Peggy Perrin

46 papers receiving 1.1k citations

Peggy Perrin's Hit Papers

Antibody Response After a Third Dose of the mRNA-1273 SARS-CoV-2 Vaccine in Kidney Transplant Recipients With Minimal Serologic Response to 2 Doses 2021 · 223 citations
2230+1+3Years since publication50100150200

Peers

Peggy Perrin
Comparison fields: 5 of 77
  • Transplantation 153
  • Nephrology 151
  • Infectious Diseases 371
  • Hepatology 67
  • Oncology 206
Replace Sandesh Parajuli with:
Sandesh Parajuli United States
Line Heylen Belgium
Titus Augustine United Kingdom
Jeffrey Schiff Canada
Éric Mariotte France
María José Pérez‐Sáez Spain
Daniela Corona Italy
Nicola Bossini Italy
Yuk M. Law United States
O. N. Fernando United Kingdom
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Peggy Perrin

Since Specialization
Citations

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

Fields of papers citing papers by Peggy Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Antibody Response After a Third Dose of the mRNA-1273 SARS-CoV-2 Vaccine in Kidney Transplant Recipients With Minimal Serologic Response to 2 Doses
Hit paper breakdown →
2021223
2 2013120
3 2020111
4 2013111
5 201182
6 201167
7 201557
8 202035
9 202235
10 202030
11 201526
12 201625
13 201624
14 202222
15 201915
16 199413
17 201712
18 202011
19 198010
20 19948

About Peggy Perrin

Peggy Perrin is a scholar working on Surgery, Nephrology, Infectious Diseases, Pulmonary and Respiratory Medicine and Transplantation, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (7 papers), Complement system in diseases (6 papers), COVID-19 Clinical Research Studies (6 papers), Renal Diseases and Glomerulopathies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Parathyroid Disorders and Treatments (4 papers), Polyomavirus and related diseases (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Transplantation (153 citations), Nephrology (151 citations), Infectious Diseases (371 citations), Hepatology (67 citations) and Oncology (206 citations). Peggy Perrin has collaborated with scholars based in France, Saudi Arabia and Brazil. Frequent co-authors include Sophie Caillard, Jérôme Olagne, Bruno Moulin, Samira Fafi‐Kremer, Iliès Benotmane, Noëlle Cognard, Françoise Heibel, C. Müller, Claire Borni-Duval and Laura Braun. Their work appears in journals such as Transplantation, Kidney International Reports, American Journal of Transplantation, Nephrology Dialysis Transplantation and Transplant International.

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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