Sujit Mukherjee

663 total citations
10 papers, 480 citations indexed

About

Sujit Mukherjee is a scholar working on Immunology, Infectious Diseases and Oncology. According to data from OpenAlex, Sujit Mukherjee has authored 10 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Infectious Diseases and 3 papers in Oncology. Recurrent topics in Sujit Mukherjee's work include COVID-19 Clinical Research Studies (3 papers), Liver Disease and Transplantation (2 papers) and Phagocytosis and Immune Regulation (2 papers). Sujit Mukherjee is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Liver Disease and Transplantation (2 papers) and Phagocytosis and Immune Regulation (2 papers). Sujit Mukherjee collaborates with scholars based in United Kingdom, United States and Switzerland. Sujit Mukherjee's co-authors include Mark Thursz, David J. Pinato, Lorenza Rimassa, Francesco Mauri, Ching Ngar Wong, Rohini Sharma, Takashi Mineo, Nadia Guerra, Petros Fessas and Cathrin Gudd and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Sujit Mukherjee

10 papers receiving 475 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sujit Mukherjee United Kingdom 8 173 166 162 117 110 10 480
Aude Desnoyer France 13 129 0.7× 226 1.4× 120 0.7× 66 0.6× 130 1.2× 28 534
Xiaoguang Dou China 16 377 2.2× 46 0.3× 388 2.4× 56 0.5× 67 0.6× 72 638
Àngels Vilella Spain 11 143 0.8× 99 0.6× 227 1.4× 37 0.3× 74 0.7× 27 577
Norman Junge Germany 14 205 1.2× 84 0.5× 145 0.9× 45 0.4× 23 0.2× 42 468
Chongtu Yang China 13 360 2.1× 100 0.6× 252 1.6× 157 1.3× 27 0.2× 58 656
Hee Sik Sun South Korea 16 370 2.1× 142 0.9× 359 2.2× 36 0.3× 54 0.5× 54 775
Sonja K. Olsen United States 13 211 1.2× 66 0.4× 197 1.2× 51 0.4× 27 0.2× 24 549
Tiantian Wang China 10 50 0.3× 86 0.5× 60 0.4× 69 0.6× 32 0.3× 31 320
Moon-Sing Lee Taiwan 11 106 0.6× 71 0.4× 141 0.9× 21 0.2× 29 0.3× 17 406
Tomoko Takano Japan 13 127 0.7× 23 0.1× 163 1.0× 68 0.6× 68 0.6× 38 548

Countries citing papers authored by Sujit Mukherjee

Since Specialization
Citations

This map shows the geographic impact of Sujit 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 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 Mukherjee more than expected).

Fields of papers citing papers by Sujit Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujit Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sujit Mukherjee. A scholar is included among the top collaborators of Sujit Mukherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sujit Mukherjee. Sujit Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Middleton, Paul, Pablo N. Perez‐Guzman, Mara D. Kont, et al.. (2021). Characteristics and outcomes of clinically diagnosed RT-PCR swab negative COVID-19: a retrospective cohort study. Scientific Reports. 11(1). 2455–2455. 10 indexed citations
2.
Khamri, Wafa, Cathrin Gudd, Tong Liu, et al.. (2021). Suppressor CD4+T cells expressing HLA-G are expanded in the peripheral blood from patients with acute decompensation of cirrhosis. Gut. 71(6). 1192–1202. 7 indexed citations
3.
Gudd, Cathrin, Lewis Au, Evangelos Triantafyllou, et al.. (2021). Activation and transcriptional profile of monocytes and CD8+ T cells are altered in checkpoint inhibitor-related hepatitis. Journal of Hepatology. 75(1). 177–189. 43 indexed citations
4.
Triantafyllou, Evangelos, Cathrin Gudd, Francesca M. Trovato, et al.. (2020). PD-1 blockade improves Kupffer cell bacterial clearance in acute liver injury. Journal of Clinical Investigation. 131(4). 80 indexed citations
5.
Pinato, David J., Nadia Guerra, Petros Fessas, et al.. (2020). Immune-based therapies for hepatocellular carcinoma. Oncogene. 39(18). 3620–3637. 146 indexed citations
6.
Forlano, Roberta, Benjamin H. Mullish, Sujit Mukherjee, et al.. (2020). In-hospital mortality is associated with inflammatory response in NAFLD patients admitted for COVID-19. PLoS ONE. 15(10). e0240400–e0240400. 51 indexed citations
7.
Daunt, Anna, Sujit Mukherjee, Peter Crook, et al.. (2020). Report 17: Clinical characteristics and predictors of outcomes of hospitalised patients with COVID-19 in a London NHS Trust: a retrospective cohort study. Spiral (Imperial College London). 13 indexed citations
8.
Perez‐Guzman, Pablo N., Anna Daunt, Sujit Mukherjee, et al.. (2020). Clinical Characteristics and Predictors of Outcomes of Hospitalized Patients With Coronavirus Disease 2019 in a Multiethnic London National Health Service Trust: A Retrospective Cohort Study. Clinical Infectious Diseases. 73(11). e4047–e4057. 60 indexed citations
9.
Lebossé, Fanny, Cathrin Gudd, Arjuna Singanayagam, et al.. (2019). CD8+ T cells from patients with cirrhosis display a phenotype that may contribute to cirrhosis-associated immune dysfunction. EBioMedicine. 49. 258–268. 69 indexed citations
10.
Mukherjee, Sujit, Oltin T. Pop, Evangelos Triantafyllou, et al.. (2017). Role of expression of the tumour-associated macrophage receptor, MERTK, in hepatocellular carcinoma. The Lancet. 389. S72–S72. 1 indexed citations

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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