Peter D. Kelly
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Genetics top 5%
- Genetic diversity and population structure
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Animal Genetics and Reproduction
Papers in
-
- Congenital heart defects research 3
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
- Receptor Mechanisms and Signaling 2
-
- Nitric Oxide and Endothelin Effects 6
- Co-authors
- William S. Talbot (6 shared papers)Ian G. Woods (5 shared papers)John H. Postlethwait (4 shared papers)Hui Huang (3 shared papers)Yi‐Lin Yan (1 shared paper)Catherine Wilson (1 shared paper)Rebecca Nix (1 shared paper)Alexander F. Schier (2 shared papers)
- Journals
- Genome Research (5 papers)Vascular Medicine (2 papers)Journal of Vascular and Interventional Radiology (2 papers)Neuropeptides (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Peter D. Kelly
21 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Cell Biology 346
- Genetics 409
- Molecular Biology 1.0k
- Aging 20
- Physiology 47
Countries citing papers authored by Peter D. Kelly
This map shows the geographic impact of Peter D. Kelly'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 D. Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter D. Kelly more than expected).
Fields of papers citing papers by Peter D. Kelly
This network shows the impact of papers produced by Peter D. Kelly. 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 D. Kelly. The network helps show where Peter D. Kelly may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter D. Kelly, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Zebrafish Comparative Genomics and the Origins of Vertebrate Chromosomes Hit paper breakdown → | 2000 | 541 |
| 2 | 2005 | 318 | |
| 3 | 2005 | 125 | |
| 4 | 2000 | 101 | |
| 5 | 2002 | 92 | |
| 6 | 2000 | 80 | |
| 7 | 2000 | 67 | |
| 8 | 1982 | 47 | |
| 9 | 2012 | 27 | |
| 10 | 2009 | 19 | |
| 11 | 2010 | 19 | |
| 12 | 2016 | 17 | |
| 13 | 2008 | 17 | |
| 14 | 2010 | 16 | |
| 15 | 2009 | 12 | |
| 16 | 2014 | 10 | |
| 17 | 2006 | 8 | |
| 18 | 1990 | 7 | |
| 19 | 1982 | 4 | |
| 20 | 2015 | 1 |
About Peter D. Kelly
Peter D. Kelly is a scholar working on Molecular Biology, Physiology, Cell Biology, Genetics and Plant Science, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Chromosomal and Genetic Variations (3 papers), Zebrafish Biomedical Research Applications (3 papers), Congenital heart defects research (3 papers), Genomics and Chromatin Dynamics (2 papers), Neuropeptides and Animal Physiology (2 papers), CRISPR and Genetic Engineering (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cell Biology (346 citations), Genetics (409 citations), Molecular Biology (1.0k citations), Aging (20 citations) and Physiology (47 citations). Peter D. Kelly has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include William S. Talbot, Ian G. Woods, John H. Postlethwait, Hui Huang, Yi‐Lin Yan, Catherine Wilson, Rebecca Nix, Alexander F. Schier, Howard I. Sirotkin and Michael A. Gates. Their work appears in journals such as Genome Research, Vascular Medicine, Journal of Vascular and Interventional Radiology, Neuropeptides and Current Biology.
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.