J. Keith Wright

2.0k citations
49 papers · 1.7k · h-index 22

Impact in

    • Amino Acid Enzymes and Metabolism
  • Genetics top 2%
    • Bacterial Genetics and Biotechnology

Papers in

    • DNA and Nucleic Acid Chemistry 10
    • Protein Structure and Dynamics 6
    • Lipid Membrane Structure and Behavior 5
    • Bacterial Genetics and Biotechnology 16

J. Keith Wright

49 papers receiving 1.6k citations

Peers

J. Keith Wright
Comparison fields: 5 of 102
  • Biochemistry 367
  • Genetics 782
  • Molecular Biology 1.2k
  • Endocrinology 55
  • Clinical Biochemistry 64
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Vladimir N. Kasho United States
R. Saffhill United Kingdom
Dmitry O. Zharkov Russia
Allen T. Lee United States
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Ulrike Wagner Austria
A. J. Varghese Canada
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Citations per field
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Citations per year

Countries citing papers authored by J. Keith Wright

Since Specialization
Citations

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

Fields of papers citing papers by J. Keith Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980246
2 1980127
3 1985112
4 1983102
5 198694
6 198384
7 198166
8 198464
9 198459
10 198059
11 198659
12 199955
13 199446
14 198339
15 198237
16 198335
17 198534
18 198531
19 198328
20 198725

About J. Keith Wright

J. Keith Wright is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (16 papers), DNA and Nucleic Acid Chemistry (10 papers), Enzyme Structure and Function (9 papers), Drug Transport and Resistance Mechanisms (7 papers), Protein Structure and Dynamics (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Biochemistry (367 citations), Genetics (782 citations), Molecular Biology (1.2k citations), Endocrinology (55 citations) and Clinical Biochemistry (64 citations). J. Keith Wright has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Peter Overath, Robert Seckler, Isolde Riede, Fritz Jähnig, Konrad Beyreuther, R. M. Teather, Horst Vogel, P.W. Postma, S.O. Nelson and Ruth Ehring. Their work appears in journals such as European Journal of Biochemistry, FEBS Letters, Biochemistry, Biochemical Journal and The EMBO 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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