering Applications of Artificial Intelligence (3 papers)Biomedical Signal Processing and Control (3 papers)Proceedings of the National Academy of Sciences (3 papers)Measurement (2 papers)
Partner nations: India United States France

In The Last Decade

Pradeep Kumar Das

70 papers receiving 4.7k citations

Pradeep Kumar Das's Hit Papers

align trajectories log scale

An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images 2023 · 108 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Biomedical Signal Processing and Control
2005 Current Biology

Peers

Countries citing papers authored by Pradeep Kumar Das

Since Specialization

Citations

This map shows the geographic impact of Pradeep Kumar Das's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pradeep Kumar Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Kumar Das more than expected).

Fields of papers citing papers by Pradeep Kumar Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Kumar Das. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pradeep Kumar Das. The network helps show where Pradeep Kumar Das may publish in the future.

Co-authors

The 25 scholars most cited alongside Pradeep Kumar Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pradeep Kumar Das Line = papers co-authored together Pradeep Kumar Das links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Patterns of Auxin Transport and Gene Expression during Primordium Development Revealed by Live Imaging of the Arabidopsis Inflorescence Meristem Current Biology ·Marcus G. Heisler, Carolyn Ohno, Pradeep Kumar Das, Patrick Sieber, G. Venugopala Reddy, Jeff A. Long, Elliot M. Meyerowitz Hit paper breakdown →	2005	986
2	Caenorhabditis elegans genes sma-2, sma-3, and sma-4 define a conserved family of transforming growth factor beta pathway components. Proceedings of the National Academy of Sciences ·(unknown), Pradeep Kumar Das, Anthony Finelli, StJohn Townsend, Chuanxin Sun, Scott E. Baird, Richard W. Padgett	1996	451
3	Pattern formation during de novo assembly of the Arabidopsis shoot meristem Development ·Sean Gordon, Marcus G. Heisler, G. Venugopala Reddy, Carolyn Ohno, Pradeep Kumar Das, Elliot M. Meyerowitz	2007	327
4	The homeotic protein AGAMOUS controls microsporogenesis by regulation of SPOROCYTELESS Nature ·Toshiro Ito, Frank Wellmer, Hao Yu, Pradeep Kumar Das, Natsuko Ito, Márcio Alves‐Ferreira, José Luis Riechmann, Elliot M. Meyerowitz	2004	272
5	Imaging plant growth in 4D: robust tissue reconstruction and lineaging at cell resolution Nature Methods ·Romain Fernandez, Pradeep Kumar Das, Vincent Mirabet, Eric Moscardi, Jan Traas, Jean‐Luc Verdeil, Grégoire Malandain, Christophe Godin	2010	236
6	Control of Reproductive Floral Organ Identity Specification inArabidopsisby the C Function Regulator AGAMOUS The Plant Cell ·Diarmuid S. Ó’Maoiléidigh, Samuel E. Wuest, Liina Rae, Andrea Raganelli, Patrick T. Ryan, Kamila Kwaśniewska, Pradeep Kumar Das, Amanda J. Lohan, Brendan Loftus, Emmanuelle Graciet, Frank Wellmer	2013	162
7	An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia Expert Systems with Applications ·Pradeep Kumar Das, Sukadev Meher	2021	142
8	The Role of Mechanical Forces in Plant Morphogenesis Annual Review of Plant Biology ·Vincent Mirabet, Pradeep Kumar Das, Arezki Boudaoud, Olivier Hamant	2011	139
9	Mammalian dwarfins are phosphorylated in response to transforming growth factor beta and are implicated in control of cell growth. Proceedings of the National Academy of Sciences ·Jonathan M. Yingling, Pradeep Kumar Das, (unknown), M Zhang, Richard W. Padgett, X F Wang	1996	132
10	Mechanical stress contributes to the expression of the STM homeobox gene in Arabidopsis shoot meristems eLife ·Benoît Landrein, Annamária Kiss, Massimiliano Sassi, Aurélie Chauvet, Pradeep Kumar Das, Millán Cortizo, Patrick Laufs, Seiji Takeda, Mitsuhiro Aida, Jan Traas, Teva Vernoux, Arezki Boudaoud, Olivier Hamant	2015	129
11	An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images Biomedical Signal Processing and Control ·Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher Hit paper breakdown →	2023	108
12	The Drosophila gene Medea demonstrates the requirement for different classes of Smads in dpp signaling Development ·Pradeep Kumar Das, Lisa L. Maduzia, Huang Wang, Alyce L. Finelli, Seo‐Hee Cho, Marsha M. Smith, Richard W. Padgett	1998	104
13	An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders IEEE Transactions on Cybernetics ·Pradeep Kumar Das, Sukadev Meher, Rutuparna Panda, Ajith Abraham	2021	97
14	High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets Biomedical Signal Processing and Control ·Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher	2022	97
15	A Systematic Review on Recent Advancements in Deep and Machine Learning Based Detection and Classification of Acute Lymphoblastic Leukemia IEEE Access ·Pradeep Kumar Das, Vora Diya, Sukadev Meher, Rutuparna Panda, Ajith Abraham	2022	92
16	TGF-β signaling, Smads, and tumor suppressors BioEssays ·Richard W. Padgett, Pradeep Kumar Das, Srikant Krishna	1998	88
17	Floral stem cell termination involves the direct regulation of AGAMOUS by PERIANTHIA Development ·Pradeep Kumar Das, Toshiro Ito, Frank Wellmer, Teva Vernoux, Annick Berne-Dedieu, Jan Traas, Elliot M. Meyerowitz	2009	83
18	A Review of Automated Methods for the Detection of Sickle Cell Disease IEEE Reviews in Biomedical Engineering ·Pradeep Kumar Das, Sukadev Meher, Rutuparna Panda, Ajith Abraham	2019	75
19	SUPERMAN prevents class B gene expression and promotes stem cell termination in the fourth whorl of Arabidopsis thaliana flowers Proceedings of the National Academy of Sciences ·Nathanaël Prunet, Weibing Yang, Pradeep Kumar Das, Elliot M. Meyerowitz, Thomas Jack	2017	75
20	An Efficient Detection and Classification of Acute Leukemia Using Transfer Learning and Orthogonal Softmax Layer-Based Model IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Pradeep Kumar Das, Biswajeet Sahoo, Sukadev Meher	2022	66

About Pradeep Kumar Das

Pradeep Kumar Das is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 75 papers that have together received 4.8k indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (18 papers), Plant Molecular Biology Research (18 papers), AI in cancer detection (16 papers), Plant Reproductive Biology (16 papers), COVID-19 diagnosis using AI (16 papers), TGF-β signaling in diseases (6 papers), Brain Tumor Detection and Classification (5 papers) and Metal complexes synthesis and properties (5 papers). The work is most often cited by research in Aging (174 citations), Plant Science (2.5k citations), Molecular Biology (2.9k citations), Computer Vision and Pattern Recognition (623 citations) and Biophysics (163 citations). Pradeep Kumar Das has collaborated with scholars based in India, United States and France. Frequent co-authors include Sukadev Meher, Elliot M. Meyerowitz, G. Venugopala Reddy, Marcus G. Heisler, Carolyn Ohno, Richard W. Padgett, Jeff A. Long, Patrick Sieber, Adyasha Sahu and Vincent Mirabet. Their work appears in journals such as Development, Engineering Applications of Artificial Intelligence, Biomedical Signal Processing and Control, Proceedings of the National Academy of Sciences and Measurement.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Pradeep Kumar Das

Pradeep Kumar Das's Hit Papers

Peers

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Fields of papers citing papers by Pradeep Kumar Das

All Works

About Pradeep Kumar Das

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