Sunil Suchindran

27 papers receiving 1.6k citations

Sunil Suchindran's Hit Papers

27-Hydroxycholesterol Links Hypercholesterolemia and Breast Cancer Pathophysiology 2013 · 632 citations
6320+4+8Years since publication200400600

Peers

Sunil Suchindran
Comparison fields: 5 of 116
  • Hepatology 367
  • Cancer Research 440
  • Epidemiology 474
  • Cardiology and Cardiovascular Medicine 283
  • Genetics 261
Replace Nury Steuerwald with:
Nury Steuerwald United States
Zhuo Li China
Ethan M. Weinberg United States
Masaru Enomoto Japan
Peng Zhu China
Shaogui Wan China
Kerstin Herzer Germany
Jens Werner Germany
Franck Grall United States
Bart Wagner United Kingdom
Sunil Suchindran relative to Nury Steuerwald United States Nury Steuerwald's profile →
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Citations per year

Countries citing papers authored by Sunil Suchindran

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Suchindran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
27-Hydroxycholesterol Links Hypercholesterolemia and Breast Cancer Pathophysiology
Hit paper breakdown →
2013632
2 2010273
3 2016138
4 2010100
5 201780
6 201059
7 201844
8 201442
9 199839
10 201928
11 201026
12 202024
13 200922
14 201015
15 202114
16 201513
17 201513
18 201610
19 20258
20 20088

About Sunil Suchindran

Sunil Suchindran is a scholar working on Epidemiology, Surgery, Molecular Biology, Immunology and Oncology, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (4 papers), Genetic Associations and Epidemiology (3 papers), Respiratory viral infections research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Immune Cell Function and Interaction (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Hepatology (367 citations), Cancer Research (440 citations), Epidemiology (474 citations), Cardiology and Cardiovascular Medicine (283 citations) and Genetics (261 citations). Sunil Suchindran has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jeanette McCarthy, Jeff S. Jasper, Joseph Geradts, Michihisa Umetani, Erik R. Nelson, Sung Hee Park, Donald P. McDonnell, Suzanne E. Wardell, Matthew K. Howe and Varun Sondhi. Their work appears in journals such as Statistical Applications in Genetics and Molecular Biology, Journal of the American College of Cardiology, Clinical Infectious Diseases, BMJ Open Respiratory Research and International Journal of Radiation Oncology*Biology*Physics.

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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