Sapna Arjun
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
-
- Cardiovascular Disease and Adiposity
Papers in
-
- Extracellular vesicles in disease 2
- Metabolism, Diabetes, and Cancer 1
- Signaling Pathways in Disease 1
- Surgery 3
- Pancreatic function and diabetes 2
- Co-authors
- Derek M. Yellon (10 shared papers)Sean M. Davidson (7 shared papers)Ying Zheng (2 shared papers)Vivek Sivaraman (2 shared papers)Jessica Kearney (2 shared papers)José M. Vicencio (2 shared papers)Andrew Hall (1 shared paper)Gabriele Multhoff (1 shared paper)
- Journals
- Basic Research in Cardiology (2 papers)JACC Basic to Translational Science (1 paper)Cardiovascular Drugs and Therapy (1 paper)Heart (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Sapna Arjun
10 papers receiving 822 citations
Sapna Arjun's Hit Papers
Peers
Comparison fields: 5 of 69
- Cancer Research 168
- Cardiology and Cardiovascular Medicine 175
- Molecular Biology 545
- Endocrinology, Diabetes and Metabolism 118
- Pathology and Forensic Medicine 124
Countries citing papers authored by Sapna Arjun
This map shows the geographic impact of Sapna Arjun'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 Sapna Arjun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sapna Arjun more than expected).
Fields of papers citing papers by Sapna Arjun
This network shows the impact of papers produced by Sapna Arjun. 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 Sapna Arjun. The network helps show where Sapna Arjun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sapna Arjun, 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 | Plasma Exosomes Protect the Myocardium From Ischemia-Reperfusion Injury Hit paper breakdown → | 2015 | 443 |
| 2 | 2019 | 128 | |
| 3 | 2018 | 71 | |
| 4 | 2010 | 59 | |
| 5 | 2018 | 54 | |
| 6 | 2021 | 42 | |
| 7 | 2018 | 20 | |
| 8 | 2016 | 6 | |
| 9 | 2014 | 5 | |
| 10 | 2024 | 2 |
About Sapna Arjun
Sapna Arjun is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 830 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Pancreatic function and diabetes (2 papers), Cardiovascular Function and Risk Factors (2 papers), Extracellular vesicles in disease (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Signaling Pathways in Disease (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Cancer Research (168 citations), Cardiology and Cardiovascular Medicine (175 citations), Molecular Biology (545 citations), Endocrinology, Diabetes and Metabolism (118 citations) and Pathology and Forensic Medicine (124 citations). Sapna Arjun has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Derek M. Yellon, Sean M. Davidson, Ying Zheng, Vivek Sivaraman, Jessica Kearney, José M. Vicencio, Andrew Hall, Gabriele Multhoff, Jaime A. Riquelme and Debashish Das. Their work appears in journals such as Basic Research in Cardiology, JACC Basic to Translational Science, Cardiovascular Drugs and Therapy, Heart and Journal of Cellular and Molecular Medicine.
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.