Prashanta Kumar Panda

35 papers receiving 1.9k citations

Prashanta Kumar Panda's Hit Papers

Autophagy and apoptosis: where do they meet? 2014 · 490 citations
4900+4+8Years since publication100200300400

Peers

Prashanta Kumar Panda
Comparison fields: 5 of 115
  • Geriatrics and Gerontology 89
  • Epidemiology 753
  • Cancer Research 308
  • Physiology 102
  • Biotechnology 150
Replace Niharika Sinha with:
Niharika Sinha India
Durgesh Nandini Das India
Debasna Pritimanjari Panigrahi India
Paola Maycotte Mexico
Kyu Lim South Korea
Eduardo Cremonese Filippi‐Chiela Brazil
Tatsushi Yoshida Japan
Alexandra S. Bause United States
Kewal Kumar Mahapatra India
Prashanta Kumar Panda relative to Niharika Sinha India Niharika Sinha's profile →
Citations per field
00.5×1.5×
Niharika Sinha · 1×
Citations per year

Countries citing papers authored by Prashanta Kumar Panda

Since Specialization
Citations

This map shows the geographic impact of Prashanta Kumar Panda'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 Prashanta Kumar Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashanta Kumar Panda more than expected).

Fields of papers citing papers by Prashanta Kumar Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashanta Kumar Panda. 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 Prashanta Kumar Panda. The network helps show where Prashanta Kumar Panda may publish in the future.

Co-authors

The 25 scholars most cited alongside Prashanta Kumar Panda, 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 Prashanta Kumar Panda Line = papers co-authored together Prashanta Kumar Panda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Autophagy and apoptosis: where do they meet?
Hit paper breakdown →
2014490
2 2013183
3 2015112
4 2017100
5 201991
6 201383
7 201768
8 201761
9 201460
10 201656
11 201448
12 201346
13 201943
14 201740
15 201939
16 201838
17 201937
18 201635
19 201532
20 201731

About Prashanta Kumar Panda

Prashanta Kumar Panda is a scholar working on Epidemiology, Molecular Biology, Immunology, Biotechnology and Oncology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), Toxin Mechanisms and Immunotoxins (10 papers), Transgenic Plants and Applications (5 papers), Calcium signaling and nucleotide metabolism (3 papers), Cancer Cells and Metastasis (3 papers), Alzheimer's disease research and treatments (2 papers), DNA Repair Mechanisms (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Geriatrics and Gerontology (89 citations), Epidemiology (753 citations), Cancer Research (308 citations), Physiology (102 citations) and Biotechnology (150 citations). Prashanta Kumar Panda has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Sujit K. Bhutia, Subhadip Mukhopadhyay, Niharika Sinha, Durgesh Nandini Das, Prajna Paramita Naik, Tapas K. Maiti, Prakash Priyadarshi Praharaj, Biswa Ranjan Meher, Rajesh Agarwal and Shankargouda Patil. Their work appears in journals such as Molecular Carcinogenesis, Free Radical Biology and Medicine, Oral Oncology, Environmental Toxicology and Pharmacology and Food and Chemical Toxicology.

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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