Kevin Hu

40 total papers · 402 total citations
10 papers, 99 citations indexed

About

Kevin Hu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Kevin Hu has authored 10 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Kevin Hu's work include Prostate Cancer Treatment and Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Prostate Cancer Diagnosis and Treatment (1 paper). Kevin Hu is often cited by papers focused on Prostate Cancer Treatment and Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Prostate Cancer Diagnosis and Treatment (1 paper). Kevin Hu collaborates with scholars based in United States, Poland and Austria. Kevin Hu's co-authors include Andrzej A. Dlugosz, Monique Verhaegen, Scott A. Tomlins, Paul W. Harms, Aaron M. Udager, Chia-Jen Liu, Daniel H. Hovelson, May P. Chan, Rajiv M. Patel and Marina Grachtchouk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Development and Clinical Cancer Research.

In The Last Decade

Kevin Hu

9 papers receiving 99 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kevin Hu	40	39	30	30	18	10	99
Lu Wang	89 2.2×	88 2.3×	68 2.3×	99 3.3×	4 0.2×	15	231
Carolin Bender	170 4.3×	29 0.7×	9 0.3×	78 2.6×	12 0.7×	10	253
Patrick Schummer	56 1.4×	6 0.2×	10 0.3×	39 1.3×	17 0.9×	14	87
Monica Dinulescu	51 1.3×	12 0.3×	4 0.1×	32 1.1×	11 0.6×	12	90
M. Di Katie Sebastiano	26 0.7×	6 0.2×	61 2.0×	81 2.7×	5 0.3×	9	121
Sarah Farooq	64 1.6×	25 0.6×	7 0.2×	19 0.6×	3 0.2×	10	84
Morena d’Avenia	71 1.8×	40 1.0×	53 1.8×	136 4.5×	4 0.2×	10	219
Anita Collavoli	21 0.5×	20 0.5×	25 0.8×	155 5.2×	5 0.3×	14	252
Menglan Xiang	72 1.8×	38 1.0×	19 0.6×	127 4.2×	7 0.4×	9	239
Siming Zhao	39 1.0×	88 2.3×	68 2.3×	142 4.7×	8 0.4×	11	222

Countries citing papers authored by Kevin Hu

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Hu

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

All Works

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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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