Sunando Datta
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Amoebic Infections and Treatments 17
- Surgery 12
- Anesthesia and Pain Management 7
- Nausea and vomiting management 4
- Co-authors
- Karin B. Ackema (1 shared paper)Dmitry Poteryaev (1 shared paper)Marino Zerial (1 shared paper)Anne Spang (1 shared paper)Subhadip Ghosh (2 shared papers)Nirmal K. Das (2 shared papers)Saptarshi Mukherjee (2 shared papers)Angela M. Bader (2 shared papers)
- Journals
- Biochemistry (3 papers)Journal of Cell Science (3 papers)Molecular Microbiology (3 papers)PLoS Pathogens (3 papers)Anesthesiology (3 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Sunando Datta
41 papers receiving 1.4k citations
Sunando Datta's Hit Papers
Peers
Comparison fields: 5 of 100
- Cell Biology 496
- Physiology 140
- Parasitology 87
- Aging 20
- Infectious Diseases 158
Countries citing papers authored by Sunando Datta
This map shows the geographic impact of Sunando Datta'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 Sunando Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunando Datta more than expected).
Fields of papers citing papers by Sunando Datta
This network shows the impact of papers produced by Sunando Datta. 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 Sunando Datta. The network helps show where Sunando Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunando Datta, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of the Switch in Early-to-Late Endosome Transition Hit paper breakdown → | 2010 | 567 |
| 2 | 2015 | 163 | |
| 3 | 1991 | 113 | |
| 4 | 2014 | 61 | |
| 5 | 2015 | 38 | |
| 6 | 1990 | 38 | |
| 7 | 2014 | 37 | |
| 8 | 2006 | 36 | |
| 9 | 2019 | 36 | |
| 10 | 2007 | 33 | |
| 11 | 2020 | 31 | |
| 12 | 2018 | 24 | |
| 13 | 2017 | 24 | |
| 14 | 2015 | 21 | |
| 15 | 1994 | 19 | |
| 16 | 1987 | 19 | |
| 17 | 2017 | 18 | |
| 18 | 2014 | 18 | |
| 19 | 2015 | 13 | |
| 20 | 1974 | 11 |
About Sunando Datta
Sunando Datta is a scholar working on Infectious Diseases, Surgery, Molecular Biology, Cell Biology and Physiology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (17 papers), Cellular transport and secretion (10 papers), Anesthesia and Pain Management (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Parasitic Infections and Diagnostics (5 papers), Neonatal Health and Biochemistry (5 papers), Nausea and vomiting management (4 papers) and Retinal Development and Disorders (4 papers). The work is most often cited by research in Cell Biology (496 citations), Physiology (140 citations), Parasitology (87 citations), Aging (20 citations) and Infectious Diseases (158 citations). Sunando Datta has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Karin B. Ackema, Dmitry Poteryaev, Marino Zerial, Anne Spang, Subhadip Ghosh, Nirmal K. Das, Saptarshi Mukherjee, Angela M. Bader, Tomoyoshi Nozaki and Nicola Hughes. Their work appears in journals such as Biochemistry, Journal of Cell Science, Molecular Microbiology, PLoS Pathogens and Anesthesiology.
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.