Sandip Chaugai

1.4k citations
22 papers · 1.0k · h-index 17

Impact in

Papers in

Sandip Chaugai

22 papers receiving 1.0k citations

Peers

Sandip Chaugai
Comparison fields: 5 of 86
  • Cancer Research 444
  • Cardiology and Cardiovascular Medicine 261
  • Molecular Biology 557
  • Biophysics 42
  • Biochemistry 39
Replace Siva S. V. P. Sakamuri with:
Siva S. V. P. Sakamuri United States
Yoshifumi Okawa Japan
Zaicheng Xu China
Zhen Qiu China
Saveria Femminò Italy
Makoto Ariyoshi Japan
Arun Samidurai United States
Hongyan Dai China
Quan He United States
Sandip Chaugai relative to Siva S. V. P. Sakamuri United States Siva S. V. P. Sakamuri's profile →
Citations per field
00.5×4.7×
Siva S. V. P. Sakamuri · 1×
Citations per year

Countries citing papers authored by Sandip Chaugai

Since Specialization
Citations

This map shows the geographic impact of Sandip Chaugai'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 Sandip Chaugai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandip Chaugai more than expected).

Fields of papers citing papers by Sandip Chaugai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandip Chaugai. 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 Sandip Chaugai. The network helps show where Sandip Chaugai may publish in the future.

Co-authors

The 25 scholars most cited alongside Sandip Chaugai, 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 Sandip Chaugai Line = papers co-authored together Sandip Chaugai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013172
2 2013114
3 2014110
4 201595
5 201583
6 201474
7 201646
8 201945
9 201436
10 201536
11 201432
12 201531
13 201625
14 201525
15 201922
16 201421
17 201520
18 201814
19 201613
20 201511

About Sandip Chaugai

Sandip Chaugai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Immunology and Surgery, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (4 papers), Blood Pressure and Hypertension Studies (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Renin-Angiotensin System Studies (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Cancer Research (444 citations), Cardiology and Cardiovascular Medicine (261 citations), Molecular Biology (557 citations), Biophysics (42 citations) and Biochemistry (39 citations). Sandip Chaugai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dao Wen Wang, Chen Chen, Yan Wang, Guangwen Long, Zhongwei Yin, Chunxia Zhao, Mengwen Yan, Amir A. Sepehry, Yan Lou and Huaping Li. Their work appears in journals such as JAMA Network Open, Medicine, Journal of Cardiovascular Pharmacology and Therapeutics, Molecular Genetics and Genomics and BMC Neurology.

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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