Sugata Roy

2.4k citations
22 papers · 980 indexed · h-index 16
Topics
Tuberculosis Research and Epidemiology (11 papers)Immune Cell Function and Interaction (7 papers)Cytokine Signaling Pathways and Interactions (6 papers)

In The Last Decade

Sugata Roy

22 papers receiving 969 citations

Peers

Sugata Roy
Comparison fields: 5 of 94
  • Immunology 496
  • Infectious Diseases 308
  • Molecular Biology 297
  • Epidemiology 282
  • Cancer Research 141
Replace Dympna J. Connolly with:
Dympna J. Connolly Ireland
Eunice Y. Tsai United States
Kushagra Bansal India
Kara L. Conway United States
Jay Reddy United States
Narayana Yeddula India
Macarena Beigier‐Bompadre Argentina
Jeroen W. J. van Heijst Netherlands
Lele Zhu United States
Sambit K. Nanda United Kingdom
Sugata Roy relative to Dympna J. Connolly Ireland Dympna J. Connolly's profile →
Citations per field
00.5×1.5×
Dympna J. Connolly · 1×
Citations per year

Countries citing papers authored by Sugata Roy

Since Specialization
Citations

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

Fields of papers citing papers by Sugata Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sugata Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Sugata Roy. A scholar is included among the top collaborators of Sugata Roy 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 Sugata Roy. Sugata Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 2
3 27
4 61
5 23
6 91
7 47
8 22
9 80
10 32
11 11
12 25
13 85
14 127
15
NK Cells Lyse T Regulatory Cells in Human Infection with An Intracellular Pathogen
1
16 62
17 144
18 60
19 39
20
Sepsis-induced release of interleukin-6 may activate the immediate-early gene program through a hypothalamic-hypophyseal mechanism.
9

About Sugata Roy

Sugata Roy is a scholar working on Infectious Diseases, Immunology and Toxicology, having authored 22 papers that have together received 980 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Immune Cell Function and Interaction (7 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Immunology (496 citations), Infectious Diseases (308 citations) and Cancer Research (141 citations). Sugata Roy has collaborated with scholars based in South Africa, Japan and United States. Frequent co-authors include Shiping Wu, Peter F. Barnes, Ankita Garg, Ramakrishna Vankayalapati, Sadhna Sharma, Monika Sharma, Harukazu Suzuki, Frank Brombacher, Reto Guler and David Cosman. Their work appears in journals such as Nucleic Acids Research, The Journal of Immunology and PLoS ONE.

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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