Jonathan K. Trautman

2.8k total citations · 1 hit paper
18 papers, 2.1k citations indexed

About

Jonathan K. Trautman is a scholar working on Molecular Biology, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jonathan K. Trautman has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Plant Science and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jonathan K. Trautman's work include CRISPR and Genetic Engineering (10 papers), DNA Repair Mechanisms (8 papers) and Chromosomal and Genetic Variations (6 papers). Jonathan K. Trautman is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), DNA Repair Mechanisms (8 papers) and Chromosomal and Genetic Variations (6 papers). Jonathan K. Trautman collaborates with scholars based in United States and United Kingdom. Jonathan K. Trautman's co-authors include Dana Carroll, Kelly J. Beumer, Marina Bibikova, David J. Segal, Jeff Smith, Yang‐Gyun Kim, Srinivasan Chandrasegaran, Ana Bozas, Gargi Bhattacharyya and Chris W. Lehman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jonathan K. Trautman

18 papers receiving 2.1k citations

Hit Papers

Enhancing Gene Targeting with Designed Zinc Finger Nucleases 2003 2026 2010 2018 2003 200 400 600

Peers

Jonathan K. Trautman
Comparison fields: 5 of 89
  • Molecular Biology 2.0k
  • Genetics 475
  • Plant Science 438
  • Aging 181
  • Insect Science 169
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Citations per field, relative to Jonathan K. Trautman
Jonathan K. Trautman · 1×
Citations per year, relative to Jonathan K. Trautman
Jonathan K. Trautman · 1×

Countries citing papers authored by Jonathan K. Trautman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan K. Trautman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan K. Trautman. 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 Jonathan K. Trautman. The network helps show where Jonathan K. Trautman may publish in the future.

Co-authorship network of co-authors of Jonathan K. Trautman

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 143
2 56
3 103
4 10
5 93
6 40
7 213
8 182
9
Enhancing Gene Targeting with Designed Zinc Finger Nucleases breakdown →
630
10 455
11 12
12 13
13 58
14 12
15 43
16 28
17 20
18 13

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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