John T. Chen

538 total citations
32 papers, 361 citations indexed

About

John T. Chen is a scholar working on Statistics and Probability, Management Science and Operations Research and Surgery. According to data from OpenAlex, John T. Chen has authored 32 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 5 papers in Surgery. Recurrent topics in John T. Chen's work include Statistical Methods and Bayesian Inference (8 papers), Statistical Distribution Estimation and Applications (8 papers) and Statistical Methods in Clinical Trials (8 papers). John T. Chen is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Statistical Distribution Estimation and Applications (8 papers) and Statistical Methods in Clinical Trials (8 papers). John T. Chen collaborates with scholars based in United States, Taiwan and Australia. John T. Chen's co-authors include Roberta E. Redfern, Arjun K. Gupta, Michael G. Moront, E. Seneta, Anthony J. Comerota, David L. Vogel, M. Eileen Walsh, C. G. Troskie, Arjun K. Gupta and Sara Seegert and has published in prestigious journals such as Biometrics, The Annals of Thoracic Surgery and Journal of Vascular Surgery.

In The Last Decade

John T. Chen

29 papers receiving 339 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John T. Chen United States	10	113	100	57	56	44	32	361
Bowine C. Michel Netherlands	9	41 0.4×	23 0.2×	17 0.3×	37 0.7×	3 0.1×	13	331
Vincent Agboto United States	9	25 0.2×	24 0.2×	21 0.4×	53 0.9×	7 0.2×	15	370
Kim Luijken Netherlands	9	31 0.3×	65 0.7×	47 0.8×	7 0.1×	5 0.1×	26	323
Joel W. Novak United States	12	71 0.6×	63 0.6×	12 0.2×	4 0.1×	5 0.1×	14	399
Janice Gill Australia	13	49 0.4×	38 0.4×	14 0.2×	4 0.1×	1 0.0×	20	442
Lukas G. Keil United States	9	95 0.8×	45 0.5×	23 0.4×	11 0.2×	3 0.1×	15	533
Vincent L. Hoellerich United States	6	52 0.5×	8 0.1×	28 0.5×	37 0.7×	4 0.1×	8	434
Pieter S. Stepaniak Netherlands	12	358 3.2×	6 0.1×	5 0.1×	13 0.2×	21 0.5×	24	617
Gunn B.B. Kristensen Denmark	11	76 0.7×	28 0.3×	10 0.2×	8 0.1×	1 0.0×	13	500
KGM Moons Netherlands	4	13 0.1×	14 0.1×	39 0.7×	16 0.3×	6 0.1×	5	243

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-authorship network of co-authors of John T. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Chen. A scholar is included among the top collaborators of John T. Chen 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 John T. Chen. John T. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ghoshal, Amit & John T. Chen. (2025). Cochran–Mantel–Haeszel stratified-adjusted test for multiple odds ratios. Statistics & Probability Letters. 226. 110464–110464.

Ma, Yehan, Arthur B. Yeh, & John T. Chen. (2023). Simultaneous Confidence Regions and Weighted Hypotheses on Parameter Arrays. Methodology And Computing In Applied Probability. 25(2). 1 indexed citations

Georgiadis, Gregory M., et al.. (2021). Does The Use of Ethyl Chloride Improve Patient-Reported Pain Scores With Negative Pressure Wound Therapy Dressing Changes? A Prospective, Randomized Controlled Trial. The Journal of Trauma: Injury, Infection, and Critical Care. 90(6). 1061–1066. 1 indexed citations

Redfern, Roberta E., et al.. (2020). Retrospective Analysis of Thromboelastography-Directed Transfusion in Isolated CABG: Impact on Blood Product Use, Cost, and Outcomes. Journal of ExtraCorporeal Technology. 52(2). 103–111. 4 indexed citations

Yang, Yu, John T. Chen, & Arthur B. Yeh. (2020). Weighted step-down confidence procedures with applications to gene expression data. Communication in Statistics- Theory and Methods. 51(8). 2343–2356. 2 indexed citations

Redfern, Roberta E., et al.. (2020). Retrospective Analysis of Thromboelastography-Directed Transfusion in Isolated CABG: Impact on Blood Product Use, Cost, and Outcomes.. PubMed. 52(2). 103–111. 2 indexed citations

Redfern, Roberta E., et al.. (2019). Thromboelastography-Directed Transfusion in Cardiac Surgery: Impact on Postoperative Outcomes. The Annals of Thoracic Surgery. 107(5). 1313–1318. 32 indexed citations

Redfern, Roberta E., et al.. (2018). Influencing Vaccinations: A Buzzy Approach to Ease the Discomfort of a Needle Stick—a Prospective, Randomized Controlled Trial. Pain Management Nursing. 20(2). 164–169. 8 indexed citations

Redfern, Roberta E., et al.. (2018). Effects of Thermomechanical Stimulation During Intravenous Catheter Insertion in Adults. Journal of Infusion Nursing. 41(5). 294–300. 2 indexed citations

10.

Redfern, Roberta E., et al.. (2017). Closed Incision Negative Pressure Therapy Effects on Postoperative Infection and Surgical Site Complication After Total Hip and Knee Arthroplasty. The Journal of Arthroplasty. 32(11). 3333–3339. 60 indexed citations

11.

Zhang, Yuan‐Ting, et al.. (2017). How Do Consumers Use Nutrition Labels on Food Products in the United States?. Topics in Clinical Nutrition. 32(2). 161–171. 6 indexed citations

12.

Chen, John T., et al.. (2016). Simultaneous confidence bands for restricted logistic regression models. Journal of Applied Statistics. 44(11). 2036–2051. 1 indexed citations

13.

Lin, Yong, et al.. (2016). Simultaneous inference for treatment regimes. Communication in Statistics- Theory and Methods. 46(19). 9679–9690. 1 indexed citations

14.

Vogel, David L., M. Eileen Walsh, John T. Chen, & Anthony J. Comerota. (2012). Comparison of vein valve function following pharmacomechanical thrombolysis versus simple catheter-directed thrombolysis for iliofemoral deep vein thrombosis. Journal of Vascular Surgery. 56(5). 1351–1354. 18 indexed citations

15.

Chen, John T.. (2010). A New Skew-normal Model for the Application-oriented Skew-t Model. European Journal of Pure and Applied Mathematics. 3(3). 531–540.

16.

Chen, John T.. (2008). Inference on the Minimum Effective Dose Using Binary Data. Communication in Statistics- Theory and Methods. 37(13). 2124–2135. 6 indexed citations

17.

Chen, John T.. (2008). A Two‐Stage Stepwise Estimation Procedure. Biometrics. 64(2). 406–412. 6 indexed citations

18.

Chen, John T. & Arjun K. Gupta. (2005). Matrix variate skew normal distributions. Statistics. 39(3). 247–253. 19 indexed citations

19.

Gupta, Arjun K. & John T. Chen. (2004). A class of multivariate skew-normal models. Annals of the Institute of Statistical Mathematics. 56(2). 305–315. 44 indexed citations

20.

Chen, John T., Arjun K. Gupta, & C. G. Troskie. (2003). The Distribution of Stock Returns When the Market Is Up. Communication in Statistics- Theory and Methods. 32(8). 1541–1558. 16 indexed citations

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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