P.P.J. Dunn

1.5k citations
71 papers · 1.2k · h-index 18

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Renal Transplantation Outcomes and Treatments 26
    • Hematopoietic Stem Cell Transplantation 22
    • Blood groups and transfusion 4

P.P.J. Dunn

69 papers receiving 1.1k citations

Peers

P.P.J. Dunn
Comparison fields: 5 of 65
  • Transplantation 194
  • Hematology 226
  • Animal Science and Zoology 143
  • Genetics 300
  • Nutrition and Dietetics 80
Replace Céline Mulet with:
Céline Mulet France
Michel Dubarry France
Emily M. Eshleman United States
Rohita Sinha United States
Birgit Linhart Austria
Boris Zavizion United States
Jun‐ichi Kurisaki Japan
Si Chen China
Grischa Y. Chen United States
P.P.J. Dunn relative to Céline Mulet France Céline Mulet's profile →
Citations per field
00.5×5×10×16.2×
Céline Mulet · 1×
Citations per year

Countries citing papers authored by P.P.J. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by P.P.J. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.P.J. Dunn. 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 P.P.J. Dunn. The network helps show where P.P.J. Dunn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992158
2 1996111
3 198866
4 199165
5 198845
6 201244
7 201141
8 202136
9 201433
10 201231
11 199628
12 201728
13 201326
14 198825
15 200024
16 200023
17 200523
18 200319
19 200118
20 201318

About P.P.J. Dunn

P.P.J. Dunn is a scholar working on Transplantation, Hematology, Genetics, Animal Science and Zoology and Molecular Biology, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (35 papers), Renal Transplantation Outcomes and Treatments (26 papers), Hematopoietic Stem Cell Transplantation (22 papers), Forensic and Genetic Research (10 papers), vaccines and immunoinformatics approaches (8 papers), Photosynthetic Processes and Mechanisms (6 papers), Coccidia and coccidiosis research (6 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Transplantation (194 citations), Hematology (226 citations), Animal Science and Zoology (143 citations), Genetics (300 citations) and Nutrition and Dietetics (80 citations). P.P.J. Dunn has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Janene M. Bumstead, Fiona M. Tomley, John C. Gray, Karen Billington, Anne Edwards, Madan K. Bhattacharyya, Cathie R. Martin, Ian Barry Dry, Alison M. Smith and Antoni R. Slabas. Their work appears in journals such as Human Immunology, Biochemical Journal, Molecular and Biochemical Parasitology, Plant Molecular Biology and Parasitology Research.

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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