Jeffrey M. Perkel

3.4k total citations · 1 hit paper
144 papers, 2.1k citations indexed

About

Jeffrey M. Perkel is a scholar working on Molecular Biology, Biomedical Engineering and Information Systems and Management. According to data from OpenAlex, Jeffrey M. Perkel has authored 144 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 14 papers in Biomedical Engineering and 12 papers in Information Systems and Management. Recurrent topics in Jeffrey M. Perkel's work include Genetics, Bioinformatics, and Biomedical Research (21 papers), CRISPR and Genetic Engineering (14 papers) and Scientific Computing and Data Management (12 papers). Jeffrey M. Perkel is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (21 papers), CRISPR and Genetic Engineering (14 papers) and Scientific Computing and Data Management (12 papers). Jeffrey M. Perkel collaborates with scholars based in United States and Australia. Jeffrey M. Perkel's co-authors include Richard Van Noorden, Michael L. Atchison, Holly Else, Sudha Srinivasan, Robert L. Nussbaum, David L. Nelson, Ichiro Okabe, Olivier Attree, Marian Carlson and L. Charles Bailey and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Jeffrey M. Perkel

135 papers receiving 2.0k citations

Hit Papers

AI and science: what 1,600 researchers think 2023 2026 2024 2025 2023 40 80 120

Peers

Jeffrey M. Perkel
Comparison fields: 5 of 197
  • Molecular Biology 793
  • Cancer Research 246
  • Information Systems and Management 237
  • Biomedical Engineering 229
  • Artificial Intelligence 208
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Michael D. Linderman United States View profile →
Citations per field, relative to Jeffrey M. Perkel
Jeffrey M. Perkel · 1×
Citations per year, relative to Jeffrey M. Perkel
Jeffrey M. Perkel · 1×

Countries citing papers authored by Jeffrey M. Perkel

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Perkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey M. Perkel

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Perkel. A scholar is included among the top collaborators of Jeffrey M. Perkel 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 Jeffrey M. Perkel. Jeffrey M. Perkel 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
# Work Indexed citations
1 1
2
AI and science: what 1,600 researchers think breakdown →
143
3 3
4 1
5 1
6 44
7 1
8 2
9 2
10 12
11 173
12 1
13 1
14 3
15 1
16 1
17 1
18 0
19 3
20 73

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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