Shilpak Chatterjee

2.0k citations
40 papers · 947 indexed · h-index 18

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Atherosclerosis and Cardiovascular Diseases
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Metal complexes synthesis and properties

Papers in

Shilpak Chatterjee

36 papers receiving 941 citations

Peers

Shilpak Chatterjee
Comparison fields: 5 of 100
  • Immunology 415
  • Oncology 307
  • Physiology 49
  • Cell Biology 148
  • Hematology 77
Replace Tejaswitha Jairaj Naik with:
Tejaswitha Jairaj Naik United States
Xu Di United States
Gilles Despouy France
Angelika Muchowicz Poland
Ilaria Buondonno Italy
Darren C. Phillips United States
Inge Tinhofer Austria
Jackie Thorburn United States
J. E. Kravchenko Russia
Bibiana I. Ferreira Portugal
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Citations per field
00.5×3.4×
Tejaswitha Jairaj Naik · 1×
Citations per year

Countries citing papers authored by Shilpak Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Shilpak Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20250
4 20233
5 20238
6 20236
7 202238
8 20224
9 20213
10 201843
11 201827
12 201562
13 20159
14 201446
15 201411
16 201383
17 201240
18 201112
19 200866
20 200667

About Shilpak Chatterjee

Shilpak Chatterjee is a scholar working on Physiology, Immunology, Oncology, Toxicology and Nutrition and Dietetics, having authored 40 papers that have together received 947 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (7 papers), Drug Transport and Resistance Mechanisms (6 papers), T-cell and B-cell Immunology (5 papers), COVID-19 Clinical Research Studies (4 papers), Trace Elements in Health (4 papers), Metal complexes synthesis and properties (4 papers) and melanin and skin pigmentation (4 papers). The work is most often cited by research in Immunology (415 citations), Oncology (307 citations), Physiology (49 citations), Cell Biology (148 citations) and Hematology (77 citations). Shilpak Chatterjee has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Shikhar Mehrotra, Soumitra Kumar Choudhuri, Paramita Chakraborty, Jonathan M. Eby, I. Caroline Le Poole, Mitali Chatterjee, Thomas Efferth, Smarajit Pal, Hee-Kap Kang and Xue‐Zhong Yu. Their work appears in journals such as BioMetals, The Journal of Immunology, Cancer Research, Journal of Clinical Investigation and Journal of Investigative Dermatology.

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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