P Large
Impact in
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism
- Biochemical Acid Research Studies
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Microbial metabolism and enzyme function 15
- Polyamine Metabolism and Applications 12
- Microbial Metabolic Engineering and Bioproduction 5
- Biochemistry 22
- Amino Acid Enzymes and Metabolism 20
- Co-authors
- JR Quayle (4 shared papers)Robert R. Eady (6 shared papers)David Peel (3 shared papers)Geoffrey W. Haywood (8 shared papers)E. A. Dawes (1 shared paper)T. R. Jarman (4 shared papers)Charles W. Bamforth (5 shared papers)Johannis A. Duine (1 shared paper)
- Journals
- Microbiology (8 papers)Biochemical Journal (4 papers)Journal of the Institute of Brewing (3 papers)The Journal of Biochemistry (2 papers)FEBS Letters (2 papers)
- Partner nations
- United KingdomJapanNetherlands
In The Last Decade
P Large
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Biochemistry 437
- Clinical Biochemistry 105
- Molecular Biology 992
- Process Chemistry and Technology 41
- Pollution 133
Countries citing papers authored by P Large
This map shows the geographic impact of P 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 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 Large more than expected).
Fields of papers citing papers by P Large
This network shows the impact of papers produced by P 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 Large. The network helps show where P Large may publish in the future.
Co-authors
The 25 scholars most cited alongside P Large, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1963 | 167 | |
| 2 | 1968 | 124 | |
| 3 | 1961 | 112 | |
| 4 | 1993 | 69 | |
| 5 | 1980 | 65 | |
| 6 | 1966 | 62 | |
| 7 | 1971 | 59 | |
| 8 | 1987 | 56 | |
| 9 | 1971 | 51 | |
| 10 | 1970 | 48 | |
| 11 | 1962 | 47 | |
| 12 | 1962 | 46 | |
| 13 | 1971 | 32 | |
| 14 | 1983 | 32 | |
| 15 | 1982 | 27 | |
| 16 | 1981 | 26 | |
| 17 | 1977 | 21 | |
| 18 | 1969 | 18 | |
| 19 | 1982 | 17 | |
| 20 | 1969 | 15 |
About P Large
P Large is a scholar working on Molecular Biology, Biochemistry, Pharmaceutical Science, Clinical Biochemistry and Pharmacology, having authored 51 papers that have together received 1.3k 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 (12 papers), Pharmacogenetics and Drug Metabolism (7 papers), Metabolism and Genetic Disorders (7 papers), Chemical Reactions and Isotopes (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Biochemistry (437 citations), Clinical Biochemistry (105 citations), Molecular Biology (992 citations), Process Chemistry and Technology (41 citations) and Pollution (133 citations). P Large has collaborated with scholars based in United Kingdom, Japan and Netherlands. Frequent co-authors include JR Quayle, Robert R. Eady, David Peel, Geoffrey W. Haywood, E. A. Dawes, T. R. Jarman, Charles W. Bamforth, Johannis A. Duine, J. Frank Jzn and R. de Beer. Their work appears in journals such as Microbiology, Biochemical Journal, Journal of the Institute of Brewing, The Journal of Biochemistry and FEBS Letters.
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.