Sunando Datta
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- Amoebic Infections and Treatments 17
- Cell Biology 10
- Cellular transport and secretion 10
- Co-authors
- Dmitry A. Poteryaev (1 shared paper)Marino Zerial (1 shared paper)Karin B. Ackema (1 shared paper)Anne Spang (1 shared paper)Saptarshi Mukherjee (2 shared papers)Nirmal K. Das (2 shared papers)Subhadip Ghosh (2 shared papers)Angela M. Bader (2 shared papers)
- Journals
- Anesthesiology (3 papers)PLoS Pathogens (3 papers)Biochemistry (3 papers)Molecular Microbiology (3 papers)Journal of Cell Science (3 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Sunando Datta
42 papers receiving 1.6k citations
Sunando Datta's Hit Papers
Peers
Comparison fields: 5 of 107
- Physiology 143
- Cell Biology 505
- Parasitology 91
- Aging 20
- Infectious Diseases 169
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 44 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 | 585 |
| 2 | 2015 | 167 | |
| 3 | 2019 | 149 | |
| 4 | 1991 | 124 | |
| 5 | 2014 | 63 | |
| 6 | 2015 | 41 | |
| 7 | 2019 | 40 | |
| 8 | 1990 | 39 | |
| 9 | 2014 | 37 | |
| 10 | 2006 | 37 | |
| 11 | 2007 | 34 | |
| 12 | 2020 | 32 | |
| 13 | 2017 | 27 | |
| 14 | 2018 | 24 | |
| 15 | 1987 | 23 | |
| 16 | 2015 | 21 | |
| 17 | 1994 | 20 | |
| 18 | 2017 | 19 | |
| 19 | 2014 | 18 | |
| 20 | 2015 | 14 |
About Sunando Datta
Sunando Datta is a scholar working on Infectious Diseases, Cell Biology, Parasitology, Surgery and Pediatrics, Perinatology and Child Health, having authored 44 papers that have together received 1.7k 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), Retinal Development and Disorders (4 papers) and Nausea and vomiting management (4 papers). The work is most often cited by research in Physiology (143 citations), Cell Biology (505 citations), Parasitology (91 citations), Aging (20 citations) and Infectious Diseases (169 citations). Sunando Datta has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Dmitry A. Poteryaev, Marino Zerial, Karin B. Ackema, Anne Spang, Saptarshi Mukherjee, Nirmal K. Das, Subhadip Ghosh, Angela M. Bader, Tomoyoshi Nozaki and Nicola Hughes. Their work appears in journals such as Anesthesiology, PLoS Pathogens, Biochemistry, Molecular Microbiology and Journal of Cell Science.
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.