Yu Cheng

5.8k citations
195 papers · 3.8k indexed · h-index 36

Impact in

Papers in

Yu Cheng

185 papers receiving 3.7k citations

Peers

Yu Cheng
Comparison fields: 5 of 159
  • Hepatology 732
  • Parasitology 495
  • Pharmacy 223
  • Public Health, Environmental and Occupational Health 886
  • Clinical Psychology 615
Replace Jan Wohlfahrt with:
Jan Wohlfahrt Denmark
Nancy A. Hessol United States
Stuart E. Siegel United States
David Huang United States
Henrik Ullum Denmark
Katie L. Flanagan Australia
Geeta K. Swamy United States
Barbara R. Visscher United States
Martin Schlaud Germany
Ronald Penny Australia
Yu Cheng relative to Jan Wohlfahrt Denmark Jan Wohlfahrt's profile →
Citations per field
00.5×5.0×
Jan Wohlfahrt · 1×
Citations per year

Countries citing papers authored by Yu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu Cheng Line = papers co-authored together Yu Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20234
5 20238
6 20230
7 20222
8 20221
9 20211
10 20213
11 20201
12 20201
13 20193
14 20185
15 20166
16
Quantile Regression for Doubly Censored Data
20122
17 199836
18 199820
19 19983
20 199749

About Yu Cheng

Yu Cheng is a scholar working on Hepatology, Statistics and Probability, Pharmacy, Public Health, Environmental and Occupational Health and Parasitology, having authored 195 papers that have together received 3.8k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (44 papers), Liver Disease and Transplantation (42 papers), Statistical Methods and Inference (21 papers), Obesity, Physical Activity, Diet (19 papers), Liver Disease Diagnosis and Treatment (17 papers), Smoking Behavior and Cessation (16 papers), Statistical Methods and Bayesian Inference (13 papers) and Organ Donation and Transplantation (12 papers). The work is most often cited by research in Hepatology (732 citations), Parasitology (495 citations), Pharmacy (223 citations), Public Health, Environmental and Occupational Health (886 citations) and Clinical Psychology (615 citations). Yu Cheng has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Michele D. Levine, Marsha D. Marcus, Melissa A. Kalarchian, Maria M. Picken, Roger N. Picken, Patricia R. Houck, Tung Liang Huang, Chao Long Chen, Holly A. Swartz and Bruno Jawan. Their work appears in journals such as Biometrics, Clinical Transplantation, Nicotine & Tobacco Research, Transplantation and Transplantation Proceedings.

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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