Arjun Deb
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
-
- Cardiac Fibrosis and Remodeling
Papers in
-
- Cardiac Fibrosis and Remodeling 16
- Cardiac electrophysiology and arrhythmias 3
- Genetics 8
- Mesenchymal stem cell research 7
- Co-authors
- Noel M. Caplice (9 shared papers)Victor J. Dzau (5 shared papers)Lunan Zhang (3 shared papers)Nicolas O. Noiseux (2 shared papers)Massimiliano Gnecchi (2 shared papers)Eric Ubil (2 shared papers)Richard E. Pratt (3 shared papers)David Simper (5 shared papers)
- Journals
- Circulation (4 papers)Journal of Clinical Investigation (3 papers)Circulation Research (3 papers)New England Journal of Medicine (2 papers)JCI Insight (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Arjun Deb
61 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 106
- Genetics 1.1k
- Cardiology and Cardiovascular Medicine 980
- Molecular Biology 1.7k
- Cancer Research 237
- Surgery 584
Countries citing papers authored by Arjun Deb
This map shows the geographic impact of Arjun Deb'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 Arjun Deb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Deb more than expected).
Fields of papers citing papers by Arjun Deb
This network shows the impact of papers produced by Arjun Deb. 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 Arjun Deb. The network helps show where Arjun Deb may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Deb, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 461 | |
| 2 | 2006 | 426 | |
| 3 | 2016 | 329 | |
| 4 | 2014 | 302 | |
| 5 | 2003 | 299 | |
| 6 | 2017 | 282 | |
| 7 | 2011 | 266 | |
| 8 | 2010 | 206 | |
| 9 | 2020 | 178 | |
| 10 | 2014 | 132 | |
| 11 | 2003 | 126 | |
| 12 | 2022 | 118 | |
| 13 | 2008 | 105 | |
| 14 | 2002 | 103 | |
| 15 | 2016 | 101 | |
| 16 | 2004 | 86 | |
| 17 | 2016 | 86 | |
| 18 | 2019 | 75 | |
| 19 | 2005 | 70 | |
| 20 | 2023 | 70 |
About Arjun Deb
Arjun Deb is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology, Immunology and Allergy and Infectious Diseases, having authored 64 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (16 papers), Congenital heart defects research (13 papers), Mesenchymal stem cell research (7 papers), Angiogenesis and VEGF in Cancer (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Genetics (1.1k citations), Cardiology and Cardiovascular Medicine (980 citations), Molecular Biology (1.7k citations), Cancer Research (237 citations) and Surgery (584 citations). Arjun Deb has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Noel M. Caplice, Victor J. Dzau, Lunan Zhang, Nicolas O. Noiseux, Massimiliano Gnecchi, Eric Ubil, Richard E. Pratt, David Simper, Shaohua Wang and Maria Mirotsou. Their work appears in journals such as Circulation, Journal of Clinical Investigation, Circulation Research, New England Journal of Medicine and JCI Insight.
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.