Peter A. Lund

5.5k total citations · 1 hit paper
99 papers, 4.0k citations indexed

About

Peter A. Lund is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Peter A. Lund has authored 99 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 26 papers in Materials Chemistry and 24 papers in Genetics. Recurrent topics in Peter A. Lund's work include Heat shock proteins research (40 papers), Protein Structure and Dynamics (27 papers) and Enzyme Structure and Function (26 papers). Peter A. Lund is often cited by papers focused on Heat shock proteins research (40 papers), Protein Structure and Dynamics (27 papers) and Enzyme Structure and Function (26 papers). Peter A. Lund collaborates with scholars based in United Kingdom, United States and Germany. Peter A. Lund's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Peter A. Lund

97 papers receiving 3.9k citations

Hit Papers

Coping with low pH: molecular strategies in neutralophili... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter A. Lund United Kingdom 36 2.3k 676 627 418 362 99 4.0k
Sander H. J. Smits Germany 35 2.2k 1.0× 632 0.9× 418 0.7× 448 1.1× 287 0.8× 157 3.9k
Andreas Burkovski Germany 43 3.2k 1.4× 1.0k 1.5× 590 0.9× 301 0.7× 352 1.0× 183 5.4k
Xiaoyuan Wang China 43 3.7k 1.6× 872 1.3× 553 0.9× 595 1.4× 447 1.2× 227 5.8k
Laura Baldomà Spain 37 2.4k 1.0× 571 0.8× 467 0.7× 326 0.8× 180 0.5× 115 4.2k
Josefa Badı́a Spain 37 2.4k 1.0× 533 0.8× 424 0.7× 311 0.7× 172 0.5× 111 4.1k
Anthony J. Clarke Canada 41 2.2k 0.9× 1.0k 1.5× 360 0.6× 466 1.1× 592 1.6× 140 4.7k
Ahmed Gaballa United States 31 1.6k 0.7× 952 1.4× 274 0.4× 302 0.7× 427 1.2× 63 3.4k
Hilde De Reuse France 36 2.1k 0.9× 780 1.2× 489 0.8× 205 0.5× 226 0.6× 75 4.3k
Maurilio De Felice Italy 35 1.8k 0.8× 818 1.2× 329 0.5× 572 1.4× 228 0.6× 80 2.9k
Sangita Phadtare United States 25 1.9k 0.8× 846 1.3× 277 0.4× 266 0.6× 188 0.5× 72 2.9k

Countries citing papers authored by Peter A. Lund

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Peter A. Lund

This figure shows the co-authorship network connecting the top 25 collaborators of Peter A. Lund. A scholar is included among the top collaborators of Peter A. Lund based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter A. Lund. Peter A. Lund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mande, Shekhar C., et al.. (2025). Genetic and structural insights into the functional importance of the conserved gly-met-rich C-terminal tails in bacterial chaperonins. Communications Biology. 8(1). 555–555. 2 indexed citations
2.
Torres, Von Vergel L, Gerald Goodall, Christy L. Collins, et al.. (2024). Transposon mutagenesis screen in Klebsiella pneumoniae identifies genetic determinants required for growth in human urine and serum. eLife. 12. 3 indexed citations
3.
Mira, Nuno P., Robert L. Marshall, Ralf Dieckmann, et al.. (2024). On the potential role of naturally occurring carboxylic organic acids as anti-infective agents: opportunities and challenges. International Journal of Infectious Diseases. 140. 119–123. 8 indexed citations
4.
Atasoy, Merve, Avelino Álvarez‐Ordóñez, Adam Cenian, et al.. (2023). Exploitation of microbial activities at low pH to enhance planetary health. FEMS Microbiology Reviews. 48(1). 36 indexed citations
5.
Tonner, Peter D., et al.. (2020). A Bayesian non-parametric mixed-effects model of microbial growth curves. PLoS Computational Biology. 16(10). e1008366–e1008366. 12 indexed citations
6.
Lund, Peter A., Daniela De Biase, Oded Liran, et al.. (2020). Understanding How Microorganisms Respond to Acid pH Is Central to Their Control and Successful Exploitation. Frontiers in Microbiology. 11. 556140–556140. 175 indexed citations
7.
Iqbal, Mudassar, Neil Doherty, Saara N. A. Qazi, et al.. (2017). Reconstructing promoter activity from Lux bioluminescent reporters. PLoS Computational Biology. 13(9). e1005731–e1005731. 16 indexed citations
8.
Browning, Douglas F., Timothy J. Wells, Faye C. Morris, et al.. (2013). Laboratory adapted E scherichia coli K ‐12 becomes a pathogen of C aenorhabditis elegans upon restoration of O antigen biosynthesis. Molecular Microbiology. 87(5). 939–950. 58 indexed citations
9.
Parnas, Avital, Shahar Nisemblat, Celeste Weiss, et al.. (2012). Identification of Elements That Dictate the Specificity of Mitochondrial Hsp60 for Its Co-Chaperonin. PLoS ONE. 7(12). e50318–e50318. 29 indexed citations
10.
Liu, Han, Eszter Kovács, & Peter A. Lund. (2009). Characterisation of mutations in GroES that allow GroEL to function as a single ring. FEBS Letters. 583(14). 2365–2371. 12 indexed citations
11.
Lund, Peter A.. (2009). Multiple chaperonins in bacteria – why so many?. FEMS Microbiology Reviews. 33(4). 785–800. 101 indexed citations
12.
Lund, Peter A.. (2008). PDF Can be Pretty Darn Fancy: Tips and Tricks for the ODS PDF Destination. 57(76). 9732–9735. 1 indexed citations
13.
Lodge, Julia, Steve Minchin, & Peter A. Lund. (2007). Gene cloning : principles and applications. Taylor & Francis eBooks. 10 indexed citations
14.
Lund, Peter A., Andrew T. Large, & Georgia Kapatai. (2003). The chaperonins: perspectives from the Archaea. Biochemical Society Transactions. 31(3). 681–685. 23 indexed citations
15.
Lewthwaite, Jo, Roger George, Peter A. Lund, et al.. (2002). Rhizobium leguminosarum chaperonin 60.3, but not chaperonin 60.1, induces cytokine production by human monocytes: activity is dependent on interaction with cell surface CD14. Cell Stress and Chaperones. 7(2). 130–130. 19 indexed citations
16.
Clarke, Anthony R., et al.. (2000). Trp203 mutation in GroEL promotes a self-association reaction: a hydrodynamic study. European Biophysics Journal. 29(6). 420–428. 4 indexed citations
17.
Wallington, Emma J., et al.. (1997). Deletion of Escherichia coli groEL is complemented by a Rhizobium leguminosarum groEL homologue at 37°C but not at 43°C. Gene. 194(1). 1–8. 32 indexed citations
18.
Lund, Peter A.. (1994). The chaperonin cycle and protein folding. BioEssays. 16(4). 229–231. 8 indexed citations
19.
Lund, Peter A., et al.. (1989). Up-promoter mutations in the positively-regulatedmerpromoter of TnSOl. Nucleic Acids Research. 17(14). 5517–5528. 24 indexed citations
20.
Kornberg, H.L. & Peter A. Lund. (1980). Editors note. FEBS Letters. 117(S1). 12 indexed citations

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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