Arpit Panda

3k citations
5 papers · 2.2k · 2 hit papers · h-index 4

Impact in

  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • interferon and immune responses
    • Immune cells in cancer

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 1
    • Cancer Genomics and Diagnostics 1

Arpit Panda

5 papers receiving 2.2k citations

Arpit Panda's Hit Papers

Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade 2019 · 1.6k citations
1.6k0+2+5Years since publication5001k1.5k

Peers

Arpit Panda
Comparison fields: 5 of 59
  • Oncology 1.4k
  • Immunology 753
  • Molecular Biology 449
  • Cancer Research 69
  • Hepatology 31
Replace Jeffrey Joseph Ishizuka with:
Jeffrey Joseph Ishizuka United States
Seth Maleri United States
Smita S. Chandran United States
Dawn E. Comstock United States
Shauna M. Blackmon United States
Jenna L. Collier United States
Juhi R. Kuchroo United States
Rose Al Abosy United States
Hans Vitzthum United States
Céline M. Laumont Canada
Arpit Panda relative to Jeffrey Joseph Ishizuka United States Jeffrey Joseph Ishizuka's profile →
Citations per field
00.5×1.5×
Jeffrey Joseph Ishizuka · 1×
Citations per year

Countries citing papers authored by Arpit Panda

Since Specialization
Citations

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

Fields of papers citing papers by Arpit Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Arpit Panda, 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 Arpit Panda Line = papers co-authored together Arpit Panda links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade
Hit paper breakdown →
20191601
2
Loss of ADAR1 in tumours overcomes resistance to immune checkpoint blockade
Hit paper breakdown →
2018535
3 202173
4 202533
5 20241

About Arpit Panda

Arpit Panda is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Surgery, having authored 5 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), RNA regulation and disease (2 papers), Epigenetics and DNA Methylation (1 paper), Esophageal Cancer Research and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper), Immune cells in cancer (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (1.4k citations), Immunology (753 citations), Molecular Biology (449 citations), Cancer Research (69 citations) and Hepatology (31 citations). Arpit Panda has collaborated with scholars based in United States and Israel. Frequent co-authors include Pradeep S. Chauhan, Faridi Qaium, Aadel A. Chaudhuri, Melissa Andrea Reimers and Cayce Nawaf. Their work appears in journals such as Nature, Nature Immunology and Nature Genetics.

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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