Han‐Jung Kuo

12 total papers · 726 total citations
11 papers, 622 citations indexed

About

Han‐Jung Kuo is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Han‐Jung Kuo has authored 11 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Han‐Jung Kuo's work include Protease and Inhibitor Mechanisms (6 papers), Cell Adhesion Molecules Research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Han‐Jung Kuo is often cited by papers focused on Protease and Inhibitor Mechanisms (6 papers), Cell Adhesion Molecules Research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Han‐Jung Kuo collaborates with scholars based in United States and China. Han‐Jung Kuo's co-authors include R W Glanville, Douglas R. Keene, Lynn Y. Sakai, B. Kerry Maddox, Karlheinz Mann, Mon‐Li Chu, D. Conway, Te‐Cheng Pan, Rainer Deutzmann and Rupert Timpl and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Biochemistry.

In The Last Decade

Han‐Jung Kuo

9 papers receiving 615 citations

Author Peers

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

Author						Papers	Cites
Han‐Jung Kuo	308	258	190	184	162	11	622
Manfred Wiestner	182 0.6×	213 0.8×	211 1.1×	122 0.7×	200 1.2×	9	762
Jyrki Heino	235 0.8×	75 0.3×	241 1.3×	189 1.0×	128 0.8×	7	716
Timo Väisänen	241 0.8×	76 0.3×	245 1.3×	116 0.6×	153 0.9×	20	629
B C Adelmann	322 1.0×	58 0.2×	144 0.8×	155 0.8×	125 0.8×	19	653
L A Dickson	187 0.6×	377 1.5×	291 1.5×	112 0.6×	75 0.5×	10	648
Amanda Morgan	143 0.5×	508 2.0×	232 1.2×	254 1.4×	125 0.8×	8	767
Eddie Kohfeldt	349 1.1×	107 0.4×	370 1.9×	137 0.7×	291 1.8×	10	728
M. Byrne	129 0.4×	82 0.3×	150 0.8×	196 1.1×	71 0.4×	9	614
Dorothy A. Beacham	198 0.6×	91 0.4×	236 1.2×	91 0.5×	185 1.1×	14	683
Ian L. Freeman	314 1.0×	69 0.3×	254 1.3×	116 0.6×	222 1.4×	14	657

Countries citing papers authored by Han‐Jung Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Han‐Jung Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Jung Kuo. 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 Han‐Jung Kuo. The network helps show where Han‐Jung Kuo may publish in the future.

Co-authorship network of co-authors of Han‐Jung Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Han‐Jung Kuo. A scholar is included among the top collaborators of Han‐Jung Kuo 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 Han‐Jung Kuo. Han‐Jung Kuo 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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