Kaihong Liu

15 total papers · 703 total citations
14 papers, 556 citations indexed

About

Kaihong Liu is a scholar working on Molecular Biology, Artificial Intelligence and Physiology. According to data from OpenAlex, Kaihong Liu has authored 14 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Physiology. Recurrent topics in Kaihong Liu's work include Heat shock proteins research (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Semantic Web and Ontologies (3 papers). Kaihong Liu is often cited by papers focused on Heat shock proteins research (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Semantic Web and Ontologies (3 papers). Kaihong Liu collaborates with scholars based in United States and United Kingdom. Kaihong Liu's co-authors include Rebecca S. Crowley, Timothy R. Billiar, William R. Hogan, David Blumberg, Simon C. Watkins, Yoram Vodovotz, Zifa Wang, Sean Alber, René J. Duquesnoy and Mark L. Johnson and has published in prestigious journals such as Cancer Research, Infection and Immunity and Transplantation.

In The Last Decade

Kaihong Liu

13 papers receiving 529 citations

Author Peers

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

Author						Papers	Cites
Kaihong Liu	220	100	95	88	76	14	556
Kyu Jin Choi	327 1.5×	106 1.1×	65 0.7×	27 0.3×	66 0.9×	22	654
Tejal Patel	188 0.9×	141 1.4×	139 1.5×	58 0.7×	41 0.5×	15	566
Danshan Huang	241 1.1×	34 0.3×	158 1.7×	26 0.3×	76 1.0×	13	584
Rahul Dave	195 0.9×	55 0.6×	102 1.1×	80 0.9×	181 2.4×	14	698
Menglin Zhu	270 1.2×	93 0.9×	82 0.9×	22 0.3×	17 0.2×	28	578
Narumi Harada‐Shoji	268 1.2×	52 0.5×	139 1.5×	31 0.4×	24 0.3×	21	527
Geertruida N. Jonges	146 0.7×	22 0.2×	97 1.0×	24 0.3×	34 0.4×	20	506
Stéphane Camuzeaux	326 1.5×	24 0.2×	94 1.0×	30 0.3×	89 1.2×	30	630
Mikhail Korzinkin	303 1.4×	26 0.3×	86 0.9×	33 0.4×	56 0.7×	12	610
Michael N. Kent	109 0.5×	27 0.3×	36 0.4×	74 0.8×	62 0.8×	20	505

Countries citing papers authored by Kaihong Liu

Since Specialization

Citations

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

Fields of papers citing papers by Kaihong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaihong Liu

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