Jon R. Daugherty

956 citations
18 papers · 830 · h-index 15

Impact in

    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Polyamine Metabolism and Applications
    • Genomics and Chromatin Dynamics

Papers in

Jon R. Daugherty

18 papers receiving 811 citations

Peers

Jon R. Daugherty
Comparison fields: 5 of 70
  • Molecular Biology 540
  • Anesthesiology and Pain Medicine 28
  • Public Health, Environmental and Occupational Health 144
  • Geriatrics and Gerontology 13
  • Food Science 59
Replace Tatsuya Fukasawa with:
Tatsuya Fukasawa Japan
Yuwen Wang China
Klaus Schweizer Germany
Rahul Gupta India
P. Thomann Switzerland
Betina Orman Argentina
Tomomi Kobayashi Japan
K. B. MATHUR India
Anamika Anamika India
Aaron J. Carman United States
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Citations per field
00.5×10.3×
Tatsuya Fukasawa · 1×
Citations per year

Countries citing papers authored by Jon R. Daugherty

Since Specialization
Citations

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

Fields of papers citing papers by Jon R. Daugherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon R. Daugherty. 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 Jon R. Daugherty. The network helps show where Jon R. Daugherty may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1992126
2 1993120
3 199287
4 200071
5 199170
6 199167
7 200063
8 199135
9 199132
10 199130
11 199824
12 199523
13 199723
14 200122
15 200018
16 20049
17 19999
18 19911

About Jon R. Daugherty

Jon R. Daugherty is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Plant Science and Food Science, having authored 18 papers that have together received 830 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (12 papers), RNA and protein synthesis mechanisms (5 papers), Malaria Research and Control (4 papers), Mosquito-borne diseases and control (3 papers), Fermentation and Sensory Analysis (2 papers), Plant nutrient uptake and metabolism (2 papers), Complement system in diseases (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Molecular Biology (540 citations), Anesthesiology and Pain Medicine (28 citations), Public Health, Environmental and Occupational Health (144 citations), Geriatrics and Gerontology (13 citations) and Food Science (59 citations). Jon R. Daugherty has collaborated with scholars based in United States, Austria and South Africa. Frequent co-authors include Terrance Cooper, Rajendra Rai, Marie R. Griffin, Wayne A. Ray, Ronald I. Shorr, David E. Lanar, Manuel Simon, Andreas Hartig, Hyang Sook Yoo and Tillman Schuster. Their work appears in journals such as Journal of Bacteriology, Yeast, Journal of Biological Chemistry, Molecular and Cellular Biology and Infection and Immunity.

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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