Peter M. Dierks

18 total papers · 1.5k total citations
13 papers, 1.2k citations indexed

About

Peter M. Dierks is a scholar working on Molecular Biology, Animal Science and Zoology and Genetics. According to data from OpenAlex, Peter M. Dierks has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Animal Science and Zoology and 5 papers in Genetics. Recurrent topics in Peter M. Dierks's work include Animal Virus Infections Studies (5 papers), Virus-based gene therapy research (5 papers) and Plant Virus Research Studies (4 papers). Peter M. Dierks is often cited by papers focused on Animal Virus Infections Studies (5 papers), Virus-based gene therapy research (5 papers) and Plant Virus Research Studies (4 papers). Peter M. Dierks collaborates with scholars based in United States and Switzerland. Peter M. Dierks's co-authors include Albert van Ooyen, Charles Weissmann, Mark D. Cochran, Carl Dobkin, Jakob Reiser, Ned Mantei, John Ryals, Hermann Ragg, J. Thomas Parsons and Maureen R. Hanson and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter M. Dierks

13 papers receiving 1.0k citations

Hit Papers

Three regions upstream fr... 1983 2026 1997 2011 1983 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter M. Dierks 846 294 202 133 117 13 1.2k
C. Lagrou 892 1.1× 331 1.1× 291 1.4× 102 0.8× 171 1.5× 19 1.3k
Julie Metcalf 597 0.7× 158 0.5× 191 0.9× 68 0.5× 102 0.9× 14 1.1k
Harvey E. Faber 927 1.1× 306 1.0× 119 0.6× 161 1.2× 83 0.7× 7 1.2k
T Patschinsky 845 1.0× 310 1.1× 200 1.0× 104 0.8× 270 2.3× 27 1.2k
Xian‐Yang Zhang 1.1k 1.2× 422 1.4× 117 0.6× 149 1.1× 138 1.2× 25 1.4k
Robert R. Flandermeyer 603 0.7× 334 1.1× 150 0.7× 89 0.7× 230 2.0× 15 1.2k
S P Staal 954 1.1× 222 0.8× 256 1.3× 35 0.3× 183 1.6× 15 1.4k
Edward B. Jakobovits 1.0k 1.2× 285 1.0× 119 0.6× 168 1.3× 411 3.5× 15 1.4k
Gen Wang 874 1.0× 290 1.0× 255 1.3× 42 0.3× 239 2.0× 12 1.3k
A. Garapin 765 0.9× 450 1.5× 114 0.6× 146 1.1× 115 1.0× 23 1.2k

Countries citing papers authored by Peter M. Dierks

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Dierks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter M. Dierks

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Dierks. A scholar is included among the top collaborators of Peter M. Dierks 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 M. Dierks. Peter M. Dierks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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