Sumesh Kaushal

492 total citations
9 papers, 411 citations indexed

About

Sumesh Kaushal is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Sumesh Kaushal has authored 9 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Virology and 3 papers in Epidemiology. Recurrent topics in Sumesh Kaushal's work include HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Sumesh Kaushal is often cited by papers focused on HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Sumesh Kaushal collaborates with scholars based in United States. Sumesh Kaushal's co-authors include Daniel C. St. Louis, Carl H. June, Bruce L. Levine, James L. Riley, O. S. Weislow, Richard G. Carroll, Yu Feng, Charles R. Brown, Edward A. Berger and Patrick J. Blair and has published in prestigious journals such as Science, The Journal of Immunology and Trends in Microbiology.

In The Last Decade

Sumesh Kaushal

8 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sumesh Kaushal United States	6	280	173	93	66	58	9	411
Matija Peterlin United States	8	321 1.1×	115 0.7×	136 1.5×	97 1.5×	52 0.9×	8	497
I. AXBERG Sweden	10	316 1.1×	101 0.6×	68 0.7×	52 0.8×	45 0.8×	16	442
Erica Giuliani Italy	12	159 0.6×	139 0.8×	125 1.3×	50 0.8×	54 0.9×	26	339
Margaret Ruiz United States	6	305 1.1×	263 1.5×	44 0.5×	58 0.9×	58 1.0×	9	378
Takayuki Nakarai France	6	443 1.6×	63 0.4×	57 0.6×	171 2.6×	49 0.8×	12	553
Karine Duperrier France	8	305 1.1×	41 0.2×	118 1.3×	39 0.6×	37 0.6×	10	432
Elisa Soprana Italy	11	222 0.8×	43 0.2×	90 1.0×	33 0.5×	66 1.1×	22	374
N Chirmule United States	8	293 1.0×	315 1.8×	102 1.1×	26 0.4×	90 1.6×	8	443
J M Zarling United States	13	444 1.6×	114 0.7×	78 0.8×	96 1.5×	102 1.8×	14	566
O Weinberger United States	12	284 1.0×	71 0.4×	132 1.4×	40 0.6×	37 0.6×	16	414

Countries citing papers authored by Sumesh Kaushal

Since Specialization

Citations

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

Fields of papers citing papers by Sumesh Kaushal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumesh Kaushal

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

All Works

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9 of 9 papers shown

1.

Louis, Daniel C. St., Juliana B. Woodcock, Patrick J. Blair, et al.. (2004). Evidence for Distinct Intracellular Signaling Pathways in CD34+ Progenitor to Dendritic Cell Differentiation from a Human Cell Line Model. The Journal of Immunology. 173(10). 6490–6490. 67 indexed citations

2.

Kaushal, Sumesh. (2003). Telomeric Terminal Restriction Fragment (TRF). Humana Press eBooks. 17. 237–242.

3.

Chute, John P., William Clark, D St Louis, et al.. (2000). Preincubation with Endothelial Cell Monolayers Increases Gene Transfer Efficiency into Human Bone Marrow CD34 ⁺ CD38 ^- Progenitor Cells. Human Gene Therapy. 11(18). 2515–2528. 8 indexed citations

4.

Kaushal, Sumesh, Alan Landay, Michael M. Lederman, et al.. (1999). Increases in T Cell Telomere Length in HIV Infection after Antiretroviral Combination Therapy for HIV-1 Infection Implicate Distinct Population Dynamics in CD4+ and CD8+ T Cells. Clinical Immunology. 92(1). 14–24. 29 indexed citations

5.

Louis, Daniel C. St., Juliana B. Woodcock, Patrick J. Blair, et al.. (1999). Evidence for Distinct Intracellular Signaling Pathways in CD34+ Progenitor to Dendritic Cell Differentiation from a Human Cell Line Model. The Journal of Immunology. 162(6). 3237–3248. 83 indexed citations

6.

Carroll, Richard G., James L. Riley, Bruce L. Levine, et al.. (1997). Response from Carroll et al.. Trends in Microbiology. 5(8). 302–303. 2 indexed citations

7.

Carroll, Richard G., James L. Riley, Bruce L. Levine, et al.. (1997). Differential Regulation of HIV-1 Fusion Cofactor Expression by CD28 Costimulation of CD4 ⁺ T Cells. Science. 276(5310). 273–276. 178 indexed citations

8.

Mosca, Joseph D., Sumesh Kaushal, Suzanne Gartner, et al.. (1995). Characterization of a human stromal cell line supporting hematopoietic progenitor cell proliferation: Effect of HIV expression. Journal of Biomedical Science. 2(4). 330–342. 5 indexed citations

9.

Escaich, Sonia, et al.. (1995). RevM10-Mediated Inhibition of HIV-1 Replication in Chronically Infected T Cells. Human Gene Therapy. 6(5). 625–634. 39 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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