Peter A. Lind

1.4k citations
23 papers · 803 · h-index 13

Impact in

Papers in

    • Evolution and Genetic Dynamics 17
    • Bacterial Genetics and Biotechnology 3
    • CRISPR and Genetic Engineering 12
    • RNA and protein synthesis mechanisms 4
    • Genomics and Phylogenetic Studies 3

Peter A. Lind

23 papers receiving 796 citations

Peers

Peter A. Lind
Comparison fields: 5 of 83
  • Genetics 398
  • Molecular Medicine 48
  • Immunology 142
  • Molecular Biology 459
  • Oncology 119
Replace Jason Sparkowski with:
Jason Sparkowski United States
Dhana G. Gorasia Australia
Peter Pelka Canada
Dorothée Müller Germany
Ryotaro Ishizaki Japan
Martin Waterfall United Kingdom
David Neves Brazil
Margaret Bills Australia
J Thomas United Kingdom
Piero A. Battaglia Italy
Peter A. Lind relative to Jason Sparkowski United States Jason Sparkowski's profile →
Citations per field
00.5×10×12.6×
Jason Sparkowski · 1×
Citations per year

Countries citing papers authored by Peter A. Lind

Since Specialization
Citations

This map shows the geographic impact of Peter A. Lind'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. Lind 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. Lind more than expected).

Fields of papers citing papers by Peter A. Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Lind. 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. Lind. The network helps show where Peter A. Lind may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008148
2 1997138
3 201588
4 201087
5 201064
6 199655
7 201944
8 201637
9 201437
10 201730
11 201617
12 201314
13 202112
14 202310
15 20025
16 19965
17 20234
18 20252
19 20192
20
Evolutionary Dynamics of Mutation and Gene Transfer in Bacteria
20101

About Peter A. Lind

Peter A. Lind is a scholar working on Genetics, Molecular Biology, Sociology and Political Science, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 23 papers that have together received 803 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (17 papers), CRISPR and Genetic Engineering (12 papers), Evolutionary Game Theory and Cooperation (5 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), Bacterial Genetics and Biotechnology (3 papers), Plant and animal studies (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Genetics (398 citations), Molecular Medicine (48 citations), Immunology (142 citations), Molecular Biology (459 citations) and Oncology (119 citations). Peter A. Lind has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Dan I. Andersson, Paul B. Rainey, Andrew D. Farr, Otto G. Berg, Carlos Martínez‐A, José Carlos Gutierrez‐Ramos, Mario Mellado, Gustavo del Real, Eric Libby and C. G. Kurland. Their work appears in journals such as Molecular Biology and Evolution, Proceedings of the National Academy of Sciences, PLoS Genetics, eLife and Nature Communications.

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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