Steven K. Cheng

22 total papers · 855 total citations
13 papers, 582 citations indexed

About

Steven K. Cheng is a scholar working on Public Health, Environmental and Occupational Health, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Steven K. Cheng has authored 13 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 8 papers in Economics and Econometrics and 4 papers in Statistics and Probability. Recurrent topics in Steven K. Cheng's work include Ethics in Clinical Research (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Statistical Methods in Clinical Trials (4 papers). Steven K. Cheng is often cited by papers focused on Ethics in Clinical Research (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Statistical Methods in Clinical Trials (4 papers). Steven K. Cheng collaborates with scholars based in United States and India. Steven K. Cheng's co-authors include David M. Dilts, Mary S. Dietrich, Eric Orwoll, Alan B. Sandler, Asba Tasneem, Kevin A. Schulman, Lori Lyn Price, Marshall M. Kaplan, Amy P. Abernethy and John Horton and has published in prestigious journals such as Journal of Clinical Oncology, Hepatology and Clinical Cancer Research.

In The Last Decade

Steven K. Cheng

13 papers receiving 568 citations

Author Peers

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

Author Last Decade Papers Cites
Steven K. Cheng 328 259 100 96 73 13 582
Asba Tasneem 226 0.7× 220 0.8× 71 0.7× 83 0.9× 184 2.5× 10 676
Andrae Vandross 86 0.3× 227 0.9× 19 0.2× 90 0.9× 48 0.7× 19 543
Elizabeth M. Garry 79 0.2× 150 0.6× 50 0.5× 128 1.3× 28 0.4× 31 603
Gurvaneet Randhawa 72 0.2× 91 0.4× 22 0.2× 27 0.3× 35 0.5× 28 597
Jacqueline Corrigan‐Curay 59 0.2× 147 0.6× 33 0.3× 104 1.1× 23 0.3× 13 611
Virginie Hivert 117 0.4× 116 0.4× 143 1.4× 18 0.2× 36 0.5× 17 616
George Quartey 71 0.2× 125 0.5× 66 0.7× 102 1.1× 18 0.2× 19 665
John F. Scoggins 117 0.4× 239 0.9× 22 0.2× 39 0.4× 55 0.8× 17 692
Hélène Chevrou‐Séverac 61 0.2× 373 1.4× 106 1.1× 43 0.4× 14 0.2× 28 685
Lukas G. Keil 188 0.6× 139 0.5× 34 0.3× 45 0.5× 255 3.5× 15 528

Countries citing papers authored by Steven K. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Steven K. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven K. 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 Steven K. Cheng. The network helps show where Steven K. Cheng may publish in the future.

Co-authorship network of co-authors of Steven K. Cheng

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