Peter J. Simpson

8.2k citations
89 papers · 4k · h-index 42

Impact in

Papers in

    • Protein Structure and Dynamics 13
    • Biochemical and Structural Characterization 12
    • Toxoplasma gondii Research Studies 9

Peter J. Simpson

88 papers receiving 3.9k citations

Peers

Peter J. Simpson
Comparison fields: 5 of 103
  • Biotechnology 480
  • Endocrinology 241
  • Parasitology 185
  • Molecular Biology 1.7k
  • Plant Science 570
Replace Yann Guérardel with:
Yann Guérardel France
Jozef Anné Belgium
Rakesh Bhatnagar India
Warren W. Wakarchuk Canada
Hélène Bierne France
Katherine A. Brown United Kingdom
Susana Frasés Brazil
Irma van Die Netherlands
Alex C. Jeffries United Kingdom
F. Pattus France
Peter J. Simpson relative to Yann Guérardel France Yann Guérardel's profile →
Citations per field
00.5×2×3×4.1×
Yann Guérardel · 1×
Citations per year

Countries citing papers authored by Peter J. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998248
2 2013143
3 1999140
4 2000130
5 2004104
6 200797
7 200795
8 200485
9 200083
10 200283
11 200682
12 200179
13 200178
14 201176
15 201176
16 199973
17 200471
18 199869
19 201069
20 200268

About Peter J. Simpson

Peter J. Simpson is a scholar working on Molecular Biology, Parasitology, Spectroscopy, Biotechnology and Endocrinology, having authored 89 papers that have together received 4k indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (13 papers), Advanced NMR Techniques and Applications (13 papers), Protein Structure and Dynamics (13 papers), Biochemical and Structural Characterization (12 papers), Biofuel production and bioconversion (11 papers), Bacterial Genetics and Biotechnology (9 papers), Enzyme Structure and Function (9 papers) and Toxoplasma gondii Research Studies (9 papers). The work is most often cited by research in Biotechnology (480 citations), Endocrinology (241 citations), Parasitology (185 citations), Molecular Biology (1.7k citations) and Plant Science (570 citations). Peter J. Simpson has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Stephen Matthews, Michael P. Williamson, Harry J. Gilbert, David N. Bolam, Ernesto Cota, Geoffrey P. Hazlewood, Hefang Xie, S. Raghothama, Rivka Leah Isaacson and Simon J. McQueen‐Mason. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Structure, Proceedings of the National Academy of Sciences and Biochemical Journal.

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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