Su-Chun Cheng

23 total papers · 1.2k total citations
16 papers, 585 citations indexed

About

Su-Chun Cheng is a scholar working on Genetics, Epidemiology and Surgery. According to data from OpenAlex, Su-Chun Cheng has authored 16 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Su-Chun Cheng's work include Inflammatory Bowel Disease (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Genetic Associations and Epidemiology (2 papers). Su-Chun Cheng is often cited by papers focused on Inflammatory Bowel Disease (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Genetic Associations and Epidemiology (2 papers). Su-Chun Cheng collaborates with scholars based in United States, Egypt and Taiwan. Su-Chun Cheng's co-authors include Elizabeth W. Karlson, Stanley Y. Shaw, Tianxi Cai, Katherine P. Liao, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Peter Szolovits, Isaac S. Kohane, Shawn N. Murphy and Susanne Churchill and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Journal of the American Statistical Association.

In The Last Decade

Su-Chun Cheng

15 papers receiving 584 citations

Author Peers

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

Author						Papers	Cites
Su-Chun Cheng	226	225	122	112	95	16	585
W S Shand	147 0.7×	124 0.6×	33 0.3×	186 1.7×	137 1.4×	19	609
Mathieu Uzzan	214 0.9×	149 0.7×	61 0.5×	34 0.3×	52 0.5×	32	540
Sharon Abish	141 0.6×	57 0.3×	85 0.7×	47 0.4×	123 1.3×	23	536
J R Pincott	226 1.0×	115 0.5×	83 0.7×	22 0.2×	27 0.3×	16	539
John Hogan	88 0.4×	64 0.3×	63 0.5×	40 0.4×	142 1.5×	26	509
M C Anglade	67 0.3×	120 0.5×	40 0.3×	60 0.5×	76 0.8×	17	638
Rudolf‐Josef Fischer	144 0.6×	64 0.3×	53 0.4×	73 0.7×	64 0.7×	15	535
E. Boesen	79 0.3×	101 0.4×	57 0.5×	55 0.5×	153 1.6×	16	534
Joost T. Heikens	145 0.6×	123 0.5×	82 0.7×	59 0.5×	282 3.0×	24	626
Michael Sorell	63 0.3×	163 0.7×	81 0.7×	82 0.7×	104 1.1×	12	598

Countries citing papers authored by Su-Chun Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Su-Chun Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Chun Cheng. 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 Su-Chun Cheng. The network helps show where Su-Chun Cheng may publish in the future.

Co-authorship network of co-authors of Su-Chun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Su-Chun Cheng. A scholar is included among the top collaborators of Su-Chun Cheng 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 Su-Chun Cheng. Su-Chun Cheng 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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