Peter Pfeffer
Impact in
- Transplantation top 2%
- Developmental Neuroscience top 5%
Papers in
-
- Pluripotent Stem Cells Research 16
- Renal and related cancers 14
-
- Reproductive Biology and Fertility 16
- Organ Donation and Transplantation 9
- Co-authors
- Meinrad Busslinger (7 shared papers)Martyn Donnison (10 shared papers)D.K. Berg (10 shared papers)Ric Broadhurst (4 shared papers)David J. Pearton (4 shared papers)Maxime Bouchard (2 shared papers)Michael Brand (1 shared paper)Klaus Lun (1 shared paper)
- Journals
- Development (6 papers)Theriogenology (5 papers)Transplant International (4 papers)Developmental Biology (4 papers)Reproduction (3 papers)
- Partner nations
- New ZealandNorwayAustria
In The Last Decade
Peter Pfeffer
74 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 104
- Transplantation 169
- Developmental Neuroscience 121
- Molecular Biology 1.8k
- Public Health, Environmental and Occupational Health 743
- Agronomy and Crop Science 243
Countries citing papers authored by Peter Pfeffer
This map shows the geographic impact of Peter Pfeffer'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 Peter Pfeffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pfeffer more than expected).
Fields of papers citing papers by Peter Pfeffer
This network shows the impact of papers produced by Peter Pfeffer. 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 Peter Pfeffer. The network helps show where Peter Pfeffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Pfeffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 305 | |
| 2 | 2011 | 251 | |
| 3 | 2008 | 186 | |
| 4 | 2005 | 185 | |
| 5 | 1996 | 147 | |
| 6 | 2009 | 142 | |
| 7 | 2000 | 133 | |
| 8 | 2002 | 131 | |
| 9 | 2006 | 103 | |
| 10 | 2002 | 87 | |
| 11 | 2006 | 68 | |
| 12 | 2004 | 66 | |
| 13 | 1997 | 62 | |
| 14 | 2000 | 62 | |
| 15 | 1999 | 57 | |
| 16 | 2012 | 51 | |
| 17 | 2007 | 50 | |
| 18 | 1993 | 49 | |
| 19 | 2012 | 47 | |
| 20 | 1993 | 46 |
About Peter Pfeffer
Peter Pfeffer is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Surgery, Transplantation and Genetics, having authored 76 papers that have together received 3.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (18 papers), Reproductive Biology and Fertility (16 papers), Pluripotent Stem Cells Research (16 papers), Renal and related cancers (14 papers), Organ Transplantation Techniques and Outcomes (13 papers), Organ Donation and Transplantation (9 papers), Animal Genetics and Reproduction (8 papers) and Renal and Vascular Pathologies (6 papers). The work is most often cited by research in Transplantation (169 citations), Developmental Neuroscience (121 citations), Molecular Biology (1.8k citations), Public Health, Environmental and Occupational Health (743 citations) and Agronomy and Crop Science (243 citations). Peter Pfeffer has collaborated with scholars based in New Zealand, Norway and Austria. Frequent co-authors include Meinrad Busslinger, Martyn Donnison, D.K. Berg, Ric Broadhurst, David J. Pearton, Maxime Bouchard, Michael Brand, Klaus Lun, Thomas Gerster and David N. Wells. Their work appears in journals such as Development, Theriogenology, Transplant International, Developmental Biology and Reproduction.
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.