Joydeep Sarkar
Impact in
- Hematology top 5%
- Iron Metabolism and Disorders
- Nutrition and Dietetics top 10%
- Trace Elements in Health
Papers in
-
- Iron Metabolism and Disorders 4
- Co-authors
- Paul L. Fox (3 shared papers)Ramesh Potla (1 shared paper)Z. Leah Harris (1 shared paper)Yoram Vodovotz (4 shared papers)Vasudevan Seshadri (1 shared paper)Rubén Zamora (4 shared papers)Gregory Constantine (4 shared papers)Michael E. Ketterer (1 shared paper)
- Journals
- Journal of Thoracic and Cardiovascular Surgery (2 papers)PLoS Computational Biology (2 papers)Cell Metabolism (1 paper)ClinicoEconomics and Outcomes Research (1 paper)Carcinogenesis (1 paper)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Joydeep Sarkar
26 papers receiving 684 citations
Peers
Comparison fields: 5 of 113
- Hematology 160
- Nutrition and Dietetics 146
- Genetics 88
- Immunology 94
- Clinical Biochemistry 29
Countries citing papers authored by Joydeep Sarkar
This map shows the geographic impact of Joydeep Sarkar'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 Joydeep Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joydeep Sarkar more than expected).
Fields of papers citing papers by Joydeep Sarkar
This network shows the impact of papers produced by Joydeep Sarkar. 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 Joydeep Sarkar. The network helps show where Joydeep Sarkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Joydeep Sarkar, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 134 | |
| 2 | 2003 | 86 | |
| 3 | 2015 | 65 | |
| 4 | 2010 | 63 | |
| 5 | 2006 | 61 | |
| 6 | 2012 | 60 | |
| 7 | 2008 | 44 | |
| 8 | 2009 | 44 | |
| 9 | 2022 | 22 | |
| 10 | 2008 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2014 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 6 | |
| 18 | Modeling traffic impact of flyover at an urban intersection under mixed traffic environment | 2004 | 6 |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About Joydeep Sarkar
Joydeep Sarkar is a scholar working on Molecular Biology, Hematology, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Artificial Intelligence, having authored 30 papers that have together received 711 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (4 papers), Machine Learning in Healthcare (3 papers), Trace Elements in Health (3 papers), Cardiovascular Function and Risk Factors (3 papers), Data Management and Algorithms (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Traffic Prediction and Management Techniques (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Hematology (160 citations), Nutrition and Dietetics (146 citations), Genetics (88 citations), Immunology (94 citations) and Clinical Biochemistry (29 citations). Joydeep Sarkar has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Paul L. Fox, Ramesh Potla, Z. Leah Harris, Yoram Vodovotz, Vasudevan Seshadri, Rubén Zamora, Gregory Constantine, Michael E. Ketterer, Derek Barclay and Ashok K. Giri. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, PLoS Computational Biology, Cell Metabolism, ClinicoEconomics and Outcomes Research and Carcinogenesis.
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.