Brian Gallay

776 citations
21 papers · 592 · h-index 11

Impact in

Papers in

Brian Gallay

21 papers receiving 573 citations

Peers

Brian Gallay
Comparison fields: 5 of 68
  • Transplantation 146
  • Endocrinology, Diabetes and Metabolism 219
  • Surgery 275
  • Parasitology 40
  • Hepatology 44
Replace K. Mohandas with:
K. Mohandas United States
Paride De Rosa Italy
J Bedrossian France
Luigina Marsano Italy
Luiz E. Ianhez Brazil
Stephen D. Migdal United States
C R Shackleton United States
M Teisseyre Poland
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Noritoshi Amada Japan
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Citations per field
00.5×7.8×
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Citations per year

Countries citing papers authored by Brian Gallay

Since Specialization
Citations

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

Fields of papers citing papers by Brian Gallay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Gallay, 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 Brian Gallay Line = papers co-authored together Brian Gallay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001235
2 2003107
3 199543
4 199939
5 200438
6 201337
7 201320
8 200417
9 201412
10 201811
11
Reversible acute renal allograft dysfunction due to gabapentin.
200010
12 20235
13 20044
14 20233
15 19993
16 20082
17 20112
18 20231
19 19971
20 20141

About Brian Gallay

Brian Gallay is a scholar working on Transplantation, Public Health, Environmental and Occupational Health, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 21 papers that have together received 592 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (10 papers), Transplantation: Methods and Outcomes (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Organ Donation and Transplantation (4 papers), Pharmacological Effects and Toxicity Studies (3 papers), Organ and Tissue Transplantation Research (3 papers), Renal and Vascular Pathologies (3 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Transplantation (146 citations), Endocrinology, Diabetes and Metabolism (219 citations), Surgery (275 citations), Parasitology (40 citations) and Hepatology (44 citations). Brian Gallay has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Suhail Ahmad, Robert C. Davidson, Bert Toivola, Lei Xu, Richard V. Perez, John P. McVicar, Christoph Troppmann, Jonathan L. Pierce, Charles E. Alpers and Connie L. Davis. Their work appears in journals such as Transplantation, Pediatric Transplantation, American Journal of Kidney Diseases, Clinical Transplantation and Archives of Pathology & Laboratory Medicine.

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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