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 13
- Lipid Membrane Structure and Behavior 10
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- Trypanosoma species research and implications 4
- Mycobacterium research and diagnosis 4
- Co-authors
- Amitabha Chattopadhyay (20 shared papers)Md. Jafurulla (9 shared papers)Chitra Mandal (3 shared papers)Parijat Sarkar (4 shared papers)Saptarshi Roy (2 shared papers)Tirumalai R. Raghunand (3 shared papers)Durba Sengupta (3 shared papers)Jana Selent (1 shared paper)
- Journals
- Chemistry and Physics of Lipids (3 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (2 papers)Journal of Lipid Research (1 paper)Advances in experimental medicine and biology (1 paper)Traffic (1 paper)
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
G. Aditya Kumar
25 papers receiving 488 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 133
- Molecular Biology 320
- Cell Biology 65
- Biophysics 20
- Parasitology 22
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 47 | |
| 2 | 2016 | 40 | |
| 3 | 2019 | 40 | |
| 4 | 2014 | 39 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 35 | |
| 7 | 2022 | 34 | |
| 8 | 2016 | 29 | |
| 9 | 2019 | 28 | |
| 10 | 2015 | 25 | |
| 11 | 2019 | 23 | |
| 12 | 2016 | 19 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 7 |
About G. Aditya Kumar
G. Aditya Kumar is a scholar working on Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience, Cell Biology and Surgery, having authored 28 papers that have together received 490 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Lipid Membrane Structure and Behavior (10 papers), Cellular transport and secretion (6 papers), Trypanosoma species research and implications (4 papers), Research on Leishmaniasis Studies (4 papers), Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (133 citations), Molecular Biology (320 citations), Cell Biology (65 citations), Biophysics (20 citations) and Parasitology (22 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, Parijat Sarkar, Saptarshi Roy, Tirumalai R. Raghunand, Durba Sengupta, Jana Selent, Tomasz Maciej Stępniewski and Manojkumar A. Puthenveedu. Their work appears in journals such as Chemistry and Physics of Lipids, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Lipid Research, Advances in experimental medicine and biology and Traffic.
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.