Steven K. Cheng
- Public Health, Environmental and Occupational Health top 5%
- Economics and Econometrics top 5%
- Physiology
- Statistics and Probability top 5%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- David M. DiltsMary S. DietrichEric OrwollAlan B. SandlerAsba TasneemKevin A. SchulmanJohn HortonAmy P. Abernethy
- Topics
- Ethics in Clinical Research (8 papers)Health Systems, Economic Evaluations, Quality of Life (8 papers)Statistical Methods in Clinical Trials (4 papers)
- Cited by
- Statistics and ProbabilityPublic Health, Environmental and Occupational HealthStatistics, Probability and Uncertainty
- Partner nations
- United StatesIndia
In The Last Decade
Steven K. Cheng
13 papers receiving 572 citations
Peers
Comparison fields: 5 of 74
- Public Health, Environmental and Occupational Health 331
- Economics and Econometrics 259
- Physiology 100
- Statistics and Probability 96
- Statistics, Probability and Uncertainty 74
Countries citing papers authored by Steven K. Cheng
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 129 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | The Washington manual nephrology subspecialty consult | 2 |
| 5 | 1 | |
| 6 | 89 | |
| 7 | 37 | |
| 8 | 88 | |
| 9 | 45 | |
| 10 | 49 | |
| 11 | 38 | |
| 12 | 52 | |
| 13 | 54 |
About Steven K. Cheng
Steven K. Cheng is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 13 papers that have together received 586 indexed citations. Recurring topics across this 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). The work is most often cited by research in Statistics and Probability (96 citations), Public Health, Environmental and Occupational Health (331 citations) and Statistics, Probability and Uncertainty (74 citations). Steven K. Cheng has collaborated with scholars based in United States and India. Frequent co-authors include David M. Dilts, Mary S. Dietrich, Eric Orwoll, Alan B. Sandler, Asba Tasneem, Kevin A. Schulman, John Horton, Amy P. Abernethy, Marshall M. Kaplan and Bradford R. Hirsch. Their work appears in journals such as Journal of Clinical Oncology, Hepatology and Clinical Cancer Research.
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.