Matthew Cooper

8.2k total citations
216 papers, 4.8k citations indexed

About

Matthew Cooper is a scholar working on Transplantation, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthew Cooper has authored 216 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Transplantation, 107 papers in Surgery and 107 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthew Cooper's work include Renal Transplantation Outcomes and Treatments (116 papers), Organ Donation and Transplantation (98 papers) and Organ Transplantation Techniques and Outcomes (73 papers). Matthew Cooper is often cited by papers focused on Renal Transplantation Outcomes and Treatments (116 papers), Organ Donation and Transplantation (98 papers) and Organ Transplantation Techniques and Outcomes (73 papers). Matthew Cooper collaborates with scholars based in United States, Canada and Thailand. Matthew Cooper's co-authors include Robert A. Montgomery, Abdolreza Haririan, Daniel Warren, Karen E. King, Stephen T. Bartlett, Christopher E. Simpkins, John C. Laschinger, Dorry L. Segev, Frank C. Spencer and Joseph N. Cunningham and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Matthew Cooper

206 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Cooper United States	39	2.3k	2.1k	1.5k	1.1k	516	216	4.8k
David A. Goldfarb United States	43	2.1k 0.9×	2.8k 1.4×	1.8k 1.2×	2.0k 1.9×	593 1.1×	190	6.0k
James F. Burdick United States	36	2.0k 0.9×	2.1k 1.0×	1.1k 0.7×	1.1k 1.1×	374 0.7×	142	5.2k
Paolo Rigotti Italy	38	2.5k 1.1×	2.0k 0.9×	1.1k 0.7×	547 0.5×	515 1.0×	199	4.8k
Alan Wilkinson United States	38	2.9k 1.3×	2.5k 1.2×	786 0.5×	709 0.7×	494 1.0×	69	5.1k
John J. Friedewald United States	33	2.4k 1.0×	1.8k 0.8×	1.3k 0.9×	521 0.5×	720 1.4×	125	4.1k
David W. Gjertson United States	29	2.2k 1.0×	2.1k 1.0×	1.6k 1.0×	752 0.7×	502 1.0×	69	3.9k
Francesc Moreso Spain	34	2.8k 1.2×	1.9k 0.9×	825 0.5×	854 0.8×	1.4k 2.7×	176	4.6k
Daniel Serón Spain	43	3.6k 1.6×	2.2k 1.1×	947 0.6×	1.1k 1.0×	1.6k 3.1×	226	6.1k
Eugene J. Schweitzer United States	41	2.3k 1.0×	2.7k 1.3×	2.0k 1.3×	1.4k 1.3×	379 0.7×	105	5.0k
Stuart M. Flechner United States	43	3.5k 1.5×	2.8k 1.3×	1.6k 1.0×	1.2k 1.1×	559 1.1×	195	6.1k

Countries citing papers authored by Matthew Cooper

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Cooper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Cooper. A scholar is included among the top collaborators of Matthew Cooper 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 Matthew Cooper. Matthew Cooper 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

Leonberg‐Yoo, Amanda K., Robert R. Redfield, Ty B. Dunn, et al.. (2025). Strategic Innovations to Reduce Disincentives and Increase Living Kidney Donation. Kidney360. 7(2). 397–407. 1 indexed citations

Bromberg, Jonathan S., Daniel C. Brennan, David J. Taber, et al.. (2025). Donor-derived cell-free DNA significantly improves rejection yield in kidney transplant biopsies. American Journal of Transplantation. 25(12). 2529–2542.

Verbesey, Jennifer, Alvin G. Thomas, Amy D. Waterman, et al.. (2024). Unrecognized opportunities: The landscape of pediatric kidney‐paired donation in the United States. Pediatric Transplantation. 28(1). e14657–e14657. 1 indexed citations

Gordon, Elisa J., Jessica Gacki‐Smith, Debra Duquette, et al.. (2024). Development of a culturally targeted chatbot to inform living kidney donor candidates of African ancestry about APOL1 genetic testing: a mixed methods study. Journal of Community Genetics. 15(2). 205–216. 4 indexed citations

Thongprayoon, Charat, Pradeep Vaitla, Caroline C. Jadlowiec, et al.. (2023). Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering. SHILAP Revista de lepidopterología. 10(4). 25–25. 1 indexed citations

AlRyalat, Saif Aldeen, et al.. (2023). The Leading Transplantation Journals: A Trend Analysis, 2011–2021. SHILAP Revista de lepidopterología. 2023. 1–8. 1 indexed citations

Thongprayoon, Charat, Jing Miao, Caroline C. Jadlowiec, et al.. (2023). Differences between Very Highly Sensitized Kidney Transplant Recipients as Identified by Machine Learning Consensus Clustering. Medicina. 59(5). 977–977. 2 indexed citations

Garg, Neetika, Carrie Thiessen, Peter P. Reese, et al.. (2023). Temporal trends in kidney paired donation in the United States: 2006-2021 UNOS/OPTN database analysis. American Journal of Transplantation. 24(1). 46–56. 5 indexed citations

Thongprayoon, Charat, Supawit Tangpanithandee, Caroline C. Jadlowiec, et al.. (2023). Characteristics of Kidney Transplant Recipients with Prolonged Pre-Transplant Dialysis Duration as Identified by Machine Learning Consensus Clustering: Pathway to Personalized Care. Journal of Personalized Medicine. 13(8). 1273–1273. 1 indexed citations

10.

Thongprayoon, Charat, Jing Miao, Caroline C. Jadlowiec, et al.. (2023). Differences between Kidney Transplant Recipients from Deceased Donors with Diabetes Mellitus as Identified by Machine Learning Consensus Clustering. Journal of Personalized Medicine. 13(7). 1094–1094. 2 indexed citations

11.

Thongprayoon, Charat, Pradeep Vaitla, Caroline C. Jadlowiec, et al.. (2023). Differences between kidney retransplant recipients as identified by machine learning consensus clustering. Clinical Transplantation. 37(5). e14943–e14943. 2 indexed citations

12.

Jadlowiec, Caroline C., Benjamin Hippen, John S. Gill, et al.. (2023). Current opinions on DGF management practices: A survey of the United States and Canada. Clinical Transplantation. 37(5). e14949–e14949. 8 indexed citations

13.

Tangpanithandee, Supawit, Charat Thongprayoon, Caroline C. Jadlowiec, et al.. (2022). Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering. Medicina. 58(12). 1831–1831. 2 indexed citations

14.

Singh, Neeraj, Ruixin Li, Tarek Alhamad, et al.. (2022). Exacerbation of Racial Disparities in Living Donor Kidney Transplantation During the COVID-19 Pandemic. Kidney360. 3(6). 1089–1094. 9 indexed citations

15.

Thongprayoon, Charat, Yeshwanter Radhakrishnan, Caroline C. Jadlowiec, et al.. (2022). Characteristics of Kidney Recipients of High Kidney Donor Profile Index Kidneys as Identified by Machine Learning Consensus Clustering. Journal of Personalized Medicine. 12(12). 1992–1992. 3 indexed citations

16.

Doshi, Mona D., Neeraj Singh, Benjamin Hippen, et al.. (2021). Transplant Clinician Opinions on Use of Race in the Estimation of Glomerular Filtration Rate. Clinical Journal of the American Society of Nephrology. 16(10). 1552–1559. 13 indexed citations

17.

Parsons, Ronald F., Krista L. Lentine, Kenneth J. Woodside, et al.. (2021). Pancreas transplantation perceptions and practice: Results from a national US survey. Clinical Transplantation. 35(10). e14432–e14432. 9 indexed citations

18.

Rudow, Dianne LaPointe, Didier A. Mandelbrot, Rebecca Hays, et al.. (2020). Evaluation and care of international living kidney donor candidates: Strategies for addressing common considerations and challenges. Clinical Transplantation. 34(3). e13792–e13792. 10 indexed citations

19.

Cooper, Matthew, David B. Leeser, Stuart M. Flechner, et al.. (2020). Ensuring the need is met: A 50-year simulation study of the National Kidney Registry’s family voucher program. American Journal of Transplantation. 21(3). 1128–1137. 6 indexed citations

20.

Verbesey, Jennifer, Alvin G. Thomas, Jennifer L. Beaumont, et al.. (2020). Early graft losses in paired kidney exchange: Experience from 10 years of the National Kidney Registry. American Journal of Transplantation. 20(5). 1393–1401. 6 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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