Rahul Kanwar

1.5k citations
21 papers · 782 · 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
    • Colorectal Cancer Treatments and Studies 2
    • Epigenetics and DNA Methylation 3

Rahul Kanwar

21 papers receiving 773 citations

Peers

Rahul Kanwar
Comparison fields: 5 of 93
  • Oncology 441
  • Neurology 164
  • Hematology 91
  • Dermatology 72
  • Epidemiology 238
Replace Alexis Groppi with:
Alexis Groppi France
James K. Sheffield United States
Julie M. Rumble United States
Youko Suehiro Japan
Takehiro Higashi Japan
Ross C. Gruber United States
Tomoko Kohno Japan
Keiko Hashimoto Japan
Brian P. Lipsky United States
Melanie Howell United States
Rahul Kanwar relative to Alexis Groppi France Alexis Groppi's profile →
Citations per field
00.5×7.9×
Alexis Groppi · 1×
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 2013208
2 2012119
3 201567
4 201461
5 201756
6 201244
7 201644
8 201539
9 201738
10 201230
11 201528
12 201521
13 20187
14 20184
15 20204
16 20203
17 20242
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 782 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (7 papers), Hereditary Neurological Disorders (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Epigenetics and DNA Methylation (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Chemotherapy-related skin toxicity (2 papers). The work is most often cited by research in Oncology (441 citations), Neurology (164 citations), Hematology (91 citations), Dermatology (72 citations) and Epidemiology (238 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 Benjamin R. Kipp. Their work appears in journals such as Journal of the Neurological Sciences, Circulation Arrhythmia and Electrophysiology, BMC Genomics, Epigenetics and Pain 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.

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