Sujit K. Mukherjee

694 citations
10 papers · 533 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Liver Disease and Transplantation 3
    • Phagocytosis and Immune Regulation 2
    • Immunotherapy and Immune Responses 1

Sujit K. Mukherjee

10 papers receiving 525 citations

Peers

Sujit K. Mukherjee
Comparison fields: 5 of 70
  • Hepatology 162
  • Oncology 136
  • Immunology 109
  • Epidemiology 148
  • Infectious Diseases 82
Replace Clémence Hollande with:
Clémence Hollande France
Dipesh Kumar Yadav China
Nekisa Zakeri United Kingdom
Hans‐Udo Kasper Germany
Sally Zhao United States
Thinesh Lee Krishnamoorthy Singapore
Alice Susannah Bexon United States
Dominik J. Kaczmarek Germany
Amir Gander United Kingdom
Javid Fazili United States
Sujit K. Mukherjee relative to Clémence Hollande France Clémence Hollande's profile →
Citations per field
00.5×1.7×
Clémence Hollande · 1×
Citations per year

Countries citing papers authored by Sujit K. Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Sujit K. Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujit K. Mukherjee. 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 Sujit K. Mukherjee. The network helps show where Sujit K. Mukherjee may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2020170
2 202094
3 201980
4 202067
5 202054
6 202147
7 202111
8 20218
9 20171
10 20231

About Sujit K. Mukherjee

Sujit K. Mukherjee is a scholar working on Hepatology, Immunology, Infectious Diseases, Oncology and Pharmacology, having authored 10 papers that have together received 533 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (3 papers), COVID-19 Clinical Research Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Phagocytosis and Immune Regulation (2 papers), Clinical Nutrition and Gastroenterology (1 paper), Immunotherapy and Immune Responses (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Hepatology (162 citations), Oncology (136 citations), Immunology (109 citations), Epidemiology (148 citations) and Infectious Diseases (82 citations). Sujit K. Mukherjee has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Mark R. Thursz, David James Pinato, Francesco Angelo Mauri, Ching Ngar Wong, Nadia Guerra, Lorenza Rimassa, Petros Fessas, Takashi Mineo, Rohini Sharma and Evangelos Triantafyllou. Their work appears in journals such as Journal of Hepatology, EBioMedicine, The Lancet, Scientific Reports and Journal of Clinical Investigation.

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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