Rahul Kanwar

1.5k citations
21 papers · 803 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Treatment and Pharmacology
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research
  • Neurology top 10%
    • Neuroblastoma Research and Treatments

Papers in

    • Cancer Treatment and Pharmacology 7
    • Lung Cancer Research Studies 2
    • Epigenetics and DNA Methylation 3

Rahul Kanwar

21 papers receiving 793 citations

Peers

Rahul Kanwar
Comparison fields: 5 of 85
  • Oncology 379
  • Neurology 130
  • Epidemiology 228
  • Hematology 69
  • Dermatology 33
Replace Hongxi Chen with:
Hongxi Chen China
James K. Sheffield United States
Mo Chen China
Herena Eixarch Spain
Takehiro Higashi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Rahul Kanwar

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Kanwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013217
2 2012122
3 201568
4 201462
5 201756
6 201247
7 201644
8 201540
9 201738
10 201230
11 201528
12 201522
13 20188
14 20204
15 20184
16 20243
17 20203
18 20242
19 20162
20 20132

About Rahul Kanwar

Rahul Kanwar is a scholar working on Oncology, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 21 papers that have together received 803 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (7 papers), Epigenetics and DNA Methylation (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Hereditary Neurological Disorders (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Lung Cancer Research Studies (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Oncology (379 citations), Neurology (130 citations), Epidemiology (228 citations), Hematology (69 citations) and Dermatology (33 citations). Rahul Kanwar has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Andreas S. Beutler, Michaela S. Banck, Amit Kulkarni, Terry M. Therneau, Matthew M. Ames, Julie M. Cunningham, Gary P. Schroth, Charles L. Loprinzi, Kathryn J. Ruddy and Kay Minn. Their work appears in journals such as Journal of the Neurological Sciences, Circulation Arrhythmia and Electrophysiology, BMC Genomics, Epigenetics and PLoS ONE.

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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