Pradeep Kumar Das

72 papers receiving 5.5k citations

Pradeep Kumar Das's Hit Papers

The auxin signalling network translates dynamic input into robust patterning at the shoot apex 2011 · 486 citations
4860+7+14Years since publication250500750

Peers

Pradeep Kumar Das
Comparison fields: 5 of 141
  • Aging 169
  • Plant Science 3.2k
  • Molecular Biology 3.5k
  • Biophysics 178
  • Computer Vision and Pattern Recognition 646
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Zhaolei Zhang Canada
Beth A. Cimini United States
Maxwell W. Libbrecht Canada
Hamed Shateri Najafabadi Canada
Carolina Wählby Sweden
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David Philip Kreil Austria
Leo J. Lee Canada
Nicolò Fusi United States
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Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 76 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
Hit paper breakdown →
2005982
2
The auxin signalling network translates dynamic input into robust patterning at the shoot apex
Hit paper breakdown →
2011486
3 1996434
4 2007335
5 2004276
6 2010250
7 2013229
8 2013165
9 2021151
10 2011142
11 2015130
12 1996128
13 2023113
14 2022102
15 1998101
16 202198
17 202294
18 199887
19 200984
20 201778

About Pradeep Kumar Das

Pradeep Kumar Das is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Plant Science, Artificial Intelligence and Molecular Biology, having authored 76 papers that have together received 5.6k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (20 papers), Digital Imaging for Blood Diseases (18 papers), Plant Reproductive Biology (18 papers), COVID-19 diagnosis using AI (16 papers), AI in cancer detection (16 papers), TGF-β signaling in diseases (6 papers), Brain Tumor Detection and Classification (5 papers) and Metal complexes synthesis and properties (4 papers). The work is most often cited by research in Aging (169 citations), Plant Science (3.2k citations), Molecular Biology (3.5k citations), Biophysics (178 citations) and Computer Vision and Pattern Recognition (646 citations). Pradeep Kumar Das has collaborated with scholars based in India, United States and France. Frequent co-authors include Sukadev Meher, Elliot M. Meyerowitz, Marcus G. Heisler, G. Venugopala Reddy, Carolyn K Ohno, Richard W. Padgett, Jeff A. Long, Patrick Sieber, Adyasha Sahu and Vincent Mirabet. Their work appears in journals such as Development, Biomedical Signal Processing and Control, Engineering Applications of Artificial Intelligence, Proceedings of the National Academy of Sciences and Nature.

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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