T. Leighton

586 total citations
12 papers, 432 citations indexed

About

T. Leighton is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Transplantation. According to data from OpenAlex, T. Leighton has authored 12 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Transplantation. Recurrent topics in T. Leighton's work include Organ Transplantation Techniques and Outcomes (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Organ Donation and Transplantation (4 papers). T. Leighton is often cited by papers focused on Organ Transplantation Techniques and Outcomes (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Organ Donation and Transplantation (4 papers). T. Leighton collaborates with scholars based in United States, United Kingdom and Switzerland. T. Leighton's co-authors include Ajay K. Israni, Bertram L. Kasiske, Jon J. Snyder, David Zaun, M.A. Skeans, Shu‐Cheng Chen, Nicholas Salkowski, Eric K.H. Chow, C. Wickliffe and Sommer E. Gentry and has published in prestigious journals such as The Lancet Infectious Diseases, Transplantation and Vaccine.

In The Last Decade

T. Leighton

12 papers receiving 428 citations

Peers

T. Leighton
Randall L. Webb United States
Diane Brockmeier United States
Joshua Shaw United States
Juan P. Rocca United States
Evelyn Hsu United States
Els M. Ten Vergert Netherlands
Gregory Malat United States
Randall L. Webb United States
T. Leighton
Citations per year, relative to T. Leighton T. Leighton (= 1×) peers Randall L. Webb

Countries citing papers authored by T. Leighton

Since Specialization
Citations

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

Fields of papers citing papers by T. Leighton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Leighton

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

All Works

12 of 12 papers shown
1.
Ostrowsky, Julie, Leah C. Katzelnick, Nigel Bourne, et al.. (2025). Zika virus vaccines and monoclonal antibodies: a priority agenda for research and development. The Lancet Infectious Diseases. 25(7). e402–e415. 5 indexed citations
2.
Moore, Penny L., T. Leighton, Julie Ostrowsky, et al.. (2023). A research and development (R&D) roadmap for broadly protective coronavirus vaccines: A pandemic preparedness strategy. Vaccine. 41(13). 2101–2112. 18 indexed citations
3.
Snyder, Jon J., Nicholas Salkowski, David Zaun, et al.. (2014). New Quality Monitoring Tools Provided by the Scientific Registry of Transplant Recipients: CUSUM. American Journal of Transplantation. 14(3). 515–523. 27 indexed citations
4.
Gentry, Sommer E., Eric K.H. Chow, C. Wickliffe, et al.. (2014). Impact of Broader Sharing on the Transport Time for Deceased Donor Livers. Liver Transplantation. 20(10). 1237–1243. 31 indexed citations
5.
Salkowski, Nicholas, Jon J. Snyder, David Zaun, et al.. (2014). Bayesian Methods for Assessing Transplant Program Performance. American Journal of Transplantation. 14(6). 1271–1276. 33 indexed citations
6.
Salkowski, Nicholas, Jon J. Snyder, David Zaun, et al.. (2014). A Scientific Registry of Transplant Recipients Bayesian Method for Identifying Underperforming Transplant Programs. American Journal of Transplantation. 14(6). 1310–1317. 25 indexed citations
7.
Leighton, T., S.K. Gustafson, Jon J. Snyder, Ajay K. Israni, & B.L. Kasiske. (2014). Changes in Medicare Coverage After Kidney Transplant.. Transplantation. 98. 848–849. 1 indexed citations
8.
Leighton, T., David Zaun, Shu‐Cheng Chen, et al.. (2013). Scientific Registry of Transplant Recipients: Collecting, analyzing, and reporting data on transplantation in the United States. Transplantation Reviews. 27(2). 50–56. 240 indexed citations
9.
Snyder, Jon J., Nicholas Salkowski, M.A. Skeans, et al.. (2013). The Equitable Allocation of Deceased Donor Lungs for Transplant in Children in the United States. American Journal of Transplantation. 14(1). 178–183. 12 indexed citations
10.
Kasiske, Bertram L., et al.. (2012). OPTN/SRTR 2011 Annual Data Report: International Data. American Journal of Transplantation. 13. 199–225. 23 indexed citations
11.
Hagedorn, Hildi, et al.. (2010). Assessment of a Hepatitis Educational Group for Veterans with Substance Use Disorders. The American Journal of Drug and Alcohol Abuse. 36(1). 57–60. 3 indexed citations
12.
Ryan, Mary P., et al.. (1993). Medical and economic consequences of gang-related shootings.. PubMed. 59(12). 831–3. 14 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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