T.W. Shroyer

504 citations
13 papers · 418 indexed · h-index 9

Impact in

Papers in

T.W. Shroyer

12 papers receiving 405 citations

Peers

T.W. Shroyer
Comparison fields: 5 of 41
  • Transplantation 259
  • Hematology 112
  • Genetics 77
  • Surgery 215
  • Nephrology 32
Replace Donata Cresseri with:
Donata Cresseri Italy
TE Starzl United States
Y. Tanter France
Kristen Cisneros United States
Jakob Mühlbacher Austria
Maria Ibrahim United Kingdom
Masaki Muramatsu Japan
Lon Eskind United States
M.J. Paniagua Spain
F. Egidi United States
T.W. Shroyer relative to Donata Cresseri Italy Donata Cresseri's profile →
Citations per field
00.5×4.1×
Donata Cresseri · 1×
Citations per year

Countries citing papers authored by T.W. Shroyer

Since Specialization
Citations

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

Fields of papers citing papers by T.W. Shroyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside T.W. Shroyer, 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 T.W. Shroyer Line = papers co-authored together T.W. Shroyer links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Utility of posttransplantation panel-reactive antibody measurements for the prediction of rejection frequency and survival of heart transplant recipients.
199635
2 199598
3 199519
4 19952
5 199434
6 19940
7
Influence of HLA mismatch on rejection after heart transplantation: a multiinstitutional study. The Cardiac Transplant Research Database Group.
199479
8 199210
9 199293
10 199218
11 19922
12 19914
13 198924

About T.W. Shroyer

T.W. Shroyer is a scholar working on Transplantation, Nephrology, Hematology, Biochemistry and Surgery, having authored 13 papers that have together received 418 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (9 papers), Organ Donation and Transplantation (4 papers), Transplantation: Methods and Outcomes (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Renal and Vascular Pathologies (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Organ and Tissue Transplantation Research (2 papers). The work is most often cited by research in Transplantation (259 citations), Hematology (112 citations), Genetics (77 citations), Surgery (215 citations) and Nephrology (32 citations). T.W. Shroyer has collaborated with scholars based in United States and Greece. Frequent co-authors include Sharon L. Hudson, Mark H. Deierhoi, James C. Barton, Corwin Q. Edwards, Luigi F. Bertoli, William H. Barber, Bruce A. Julian, John J. Curtis, David C. Naftel and James K. Kirklin. Their work appears in journals such as Transplantation, Human Immunology, The American Journal of Medicine and PubMed.

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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