Peter Shaw

11.0k citations
161 papers · 8.5k indexed · 1 hit paper · h-index 55
  • Plant Science top 0.2%
    • Chromosomal and Genetic Variations 46
    • Plant Molecular Biology Research 41
    • Plant Genetic and Mutation Studies 19
    • Plant Reproductive Biology 33
    • Genomics and Chromatin Dynamics 24
    • Plant tissue culture and regeneration 23
    • RNA Research and Splicing 20
    • RNA and protein synthesis mechanisms 18
  • Biophysics top 0.5%

Peter Shaw

159 papers receiving 8.4k citations

Hit Papers

Chapter 13 Fluorescence Microscopy in Three Dimensions5321989202620012013100200300400500

Peers

Peter Shaw
Comparison fields: 5 of 158
  • Plant Science 4.8k
  • Molecular Biology 6.3k
  • Biophysics 491
  • Structural Biology 96
  • Cell Biology 944
Replace Sebastian Y. Bednarek with:
Sebastian Y. Bednarek United States
Kiichi Fukui Japan
Peter R. Cook United Kingdom
Roel van Driel Netherlands
Sachihiro Matsunaga Japan
Theodorus W. J. Gadella Netherlands
W. Zacheus Cande United States
Joachim Goedhart Netherlands
Nadya G. Gurskaya Russia
Thomas H. Giddings United States
Peter Shaw relative to Sebastian Y. Bednarek United States Sebastian Y. Bednarek's profile →
Citations per field
00.5×1.6×
Sebastian Y. Bednarek · 1×
Citations per year

Countries citing papers authored by Peter Shaw

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Peter Shaw Line = papers co-authored together Peter Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201923
2 201860
3 201828
4 201730
5 20106
6 201028
7 200978
8 200870
9 200510
10 200517
11 2004178
12 200354
13 200132
14 200146
15 2001148
16 200023
17 1999118
18 199122
19 199017
20 198723

About Peter Shaw

Peter Shaw is a scholar working on Plant Science, Structural Biology and Molecular Biology, having authored 161 papers that have together received 8.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (46 papers), Plant Molecular Biology Research (41 papers), Plant Reproductive Biology (33 papers), Genomics and Chromatin Dynamics (24 papers), Plant tissue culture and regeneration (23 papers), RNA Research and Splicing (20 papers), Plant Genetic and Mutation Studies (19 papers) and RNA and protein synthesis mechanisms (18 papers). The work is most often cited by research in Plant Science (4.8k citations), Molecular Biology (6.3k citations) and Biophysics (491 citations). Peter Shaw has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include David J. Rawlins, Graham Moore, John W. Brown, Clive Lloyd, E. G. Jordan, John H. Doonan, Yasushi Hiraoka, John W. Sedat, David A. Agard 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.

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