Abir Kumar Panda

830 citations
17 papers · 587 · h-index 10

Impact in

    • Curcumin's Biomedical Applications
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 8
    • Immunotherapy and Immune Responses 4
    • CAR-T cell therapy research 3
    • Chemokine receptors and signaling 2

Abir Kumar Panda

16 papers receiving 577 citations

Peers

Abir Kumar Panda
Comparison fields: 5 of 80
  • Molecular Medicine 170
  • Immunology 175
  • Toxicology 17
  • Oncology 123
  • Cancer Research 58
Replace Juni Chakraborty with:
Juni Chakraborty India
Shravanti Mukherjee India
Fardin Hashemi Türkiye
Qingdi Quentin Li United States
Anna‐Lena Mueller Germany
Mark I. James United Kingdom
Lavinia Lupuţ Romania
Peter H. Killian Germany
Ikuko Nakamae Japan
Chin Cheng Su Taiwan
Abir Kumar Panda relative to Juni Chakraborty India Juni Chakraborty's profile →
Citations per field
00.5×2×3×4.2×
Juni Chakraborty · 1×
Citations per year

Countries citing papers authored by Abir Kumar Panda

Since Specialization
Citations

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

Fields of papers citing papers by Abir Kumar Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017180
2 2015132
3 202249
4 201746
5 201442
6 201934
7 201626
8 202121
9 202216
10 202411
11 20189
12 20208
13 20176
14 20173
15 20253
16 20251
17 20250

About Abir Kumar Panda

Abir Kumar Panda is a scholar working on Immunology, Oncology, Cancer Research, Molecular Medicine and Molecular Biology, having authored 17 papers that have together received 587 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers), Curcumin's Biomedical Applications (2 papers), Chemokine receptors and signaling (2 papers), RNA modifications and cancer (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Molecular Medicine (170 citations), Immunology (175 citations), Toxicology (17 citations), Oncology (123 citations) and Cancer Research (58 citations). Abir Kumar Panda has collaborated with scholars based in India and United States. Frequent co-authors include Gaurisankar Sa, Sayantan Bose, Irene Sarkar, Tila Khan, Shravanti Mukherjee, Sreeparna Chakraborty, Deblina Guha, Tania Sarkar, Diptendra Kumar Sarkar and Santosh Kumar Kar. Their work appears in journals such as Scientific Reports, The Journal of Immunology, Immunology, European Journal of Immunology and Immunology and Cell Biology.

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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