Kin Man Suen

39 total papers · 875 total citations
21 papers, 581 citations indexed

About

Kin Man Suen is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Kin Man Suen has authored 21 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Kin Man Suen's work include Fibroblast Growth Factor Research (6 papers), RNA Research and Splicing (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Kin Man Suen is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), RNA Research and Splicing (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Kin Man Suen collaborates with scholars based in United Kingdom, United States and Australia. Kin Man Suen's co-authors include John E. Ladbury, Chi‐Chuan Lin, Zamal Ahmed, Fernando A. Melo, Stefan T. Arold, Klaus Suhling, James A. Levitt, John Kirkpatrick, Loren Stagg and Łukasz Wieteska and has published in prestigious journals such as Cell, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Kin Man Suen

20 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
Kin Man Suen	483	87	77	73	47	21	581
Tirtha K. Das	401 0.8×	162 1.9×	120 1.6×	66 0.9×	70 1.5×	16	609
Xianglei Yin	463 1.0×	99 1.1×	65 0.8×	37 0.5×	47 1.0×	13	641
Michael Pargett	478 1.0×	109 1.3×	66 0.9×	48 0.7×	68 1.4×	27	644
Seung‐Keun Hong	468 1.0×	101 1.2×	107 1.4×	69 0.9×	39 0.8×	28	600
Danislav S. Spassov	447 0.9×	66 0.8×	110 1.4×	65 0.9×	93 2.0×	22	653
С. Г. Зубова	376 0.8×	53 0.6×	94 1.2×	66 0.9×	55 1.2×	20	617
Junzhi Zhou	365 0.8×	68 0.8×	141 1.8×	73 1.0×	62 1.3×	19	574
R. Brachmann	512 1.1×	72 0.8×	152 2.0×	41 0.6×	17 0.4×	17	607
Jesse C. Patterson	491 1.0×	101 1.2×	55 0.7×	53 0.7×	35 0.7×	16	577
Marieke Willemse	391 0.8×	67 0.8×	73 0.9×	97 1.3×	56 1.2×	20	583

Countries citing papers authored by Kin Man Suen

Since Specialization

Citations

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

Fields of papers citing papers by Kin Man Suen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin Man Suen. 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 Kin Man Suen. The network helps show where Kin Man Suen may publish in the future.

Co-authorship network of co-authors of Kin Man Suen

This figure shows the co-authorship network connecting the top 25 collaborators of Kin Man Suen. A scholar is included among the top collaborators of Kin Man Suen 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 Kin Man Suen. Kin Man Suen 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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