F. J. Simpson

2.2k citations
63 papers · 2.0k · h-index 28

Impact in

Papers in

F. J. Simpson

63 papers receiving 1.6k citations

Peers

F. J. Simpson
Comparison fields: 5 of 102
  • Aquatic Science 279
  • Biochemistry 208
  • Oceanography 311
  • Biotechnology 174
  • Endocrinology, Diabetes and Metabolism 294
Replace A. C. Neish with:
A. C. Neish Canada
Jean‐Pierre Salaün France
Joanne L. Gellerman United States
Jung‐Rae Rho South Korea
Maria Iorizzi Italy
Thomas Rausch Germany
Byung‐Hun Um South Korea
Yoshihiko Akakabe Japan
Gopinadhan Paliyath Canada
Toshiaki Teruya Japan
F. J. Simpson relative to A. C. Neish Canada A. C. Neish's profile →
Citations per field
00.5×3.4×
A. C. Neish · 1×
Citations per year

Countries citing papers authored by F. J. Simpson

Since Specialization
Citations

This map shows the geographic impact of F. 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 F. 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 F. J. Simpson more than expected).

Fields of papers citing papers by F. J. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. 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 F. J. Simpson Line = papers co-authored together F. 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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980177
2 1977114
3 197191
4 197082
5 195975
6 197266
7 196961
8 196056
9 195855
10 197054
11 196453
12 196648
13 196946
14 195845
15 197142
16 198141
17 195840
18
Some aspects of the culture of Palmaria palmata in greenhouse tanks
198040
19 196838
20 196735

About F. J. Simpson

F. J. Simpson is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Biochemistry, Biotechnology and Nutrition and Dietetics, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (21 papers), Amino Acid Enzymes and Metabolism (12 papers), Enzyme Catalysis and Immobilization (11 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Polyamine Metabolism and Applications (7 papers), Enzyme function and inhibition (7 papers), Enzyme Production and Characterization (7 papers) and Microbial Metabolites in Food Biotechnology (6 papers). The work is most often cited by research in Aquatic Science (279 citations), Biochemistry (208 citations), Oceanography (311 citations), Biotechnology (174 citations) and Endocrinology, Diabetes and Metabolism (294 citations). F. J. Simpson has collaborated with scholars based in United States and Canada. Frequent co-authors include Keith C. Morgan, H. G. Krishnamurty, D. W. S. Westlake, W.A. Wood, P. F. Shacklock, Jeffrey L. C. Wright, Takuji Oka, E. R. Blakley, A. C. Neish and Arthur S. Perlin. Their work appears in journals such as Canadian Journal of Microbiology, Botanica Marina, Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology and Biochemical and Biophysical Research Communications.

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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