Sapna Arjun

10 papers receiving 858 citations

Sapna Arjun's Hit Papers

Plasma Exosomes Protect the Myocardium From Ischemia-Reperfusion Injury 2015 · 463 citations
4630+3+7Years since publication100200300400

Peers

Sapna Arjun
Comparison fields: 5 of 70
  • Cancer Research 175
  • Cardiology and Cardiovascular Medicine 179
  • Molecular Biology 567
  • Endocrinology, Diabetes and Metabolism 123
  • Pathology and Forensic Medicine 128
Replace Xiao‐Lei Moore with:
Xiao‐Lei Moore Australia
Karla Marie Kurrelmeyer United States
Przemysław Leszek Poland
Gerardus P. J. van Hout Netherlands
Qiao Liao China
Lingyun Zu China
Elaine J. Tanhehco United States
Lianglong Chen China
Zhengbin Zhu China
Sakine Simsekyilmaz Germany
Sapna Arjun relative to Xiao‐Lei Moore Australia Xiao‐Lei Moore's profile →
Citations per field
00.5×1.5×2×2.4×
Xiao‐Lei Moore · 1×
Citations per year

Countries citing papers authored by Sapna Arjun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sapna Arjun Line = papers co-authored together Sapna Arjun links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Plasma Exosomes Protect the Myocardium From Ischemia-Reperfusion Injury
Hit paper breakdown →
2015463
2 2019137
3 201872
4 201060
5 201858
6 202144
7 201820
8 20167
9 20146
10 20242

About Sapna Arjun

Sapna Arjun is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery, having authored 10 papers that have together received 869 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), Inflammasome and immune disorders (1 paper), Heat shock proteins research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (175 citations), Cardiology and Cardiovascular Medicine (179 citations), Molecular Biology (567 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Pathology and Forensic Medicine (128 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, Jessica C. Kearney, Vikram Sharma, Andrew Rennie Hall, Debashish Das, Ying Hui Zheng, Jose Miguel Vicencio, Gabriele Multhoff and Jaime A. Riquelme. Their work appears in journals such as Basic Research in Cardiology, Cardiovascular Research, Journal of Cellular and Molecular Medicine, Heart and Cardiovascular Drugs and Therapy.

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.

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