Sandeep Dave
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
-
- Pineapple and bromelain studies 6
- Peroxisome Proliferator-Activated Receptors 2
- Oncology 3
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Pawan Gupta (9 shared papers)Hedwin Kitdorlang Dkhar (6 shared papers)Ravikanth Nanduri (5 shared papers)Sahil Mahajan (6 shared papers)Vemika Chandra (5 shared papers)David E. Euler (1 shared paper)Ashok K. Janmeja (1 shared paper)Javed N. Agrewala (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)PLoS ONE (3 papers)Clinical Chemistry (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Sandeep Dave
15 papers receiving 513 citations
Peers
Comparison fields: 5 of 77
- Infectious Diseases 136
- Physiology 30
- Immunology 105
- Biochemistry 21
- Molecular Biology 240
Countries citing papers authored by Sandeep Dave
This map shows the geographic impact of Sandeep Dave'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 Sandeep Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Dave more than expected).
Fields of papers citing papers by Sandeep Dave
This network shows the impact of papers produced by Sandeep Dave. 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 Sandeep Dave. The network helps show where Sandeep Dave may publish in the future.
Co-authors
The 24 scholars most cited alongside Sandeep Dave, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 166 | |
| 2 | 2012 | 66 | |
| 3 | 1996 | 64 | |
| 4 | 2014 | 56 | |
| 5 | 2013 | 38 | |
| 6 | 1996 | 24 | |
| 7 | 2012 | 23 | |
| 8 | 2010 | 18 | |
| 9 | 2010 | 18 | |
| 10 | 1990 | 17 | |
| 11 | 2014 | 15 | |
| 12 | 2019 | 13 | |
| 13 | 2011 | 9 | |
| 14 | 2018 | 7 | |
| 15 | 2012 | 1 |
About Sandeep Dave
Sandeep Dave is a scholar working on Molecular Biology, Oncology, Nutrition and Dietetics, Epidemiology and Physiology, having authored 15 papers that have together received 535 indexed citations. Recurring topics across this work include Pineapple and bromelain studies (6 papers), Microtubule and mitosis dynamics (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Plant nutrient uptake and metabolism (1 paper), Adenosine and Purinergic Signaling (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Infectious Diseases (136 citations), Physiology (30 citations), Immunology (105 citations), Biochemistry (21 citations) and Molecular Biology (240 citations). Sandeep Dave has collaborated with scholars based in India and United States. Frequent co-authors include Pawan Gupta, Hedwin Kitdorlang Dkhar, Ravikanth Nanduri, Sahil Mahajan, Vemika Chandra, David E. Euler, Ashok K. Janmeja, Javed N. Agrewala, David J. Mogul and Ashwani Kumar. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Clinical Chemistry, The International Journal of Biochemistry & Cell Biology and Cell Reports.
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.