Harsh Bahrar

453 total citations
9 papers, 213 citations indexed

About

Harsh Bahrar is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Harsh Bahrar has authored 9 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Harsh Bahrar's work include HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Diabetes and associated disorders (2 papers). Harsh Bahrar is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Diabetes and associated disorders (2 papers). Harsh Bahrar collaborates with scholars based in Netherlands, United States and Germany. Harsh Bahrar's co-authors include Deric L. Wheeler, John P. Coan, Ravi Salgia, Toni M. Brand, Mari Iida, Randall J. Kimple, Rinke Stienstra, Mihai G. Netea, Siroon Bekkering and Niels P. Riksen and has published in prestigious journals such as Clinical Cancer Research, International Journal of Obesity and Cardiovascular Research.

In The Last Decade

Harsh Bahrar

8 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harsh Bahrar Netherlands	6	109	93	71	42	29	9	213
Benjamin Y. Lu United States	7	151 1.4×	69 0.7×	41 0.6×	80 1.9×	11 0.4×	15	216
Annie Borch Denmark	6	104 1.0×	113 1.2×	86 1.2×	21 0.5×	43 1.5×	9	243
James J. Saller United States	8	142 1.3×	47 0.5×	119 1.7×	75 1.8×	33 1.1×	25	275
Kristin Fino United States	8	98 0.9×	96 1.0×	47 0.7×	35 0.8×	6 0.2×	16	215
Christopher Paluch United Kingdom	4	81 0.7×	133 1.4×	57 0.8×	13 0.3×	16 0.6×	5	203
Fumiaki Shiratori Japan	10	98 0.9×	56 0.6×	79 1.1×	56 1.3×	40 1.4×	35	223
Michael W. Knitz United States	7	111 1.0×	86 0.9×	39 0.5×	36 0.9×	21 0.7×	14	193
Yusuke Shinchi Japan	10	141 1.3×	112 1.2×	81 1.1×	84 2.0×	6 0.2×	16	269
Lisa Bruns Germany	6	63 0.6×	167 1.8×	64 0.9×	21 0.5×	38 1.3×	8	300
Debasis Chakrabarti United States	7	85 0.8×	90 1.0×	55 0.8×	68 1.6×	107 3.7×	15	279

Countries citing papers authored by Harsh Bahrar

Since Specialization

Citations

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

Fields of papers citing papers by Harsh Bahrar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harsh Bahrar

This figure shows the co-authorship network connecting the top 25 collaborators of Harsh Bahrar. A scholar is included among the top collaborators of Harsh Bahrar 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 Harsh Bahrar. Harsh Bahrar 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

Ulas, Thomas, Nico Reusch, Harsh Bahrar, et al.. (2025). Human γδ T Cell Function Is Impaired Upon Mevalonate Pathway Inhibition. Immunology. 175(3). 300–322.

Bahrar, Harsh, Tjerk S.J. Opstal, Nils Rother, et al.. (2024). The Effect of Low‐Dose Colchicine on the Phenotype and Function of Neutrophils and Monocytes in Patients with Chronic Coronary Artery Disease: A Double‐Blind Randomized Placebo‐Controlled Cross‐Over Study. Clinical Pharmacology & Therapeutics. 116(5). 1325–1333. 6 indexed citations

Tuijl, Julia van, Harsh Bahrar, Martin Giera, et al.. (2024). Single high-fat challenge and trained innate immunity: A randomized controlled cross-over trial. iScience. 27(11). 111103–111103. 3 indexed citations

Bahrar, Harsh, Siroon Bekkering, Rinke Stienstra, Mihai G. Netea, & Niels P. Riksen. (2023). Innate immune memory in cardiometabolic disease. Cardiovascular Research. 119(18). 2774–2786. 25 indexed citations

Munckhof, Inge van den, Harsh Bahrar, Kiki Schraa, et al.. (2023). Sex-specific association of visceral and subcutaneous adipose tissue volumes with systemic inflammation and innate immune cells in people living with obesity. International Journal of Obesity. 48(4). 523–532. 7 indexed citations

Iida, Mari, Harsh Bahrar, Toni M. Brand, et al.. (2016). Targeting the HER Family with Pan-HER Effectively Overcomes Resistance to Cetuximab. Molecular Cancer Therapeutics. 15(9). 2175–2186. 33 indexed citations

Iida, Mari, Harsh Bahrar, Toni M. Brand, et al.. (2016). Targeting the HER family with Pan-HER effectively overcomes resistance to cetuximab. European Journal of Cancer. 69. S73–S73. 1 indexed citations

Brand, Toni M., Mari Iida, Andrew P. Stein, et al.. (2015). AXL Is a Logical Molecular Target in Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 21(11). 2601–2612. 89 indexed citations

Iida, Mari, Toni M. Brand, Megan M. Starr, et al.. (2014). Overcoming acquired resistance to cetuximab by dual targeting HER family receptors with antibody-based therapy. Molecular Cancer. 13(1). 242–242. 49 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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