Peter Shaw
Impact in
- Plant Science top 0.2%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Biophysics top 0.2%
Papers in
-
- Plant Reproductive Biology 34
- Genomics and Chromatin Dynamics 25
- Plant tissue culture and regeneration 23
- RNA Research and Splicing 21
- RNA modifications and cancer 19
- Plant Science 108
- Chromosomal and Genetic Variations 45
- Plant Molecular Biology Research 44
- Plant Genetic and Mutation Studies 19
- Co-authors
- David J. Rawlins (14 shared papers)Graham Moore (22 shared papers)John W. Brown (12 shared papers)Clive Lloyd (11 shared papers)John H. Doonan (13 shared papers)E. G. Jordan (4 shared papers)David A. Agard (2 shared papers)Yasushi Hiraoka (2 shared papers)
- Journals
- Journal of Cell Science (16 papers)The Plant Journal (16 papers)The Plant Cell (11 papers)Journal of Microscopy (9 papers)Chromosoma (9 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Peter Shaw
167 papers receiving 9.1k citations
Peter Shaw's Hit Papers
Peers
Comparison fields: 5 of 161
- Plant Science 5.1k
- Biophysics 649
- Molecular Biology 6.7k
- Structural Biology 117
- Cell Biology 1.0k
Countries citing papers authored by Peter Shaw
This map shows the geographic impact of Peter Shaw'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 Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Shaw more than expected).
Fields of papers citing papers by Peter Shaw
This network shows the impact of papers produced by Peter Shaw. 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 Shaw. The network helps show where Peter Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Shaw, 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chapter 13 Fluorescence Microscopy in Three Dimensions Hit paper breakdown → | 1989 | 582 |
| 2 | 1995 | 340 | |
| 3 | 2004 | 313 | |
| 4 | 1987 | 310 | |
| 5 | 1997 | 200 | |
| 6 | 2001 | 199 | |
| 7 | 1994 | 190 | |
| 8 | 2004 | 185 | |
| 9 | 2006 | 182 | |
| 10 | 1994 | 177 | |
| 11 | 2001 | 166 | |
| 12 | 2006 | 158 | |
| 13 | 1991 | 145 | |
| 14 | 1999 | 136 | |
| 15 | 1998 | 124 | |
| 16 | 1999 | 123 | |
| 17 | 2005 | 120 | |
| 18 | 2004 | 114 | |
| 19 | 1987 | 112 | |
| 20 | 2005 | 110 |
About Peter Shaw
Peter Shaw is a scholar working on Molecular Biology, Plant Science, Cell Biology, Biophysics and Atomic and Molecular Physics, and Optics, having authored 171 papers that have together received 9.4k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (45 papers), Plant Molecular Biology Research (44 papers), Plant Reproductive Biology (34 papers), Genomics and Chromatin Dynamics (25 papers), Plant tissue culture and regeneration (23 papers), RNA Research and Splicing (21 papers), Plant Genetic and Mutation Studies (19 papers) and RNA modifications and cancer (19 papers). The work is most often cited by research in Plant Science (5.1k citations), Biophysics (649 citations), Molecular Biology (6.7k citations), Structural Biology (117 citations) and Cell Biology (1.0k citations). Peter Shaw has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David J. Rawlins, Graham Moore, John W. Brown, Clive Lloyd, John H. Doonan, E. G. Jordan, David A. Agard, Yasushi Hiraoka, John W. Sedat and Alison F. Beven. Their work appears in journals such as Journal of Cell Science, The Plant Journal, The Plant Cell, Journal of Microscopy and Chromosoma.
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.