G. Aditya Kumar
Impact in
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- Neuropeptides and Animal Physiology
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- Receptor Mechanisms and Signaling
- Lipid Membrane Structure and Behavior
- Sphingolipid Metabolism and Signaling
Papers in
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- Receptor Mechanisms and Signaling 10
- Lipid Membrane Structure and Behavior 9
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- Mycobacterium research and diagnosis 4
- Trypanosoma species research and implications 4
- Co-authors
- Amitabha Chattopadhyay (16 shared papers)Md. Jafurulla (9 shared papers)Chitra Mandal (3 shared papers)Saptarshi Roy (2 shared papers)Parijat Sarkar (3 shared papers)Tirumalai R. Raghunand (3 shared papers)Tomasz Maciej Stępniewski (1 shared paper)Manojkumar A. Puthenveedu (3 shared papers)
- Journals
- Chemistry and Physics of Lipids (3 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (2 papers)The Journal of Cell Biology (1 paper)Scientific Reports (1 paper)ACS Chemical Neuroscience (1 paper)
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
G. Aditya Kumar
21 papers receiving 447 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 115
- Molecular Biology 291
- Cell Biology 60
- Parasitology 22
- Biophysics 19
Countries citing papers authored by G. Aditya Kumar
This map shows the geographic impact of G. Aditya Kumar'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 G. Aditya Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Aditya Kumar more than expected).
Fields of papers citing papers by G. Aditya Kumar
This network shows the impact of papers produced by G. Aditya Kumar. 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 G. Aditya Kumar. The network helps show where G. Aditya Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Aditya Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 46 | |
| 2 | 2019 | 40 | |
| 3 | 2016 | 38 | |
| 4 | 2021 | 37 | |
| 5 | 2014 | 37 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 31 | |
| 8 | 2016 | 29 | |
| 9 | 2019 | 28 | |
| 10 | 2015 | 25 | |
| 11 | 2019 | 23 | |
| 12 | 2016 | 19 | |
| 13 | 2022 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 2 |
About G. Aditya Kumar
G. Aditya Kumar is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Surgery and Infectious Diseases, having authored 24 papers that have together received 449 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Lipid Membrane Structure and Behavior (9 papers), Cellular transport and secretion (6 papers), Tuberculosis Research and Epidemiology (4 papers), Research on Leishmaniasis Studies (4 papers), Mycobacterium research and diagnosis (4 papers), Trypanosoma species research and implications (4 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (115 citations), Molecular Biology (291 citations), Cell Biology (60 citations), Parasitology (22 citations) and Biophysics (19 citations). G. Aditya Kumar has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Amitabha Chattopadhyay, Md. Jafurulla, Chitra Mandal, Saptarshi Roy, Parijat Sarkar, Tirumalai R. Raghunand, Tomasz Maciej Stępniewski, Manojkumar A. Puthenveedu, Jana Selent and G. Srinivas. Their work appears in journals such as Chemistry and Physics of Lipids, Biochimica et Biophysica Acta (BBA) - Biomembranes, The Journal of Cell Biology, Scientific Reports and ACS Chemical Neuroscience.
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.