Greg Bennett

893 citations
28 papers · 775 · h-index 15

Impact in

    • Renal Transplantation Outcomes and Treatments
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Complement system in diseases

Papers in

Greg Bennett

26 papers receiving 739 citations

Peers

Greg Bennett
Comparison fields: 5 of 82
  • Transplantation 334
  • Immunology 177
  • Nephrology 57
  • Hematology 58
  • Pharmacology 37
Replace Beatriz Tavira with:
Beatriz Tavira Spain
Kaiyin Wu Germany
Kevin T. Rockich United States
Juan Shan China
Greta Burmeister Germany
Marie Josée Hébert Canada
Stefano Ravalli United States
Monika Ledermann Switzerland
DAVID VAN THIEL United States
Raffaele Cursio France
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Citations per field
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Citations per year

Countries citing papers authored by Greg Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Greg Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009137
2
Homeostatic removal of senescent murine erythrocytes by splenic macrophages.
198180
3
Molecular nature of in vivo mutations in human cells at the autosomal HLA-A locus.
199067
4 200865
5 199652
6 201550
7 200937
8 199636
9 201634
10 201231
11 201128
12 199526
13
Characterization of carbamazepine metabolism in a mouse model of carbamazepine teratogenicity.
199725
14 201524
15 201319
16 198714
17 201013
18 200810
19 20119
20 19955

About Greg Bennett

Greg Bennett is a scholar working on Transplantation, Immunology, Nephrology, Hematology and Surgery, having authored 28 papers that have together received 775 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (11 papers), Renal Diseases and Glomerulopathies (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Blood groups and transfusion (3 papers), Transplantation: Methods and Outcomes (3 papers), Platelet Disorders and Treatments (3 papers), Pregnancy and Medication Impact (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Transplantation (334 citations), Immunology (177 citations), Nephrology (57 citations), Hematology (58 citations) and Pharmacology (37 citations). Greg Bennett has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Marguerite M.B. Kay, P. Toby Coates, Graeme R. Russ, Rhonda F. Holdsworth, Linda S. Cantwell, Matthew Jose, Brian D. Tait, Robert P. Carroll, Scott A. Grist and Alexander A. Morley. Their work appears in journals such as Human Immunology, Nephrology, Transplantation, Transplant International and British Journal of Haematology.

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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