Y Hu

35 total papers · 615 total citations
12 papers, 501 citations indexed

About

Y Hu is a scholar working on Molecular Biology, Infectious Diseases and Computer Vision and Pattern Recognition. According to data from OpenAlex, Y Hu has authored 12 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Y Hu's work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Inflammatory mediators and NSAID effects (1 paper). Y Hu is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Inflammatory mediators and NSAID effects (1 paper). Y Hu collaborates with scholars based in United States, United Kingdom and China. Y Hu's co-authors include William P. Schilling, Mary K. Estes, Peifu Tian, J M Ball, Chi Zeng, Joseph J. Eiden, D. A. Lindsay, Monica M. Montano, Yong‐Qiu Doughman and Madhusudhana Gargesha and has published in prestigious journals such as Cancer Research, Oncogene and Journal of Virology.

In The Last Decade

Y Hu

11 papers receiving 487 citations

Author Peers

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

Author						Papers	Cites
Y Hu	226	203	89	85	80	12	501
Brigitte Herrmann	169 0.7×	181 0.9×	87 1.0×	164 1.9×	224 2.8×	17	502
Eric Zinn	64 0.3×	449 2.2×	71 0.8×	397 4.7×	40 0.5×	9	577
Akira Okitsu	117 0.5×	225 1.1×	161 1.8×	65 0.8×	19 0.2×	8	456
Guia Carrara	156 0.7×	171 0.8×	105 1.2×	102 1.2×	101 1.3×	12	460
Hui Jiang	71 0.3×	207 1.0×	27 0.3×	30 0.4×	16 0.2×	18	506
H J Hedrich	132 0.6×	85 0.4×	18 0.2×	126 1.5×	127 1.6×	15	568
Julia Fakhiri	59 0.3×	387 1.9×	31 0.3×	180 2.1×	22 0.3×	13	478
Yin‐Wan Wendy Fung	61 0.3×	272 1.3×	78 0.9×	42 0.5×	20 0.3×	19	486
Guang-Yun Cai	115 0.5×	125 0.6×	38 0.4×	51 0.6×	88 1.1×	14	499
Kiyoko Okamoto	88 0.4×	98 0.5×	18 0.2×	19 0.2×	23 0.3×	20	479

Countries citing papers authored by Y Hu

Since Specialization

Citations

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

Fields of papers citing papers by Y Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Hu

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