Diana Perkinson

475 citations
7 papers · 405 indexed · h-index 5

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes

Papers in

Diana Perkinson

7 papers receiving 385 citations

Peers

Diana Perkinson
Comparison fields: 5 of 65
  • Transplantation 91
  • Nephrology 156
  • Immunology and Allergy 28
  • Immunology 94
  • Hematology 42
Replace P Errasti with:
P Errasti Spain
J Klassen Canada
Elif Erkan United States
O Otsubo Japan
Takeshi Fujita Japan
Christopher Clardy United States
Marianne Wigger Germany
Sophie Lechaton France
M Broyer France
Markus Pirklbauer Austria
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Citations per field
00.5×1.5×
P Errasti · 1×
Citations per year

Countries citing papers authored by Diana Perkinson

Since Specialization
Citations

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

Fields of papers citing papers by Diana Perkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Diana Perkinson, 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 Diana Perkinson Line = papers co-authored together Diana Perkinson links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 200492
2 19973
3 199692
4 198979
5
Studies of progressive glomerular sclerosis in the rat.
198674
6
Mechanisms of progressive glomerular sclerosis in the rat
19853
7
Membrane attack complex deposition in experimental glomerular injury.
198562

About Diana Perkinson

Diana Perkinson is a scholar working on Transplantation, Nephrology, Immunology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 405 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Complement system in diseases (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Fungal Infections and Studies (1 paper), Neutropenia and Cancer Infections (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Transplantation (91 citations), Nephrology (156 citations), Immunology and Allergy (28 citations), Immunology (94 citations) and Hematology (42 citations). Diana Perkinson has collaborated with scholars based in United States. Frequent co-authors include William G. Couser, William H. Marks, S. Adler, Richard J. Johnson, Patricia J. Baker, Joshua A. Lieberman, Liliane J. Striker, Jacqueline M. Hibbert, Donald R. Howard and Paul R. Roberts. Their work appears in journals such as Kidney International, The American Journal of Surgery, Transplantation, Transplantation Proceedings 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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