Peter A. Lund
- Endocrinology top 1%
- Escherichia coli research studies 8
- Biotechnology top 1%
- Molecular Biology top 5%
- Heat shock proteins research 40
- Protein Structure and Dynamics 27
- RNA and protein synthesis mechanisms 9
- Microbial Metabolic Engineering and Bioproduction 7
- Molecular Medicine top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 17
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- Enzyme Structure and Function 26
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- Toxin Mechanisms and Immunotoxins 7
- Co-authors
- Daniela De BiaseAngela TramontiPamela DunsmuirNigel L. BrownBrian E. HendersonSimon R. ClarkeAndrew T. LargeMatthew D. Johnson
- Journals
- Molecular Microbiology (6 papers)Journal of Molecular Biology (6 papers)FEBS Letters (5 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Peter A. Lund
97 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Endocrinology 313
- Biotechnology 330
- Molecular Biology 2.3k
- Molecular Medicine 153
- Genetics 676
Countries citing papers authored by Peter A. Lund
This map shows the geographic impact of Peter A. Lund'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 A. Lund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter A. Lund more than expected).
Fields of papers citing papers by Peter A. Lund
This network shows the impact of papers produced by Peter A. Lund. 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 A. Lund. The network helps show where Peter A. Lund may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter A. Lund, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 36 | |
| 4 | 2020 | 175 | |
| 5 | 2019 | 55 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 16 | |
| 8 | 2013 | 58 | |
| 9 | 2011 | 34 | |
| 10 | 2009 | 12 | |
| 11 | 2008 | 1 | |
| 12 | Gene cloning : principles and applications | 2007 | 10 |
| 13 | 2005 | 36 | |
| 14 | 2003 | 2 | |
| 15 | 2000 | 4 | |
| 16 | 2000 | 10 | |
| 17 | 1995 | 47 | |
| 18 | 1991 | 91 | |
| 19 | 1989 | 27 | |
| 20 | 1980 | 12 |
About Peter A. Lund
Peter A. Lund is a scholar working on Endocrinology, Molecular Medicine, Molecular Biology, Genetics and Biotechnology, having authored 99 papers that have together received 4.0k indexed citations. Recurring topics across this work include Heat shock proteins research (40 papers), Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (26 papers), Bacterial Genetics and Biotechnology (17 papers), RNA and protein synthesis mechanisms (9 papers), Escherichia coli research studies (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Toxin Mechanisms and Immunotoxins (7 papers). The work is most often cited by research in Endocrinology (313 citations), Biotechnology (330 citations), Molecular Biology (2.3k citations), Molecular Medicine (153 citations) and Genetics (676 citations). Peter A. Lund has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Daniela De Biase, Angela Tramonti, Pamela Dunsmuir, Nigel L. Brown, Brian E. Henderson, Simon R. Clarke, Andrew T. Large, Matthew D. Johnson, Nathan Brown and David P. Humphreys. Their work appears in journals such as Molecular Microbiology, Journal of Molecular Biology, FEBS Letters, Frontiers in Microbiology and FEMS Microbiology Reviews.
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.