Arjun Khunger

839 citations
25 papers · 620 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Inflammatory Biomarkers in Disease Prognosis
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Arjun Khunger

23 papers receiving 606 citations

Peers

Arjun Khunger
Comparison fields: 5 of 80
  • Oncology 267
  • Neurology 49
  • Cultural Studies 53
  • Dermatology 42
  • Immunology 72
Replace Chong Li with:
Chong Li China
Jeffrey Michael Sivik United States
David Heinzmann Germany
Hongyang Zhao China
Chuandi Zhou China
Loes Linsen Belgium
Nisha Lucas United States
Arjun Khunger relative to Chong Li China Chong Li's profile →
Citations per field
00.5×2×3×4×4.7×
Chong Li · 1×
Citations per year

Countries citing papers authored by Arjun Khunger

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Khunger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018100
2 201573
3 201971
4 201866
5 201861
6 202060
7 202157
8 201929
9 201924
10 201816
11 202113
12 202212
13 20229
14 20219
15 20185
16 20204
17 20223
18 20212
19 20202
20 20201

About Arjun Khunger

Arjun Khunger is a scholar working on Oncology, Cardiology and Cardiovascular Medicine, Immunology, Dermatology and Hematology, having authored 25 papers that have together received 620 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Melanoma and MAPK Pathways (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Neurological disorders and treatments (2 papers) and Neurological and metabolic disorders (2 papers). The work is most often cited by research in Oncology (267 citations), Neurology (49 citations), Cultural Studies (53 citations), Dermatology (42 citations) and Immunology (72 citations). Arjun Khunger has collaborated with scholars based in United States, India and Pakistan. Frequent co-authors include Vamsidhar Velcheti, Monica Khunger, Niti Khunger, Nikhil Agrawal, Ahmad A. Tarhini, Konark Malhotra, Georgios K. Tsivgoulis, Jeffrey Alan Switzer, Jason J. Chang and Adrián Vladimir Hernández. Their work appears in journals such as PLoS ONE, Translational Oncology, Therapeutic Advances in Medical Oncology, Current Oncology Reports and OncoImmunology.

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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