Dipak Patel

9.9k total citations
33 papers, 822 citations indexed

About

Dipak Patel is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Dipak Patel has authored 33 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 9 papers in Molecular Biology and 6 papers in Infectious Diseases. Recurrent topics in Dipak Patel's work include T-cell and B-cell Immunology (11 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and COVID-19 Clinical Research Studies (6 papers). Dipak Patel is often cited by papers focused on T-cell and B-cell Immunology (11 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and COVID-19 Clinical Research Studies (6 papers). Dipak Patel collaborates with scholars based in United States, United Kingdom and Germany. Dipak Patel's co-authors include Bruce C. Richardson, Faith M. Strickland, Anura Hewagama, Sri G. Yarlagadda, Bruce Richardson, Gabriela Gorelik, Cheong‐Hee Chang, Emily C. Somers, Tania Gonzalez‐Rivera and W. Joseph McCune and has published in prestigious journals such as Science, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Dipak Patel

29 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipak Patel United States 15 447 205 137 106 102 33 822
Marina Tuzova United States 15 407 0.9× 219 1.1× 112 0.8× 114 1.1× 50 0.5× 17 953
Lori Albert Canada 9 264 0.6× 214 1.0× 105 0.8× 47 0.4× 74 0.7× 11 636
Myew–Ling Toh France 18 541 1.2× 213 1.0× 245 1.8× 91 0.9× 48 0.5× 23 1.0k
Natalie A. Carter United Kingdom 8 720 1.6× 186 0.9× 102 0.7× 60 0.6× 76 0.7× 10 1.0k
Georges Abboud United States 19 761 1.7× 255 1.2× 133 1.0× 100 0.9× 121 1.2× 45 1.2k
Ingrid Faé Austria 19 396 0.9× 308 1.5× 37 0.3× 76 0.7× 161 1.6× 70 1.1k
A. Selma Dagtas United States 8 506 1.1× 119 0.6× 212 1.5× 28 0.3× 163 1.6× 8 803
Deniz Çağdaş Türkiye 18 569 1.3× 181 0.9× 43 0.3× 121 1.1× 261 2.6× 120 974
J.P. Revillard France 16 478 1.1× 239 1.2× 180 1.3× 61 0.6× 133 1.3× 30 1.1k
A D Levine United States 11 410 0.9× 167 0.8× 37 0.3× 65 0.6× 233 2.3× 19 856

Countries citing papers authored by Dipak Patel

Since Specialization
Citations

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

Fields of papers citing papers by Dipak Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipak Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Dipak Patel. A scholar is included among the top collaborators of Dipak Patel 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 Dipak Patel. Dipak Patel 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
1.
Köester, Anja, Derrick R. Witcher, Mark Lee, et al.. (2025). Ucenprubart is an agonistic antibody to CD200R with the potential to treat inflammatory skin disease: preclinical development and a phase 1 clinical study. Nature Communications. 16(1). 4082–4082. 1 indexed citations
2.
Forman, Seth, Dipak Patel, Alexa B. Kimball, et al.. (2025). A randomized, double-blind, placebo-controlled phase 2 study of eltrekibart, a novel septa-specific monoclonal antibody to CXCR1/2 ligands, in adults with hidradenitis suppurativa. Journal of the American Academy of Dermatology. 94(2). 530–538.
4.
Patel, Dipak, et al.. (2024). Selection for robust metabolism in domesticated yeasts is driven by adaptation to Hsp90 stress. Science. 385(6707). eadi3048–eadi3048. 5 indexed citations
5.
Patel, Dipak, Martin Böhm, Himanshu P. Upadhyaya, et al.. (2024). Efficacy and Safety of Low-Dose, Rapidly Infused Bamlanivimab and Etesevimab: Phase 3 BLAZE-1 Trial for Mild-to-Moderate COVID-19. Infectious Diseases and Therapy. 13(10). 2123–2134. 2 indexed citations
7.
Shawa, Imad, et al.. (2021). A Narrative Review of the Clinical Practicalities of Bamlanivimab and Etesevimab Antibody Therapies for SARS-CoV-2. Infectious Diseases and Therapy. 10(4). 1933–1947. 28 indexed citations
8.
Zhang, Lin, Michael Dougan, Peter Chen, et al.. (2021). Endogenous Antibody Responses to SARS-CoV-2 in Patients With Mild or Moderate COVID-19 Who Received Bamlanivimab Alone or Bamlanivimab and Etesevimab Together. Frontiers in Immunology. 12. 790469–790469. 14 indexed citations
9.
Patel, Dipak, Shweta Urva, Stephen Ho, et al.. (2020). Characterization of LY2775240, a selective phosphodiesterase‐4 inhibitor, in nonclinical models and in healthy subjects. Clinical and Translational Science. 14(3). 1037–1048. 2 indexed citations
10.
Reich, Kristian, Phoebe Rich, Catherine Maari, et al.. (2019). Efficacy and safety of mirikizumab ( LY 3074828) in the treatment of moderate‐to‐severe plaque psoriasis: results from a randomized phase II study. British Journal of Dermatology. 181(1). 88–95. 57 indexed citations
11.
Richardson, Bruce C. & Dipak Patel. (2014). DNA methylation and miRNA—key roles in systemic autoimmunity. Nature Reviews Rheumatology. 10(2). 72–74. 31 indexed citations
12.
Hewagama, Anura, Gabriela Gorelik, Dipak Patel, et al.. (2013). Overexpression of X-Linked genes in T cells from women with lupus. Journal of Autoimmunity. 41. 60–71. 156 indexed citations
13.
Patel, Dipak & Bruce C. Richardson. (2010). Epigenetic mechanisms in lupus. Current Opinion in Rheumatology. 22(5). 478–482. 42 indexed citations
14.
Hewagama, Anura, Dipak Patel, Sri G. Yarlagadda, Faith M. Strickland, & Bruce C. Richardson. (2009). Stronger inflammatory/cytotoxic T-cell response in women identified by microarray analysis. Genes and Immunity. 10(5). 509–516. 215 indexed citations
15.
Sehra, Sarita, Dipak Patel, Saritha Kusam, et al.. (2005). A Role for Caspases in Controlling IL-4 Expression in T Cells. The Journal of Immunology. 174(6). 3440–3446. 16 indexed citations
16.
Patel, Dipak, Wei Li, M. Hanief Sofi, et al.. (2005). Constitutive expression of CIITA directs CD4 T cells to produce Th2 cytokines in the thymus. Cellular Immunology. 233(1). 30–40. 19 indexed citations
17.
Gourley, Tania, Dipak Patel, Kevin M. Nickerson, Soon–Cheol Hong, & Cheong‐Hee Chang. (2002). Aberrant Expression of Fas Ligand in Mice Deficient for the MHC Class II Transactivator. The Journal of Immunology. 168(9). 4414–4419. 32 indexed citations
18.
Patel, Dipak & D. Rickwood. (1995). Optimization of conditions for specific binding of antibody-coated beads to cells. Journal of Immunological Methods. 184(1). 71–80. 9 indexed citations
19.
Patel, Dipak, Carlos P. Rubbi, & D. Rickwood. (1993). Use of density perturbation to isolate immunologically distinct populations of cells. Journal of Immunological Methods. 163(2). 241–251. 6 indexed citations
20.
Rubbi, Carlos P., Dipak Patel, & D. Rickwood. (1993). Evidence of surface antigen detachment during incubation of cells with immunomagnetic beads. Journal of Immunological Methods. 166(2). 233–241. 12 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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