Selvakumar Sukumar

598 total citations
9 papers, 413 citations indexed

About

Selvakumar Sukumar is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Selvakumar Sukumar has authored 9 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 1 paper in Pathology and Forensic Medicine and 1 paper in Oncology. Recurrent topics in Selvakumar Sukumar's work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (6 papers). Selvakumar Sukumar is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (6 papers). Selvakumar Sukumar collaborates with scholars based in United States and France. Selvakumar Sukumar's co-authors include John G. Tew, Andras K. Szakal, Mohey Eldin El Shikh, Yüksel Aydar, Svetlana Sadekova, Terrill K. McClanahan, Yi Chen, Wendy M. Blumenschein, Golnaz Vahedi and Yuka Kanno and has published in prestigious journals such as Immunity, The Journal of Immunology and Cancer Research.

In The Last Decade

Selvakumar Sukumar

9 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Selvakumar Sukumar United States 8 324 57 39 38 27 9 413
Stéphane Vandenabeele Australia 7 611 1.9× 59 1.0× 62 1.6× 29 0.8× 19 0.7× 8 714
Vivienne B. Gibson United Kingdom 8 304 0.9× 99 1.7× 20 0.5× 43 1.1× 41 1.5× 9 476
M F Geertsma Netherlands 11 235 0.7× 43 0.8× 40 1.0× 45 1.2× 33 1.2× 13 381
Saho Maruyama Japan 11 330 1.0× 115 2.0× 58 1.5× 35 0.9× 8 0.3× 18 454
Elisa Soprana Italy 11 222 0.7× 90 1.6× 33 0.8× 55 1.4× 13 0.5× 22 374
Nobutaka YASUDA Japan 7 250 0.8× 56 1.0× 20 0.5× 12 0.3× 17 0.6× 12 368
Dora Pinto Italy 10 264 0.8× 93 1.6× 57 1.5× 31 0.8× 8 0.3× 11 380
Brian Dizon United States 7 205 0.6× 80 1.4× 18 0.5× 45 1.2× 28 1.0× 14 309
Inge Waase Germany 8 242 0.7× 57 1.0× 53 1.4× 45 1.2× 50 1.9× 9 380
Joanne Banyer Australia 10 210 0.6× 72 1.3× 83 2.1× 20 0.5× 22 0.8× 13 414

Countries citing papers authored by Selvakumar Sukumar

Since Specialization
Citations

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

Fields of papers citing papers by Selvakumar Sukumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selvakumar Sukumar

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

All Works

9 of 9 papers shown
1.
Miselis, Nathan R., Douglas E. Linn, Clifford R. Restaino, et al.. (2017). Abstract 577: Antagonism of the co-inhibitory receptor BTLA enhances efficacy of anti-PD-1 treatment in murine syngeneic tumor models. Cancer Research. 77(13_Supplement). 577–577. 5 indexed citations
2.
Jain, Renu, Yi Chen, Yuka Kanno, et al.. (2015). Interleukin-23-Induced Transcription Factor Blimp-1 Promotes Pathogenicity of T Helper 17 Cells. Immunity. 44(1). 131–142. 126 indexed citations
3.
Shikh, Mohey Eldin El, et al.. (2010). Activation of B cells by antigens on follicular dendritic cells. Trends in Immunology. 31(6). 205–211. 76 indexed citations
4.
Sukumar, Selvakumar, Mohey Eldin El Shikh, John G. Tew, & Andras K. Szakal. (2008). Ultrastructural study of highly enriched follicular dendritic cells reveals their morphology and the periodicity of immune complex binding. Cell and Tissue Research. 332(1). 89–99. 14 indexed citations
5.
Wu, Yongzhong, Selvakumar Sukumar, Mohey Eldin El Shikh, et al.. (2008). Immune Complex-Bearing Follicular Dendritic Cells Deliver a Late Antigenic Signal That Promotes Somatic Hypermutation. The Journal of Immunology. 180(1). 281–290. 39 indexed citations
6.
Sukumar, Selvakumar, Daniel H. Conrad, Andras K. Szakal, & John G. Tew. (2006). Differential T Cell-Mediated Regulation of CD23 (FcεRII) in B Cells and Follicular Dendritic Cells. The Journal of Immunology. 176(8). 4811–4817. 27 indexed citations
7.
Sukumar, Selvakumar, Andras K. Szakal, & John G. Tew. (2006). Isolation of functionally active murine follicular dendritic cells. Journal of Immunological Methods. 313(1-2). 81–95. 31 indexed citations
8.
Aydar, Yüksel, Selvakumar Sukumar, Andras K. Szakal, & John G. Tew. (2005). The Influence of Immune Complex-Bearing Follicular Dendritic Cells on the IgM Response, Ig Class Switching, and Production of High Affinity IgG. The Journal of Immunology. 174(9). 5358–5366. 67 indexed citations
9.
Kikuchi, Takeshi, Deborah Willis, Selvakumar Sukumar, et al.. (2005). Dendritic-NK Cell Interactions in P. gingivalis-specific Responses. Journal of Dental Research. 84(9). 858–862. 28 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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