Jim Kling

733 citations
58 papers · 521 · h-index 13

Impact in

    • CRISPR and Genetic Engineering
    • Viral Infectious Diseases and Gene Expression in Insects
    • RNA Interference and Gene Delivery

Papers in

Jim Kling

48 papers receiving 487 citations

Peers

Jim Kling
Comparison fields: 5 of 105
  • Molecular Biology 240
  • Biotechnology 29
  • Oncology 77
  • Business and International Management 6
  • Pharmaceutical Science 18
Replace Gaetano Orsini with:
Gaetano Orsini Italy
George S Mack United States
Ioannis Papasotiriou Greece
Earl G. Adams United States
Jia Ding China
Ramziya Kiyamova Russia
Kiyoshi Tachikawa United States
Marianne Mikaelsson Sweden
Rebecca J. Boohaker United States
Leila Mohamed Khosroshahi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Jim Kling

Since Specialization
Citations

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

Fields of papers citing papers by Jim Kling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim Kling. 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 Jim Kling. The network helps show where Jim Kling may publish in the future.

Co-authors

The 12 scholars most cited alongside Jim Kling, 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 Jim Kling Line = papers co-authored together Jim Kling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201251
2 200948
3 200648
4 200839
5 200627
6 201023
7 201620
8 201216
9 200014
10 200514
11 200914
12 200313
13 201413
14 201411
15 200311
16 201110
17 201110
18 201210
19 201110
20 20208

About Jim Kling

Jim Kling is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Reproductive Medicine and Biomedical Engineering, having authored 58 papers that have together received 521 indexed citations. Recurring topics across this work include Science, Research, and Medicine (8 papers), Biotechnology and Related Fields (8 papers), Biomedical Ethics and Regulation (4 papers), CRISPR and Genetic Engineering (4 papers), Nutrition, Genetics, and Disease (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Pharmaceutical Economics and Policy (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Molecular Biology (240 citations), Biotechnology (29 citations), Oncology (77 citations), Business and International Management (6 citations) and Pharmaceutical Science (18 citations). Jim Kling has collaborated with scholars based in United States. Frequent co-authors include Hepeng Jia, Deborah Chyun, Jun–ei Obata, John Fox, Laura DeFrancesco, Greg McPherson, Sheryl A. Kingsberg, Kristin Cole, Stephanie S. Faubion and Chrisandra Shufelt. Their work appears in journals such as Nature Biotechnology, Lab Animal, EMBO Reports, Nature and Science.

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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