P. J. Large

1.6k citations
54 papers · 1.5k · h-index 18

Impact in

Papers in

    • Amino Acid Enzymes and Metabolism 20
    • Microbial metabolism and enzyme function 15
    • Polyamine Metabolism and Applications 14
    • Microbial Metabolic Engineering and Bioproduction 5

P. J. Large

52 papers receiving 1.3k citations

Peers

P. J. Large
Comparison fields: 5 of 89
  • Biochemistry 452
  • Clinical Biochemistry 114
  • Process Chemistry and Technology 47
  • Molecular Biology 1.1k
  • Pollution 144
Replace C. A. Fewson with:
C. A. Fewson United Kingdom
C.S. Vaidyanathan India
C. Anthony United Kingdom
Leonard J. Zatman United Kingdom
Masami Makita Japan
F Pichinoty France
Reino E. Kallio United States
Yoshikazu Izumi Japan
L. Dudley Eirich United States
P W Trudgill United Kingdom
P. J. Large relative to C. A. Fewson United Kingdom C. A. Fewson's profile →
Citations per field
00.5×1.7×
C. A. Fewson · 1×
Citations per year

Countries citing papers authored by P. J. Large

Since Specialization
Citations

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

Fields of papers citing papers by P. J. Large

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1963179
2 1968132
3 1961118
4 199377
5 198072
6 196671
7 197165
8 198764
9 196252
10 196252
11 197052
12 197152
13 197135
14 198334
15 198228
16 198127
17 197722
18 196919
19 198218
20 196918

About P. J. Large

P. J. Large is a scholar working on Biochemistry, Molecular Biology, Pharmaceutical Science, Clinical Biochemistry and Pharmacology, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (20 papers), Microbial metabolism and enzyme function (15 papers), Polyamine Metabolism and Applications (14 papers), Chemical Reactions and Isotopes (7 papers), Metabolism and Genetic Disorders (7 papers), Pharmacogenetics and Drug Metabolism (7 papers), Biofuel production and bioconversion (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Biochemistry (452 citations), Clinical Biochemistry (114 citations), Process Chemistry and Technology (47 citations), Molecular Biology (1.1k citations) and Pollution (144 citations). P. J. Large has collaborated with scholars based in United Kingdom, Japan and Denmark. Frequent co-authors include JR Quayle, Robert R. Eady, David Alan Peel, Geoffrey W. Haywood, EDWIN A. DAWES, Trevor R. Jarman, Charles W. Bamforth, J. Frank Jzn, Johannis A. Duine and Ron de Beer. Their work appears in journals such as Microbiology, Biochemical Journal, Journal of the Institute of Brewing, FEBS Letters and The Journal of Biochemistry.

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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