Kevin Hestir

1.0k total citations · 1 hit paper
8 papers, 788 citations indexed

About

Kevin Hestir is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kevin Hestir has authored 8 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Kevin Hestir's work include Fibroblast Growth Factor Research (5 papers), Epigenetics and DNA Methylation (2 papers) and Immune cells in cancer (2 papers). Kevin Hestir is often cited by papers focused on Fibroblast Growth Factor Research (5 papers), Epigenetics and DNA Methylation (2 papers) and Immune cells in cancer (2 papers). Kevin Hestir collaborates with scholars based in United States. Kevin Hestir's co-authors include Lewis T. Williams, Robert Halenbeck, Stephen K. Doberstein, Minmin Qin, Diane Hollenbaugh, Ernestine Lee, Elizabeth Bosch, Aileen J. Zhou, Cindy Leo and Haishan Lin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Kevin Hestir

8 papers receiving 775 citations

Hit Papers

Discovery of a Cytokine a... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Hestir United States 5 447 287 166 124 49 8 788
Cindy Leo United States 4 514 1.1× 270 0.9× 183 1.1× 132 1.1× 30 0.6× 6 833
S. Kapp United States 5 560 1.3× 334 1.2× 211 1.3× 162 1.3× 60 1.2× 7 907
Mahdia Benkhoucha Switzerland 18 657 1.5× 266 0.9× 191 1.2× 121 1.0× 66 1.3× 32 1.2k
Ming Cao Canada 12 186 0.4× 175 0.6× 131 0.8× 69 0.6× 25 0.5× 21 553
Kristina Duvefelt Sweden 13 508 1.1× 216 0.8× 156 0.9× 56 0.5× 43 0.9× 17 912
Robin Browaeys Belgium 5 439 1.0× 664 2.3× 203 1.2× 71 0.6× 149 3.0× 6 1.1k
Guy Mouchiroud France 16 300 0.7× 292 1.0× 133 0.8× 44 0.4× 41 0.8× 42 700
Steve Gendron Canada 9 255 0.6× 169 0.6× 121 0.7× 81 0.7× 59 1.2× 11 532
Tali Feferman Israel 18 387 0.9× 301 1.0× 210 1.3× 24 0.2× 68 1.4× 34 1.0k
Gillian A. Kingsbury United States 12 334 0.7× 163 0.6× 194 1.2× 77 0.6× 85 1.7× 19 708

Countries citing papers authored by Kevin Hestir

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Hestir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Hestir

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

All Works

8 of 8 papers shown
1.
Sharma, Khushboo, et al.. (2019). Abstract A033: Evaluation of FGFR2b in context of relevant biomarkers supports potential combination of anti-FGFR2b with anti-PD-(L)1 therapy in gastric cancer. Molecular Cancer Therapeutics. 18(12_Supplement). A033–A033. 3 indexed citations
2.
Carleton, Michael, Janine Powers, Penny Phillips, et al.. (2018). Pharmacodynamics (PD) and genomic profiling of pts treated with cabiralizumab (cabira) + nivolumab (NIVO) provide evidence of on-target tumor immune modulations and support future clinical applications.. Journal of Clinical Oncology. 36(15_suppl). 3020–3020. 11 indexed citations
3.
Bellovin, David I., Servando Palencia, Kevin Hestir, et al.. (2014). Abstract 5449: FP-1039/GSK3052230, an FGF ligand trap, enhances VEGF antagonist therapy in preclinical models of RCC and HCC. Cancer Research. 74(19_Supplement). 5449–5449. 1 indexed citations
4.
Zhang, Hongbing, Lily Pao, Aileen J. Zhou, et al.. (2014). Deorphanization of the human leukocyte tyrosine kinase (LTK) receptor by a signaling screen of the extracellular proteome. Proceedings of the National Academy of Sciences. 111(44). 15741–15745. 40 indexed citations
5.
Harding, Thomas C., Li Long, Servando Palencia, et al.. (2013). Blockade of Nonhormonal Fibroblast Growth Factors by FP-1039 Inhibits Growth of Multiple Types of Cancer. Science Translational Medicine. 5(178). 178ra39–178ra39. 104 indexed citations
6.
Lin, Haishan, Ernestine Lee, Kevin Hestir, et al.. (2008). Discovery of a Cytokine and Its Receptor by Functional Screening of the Extracellular Proteome. Science. 320(5877). 807–811. 615 indexed citations breakdown →
7.
Zhang, Hongbing, Kevin P. Baker, Ali Sadra, et al.. (2007). FP-1039 (FGFR1:Fc), a soluble FGFR1 receptor antagonist, inhibits tumor growth and angiogenesis. Molecular Cancer Therapeutics. 6. 11 indexed citations
8.
Lin, Haishan, Cindy Leo, May Ji, et al.. (2007). 87 Regulation of Myeloid Growth and Differentiation by a Novel Cytokine, Interleukin-34 (IL-34), via the CSF-1 Receptor. Cytokine. 39(1). 24–24. 3 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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