John T. Chen

538 citations
32 papers · 361 indexed · h-index 10

Impact in

Papers in

John T. Chen

29 papers receiving 339 citations

Peers

John T. Chen
Comparison fields: 5 of 87
  • Statistics and Probability 100
  • Critical Care and Intensive Care Medicine 56
  • Internal Medicine 28
  • Biochemistry 40
  • Statistics, Probability and Uncertainty 35
Replace Bowine C. Michel with:
Bowine C. Michel Netherlands
Vincent Agboto United States
Janice Gill Australia
Kim Luijken Netherlands
Matthew Horsfall Australia
Mel Blumenthal United States
John G. Ferguson United States
Gunn B.B. Kristensen Denmark
Joel W. Novak United States
Pieter S. Stepaniak Netherlands
John T. Chen relative to Bowine C. Michel Netherlands Bowine C. Michel's profile →
Citations per field
00.5×10×15.5×
Bowine C. Michel · 1×
Citations per year

Countries citing papers authored by John T. Chen

Since Specialization
Citations

This map shows the geographic impact of John T. Chen'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 John T. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Chen more than expected).

Fields of papers citing papers by John T. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Chen. 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 John T. Chen. The network helps show where John T. Chen may publish in the future.

Co-authors

The 20 scholars most cited alongside John T. Chen, 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 John T. Chen Line = papers co-authored together John T. Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201760
2 201754
3 200444
4 201738
5 201932
6 200519
7 201218
8 200316
9 200712
10 200410
11 20188
12 20086
13 20086
14 20176
15 20146
16 20204
17 20093
18 20182
19 20202
20 20202

About John T. Chen

John T. Chen is a scholar working on Statistics and Probability, Management Science and Operations Research, Surgery, Critical Care and Intensive Care Medicine and Biochemistry, having authored 32 papers that have together received 361 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (8 papers), Statistical Methods in Clinical Trials (8 papers), Statistical Distribution Estimation and Applications (8 papers), Optimal Experimental Design Methods (7 papers), Statistical Methods and Inference (6 papers), Blood transfusion and management (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers) and Pediatric Pain Management Techniques (3 papers). The work is most often cited by research in Statistics and Probability (100 citations), Critical Care and Intensive Care Medicine (56 citations), Internal Medicine (28 citations), Biochemistry (40 citations) and Statistics, Probability and Uncertainty (35 citations). John T. Chen has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Roberta E. Redfern, Arjun K. Gupta, Michael G. Moront, E. Seneta, C. G. Troskie, Anthony J. Comerota, M. Eileen Walsh, Arjun K. Gupta, David L. Vogel and Sara Seegert. Their work appears in journals such as Journal of Statistical Computation and Simulation, Journal of ExtraCorporeal Technology, The Journal of Arthroplasty, The Annals of Thoracic Surgery and The Journal of Trauma: Injury, Infection, and Critical Care.

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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