David M. Coons
Impact in
- Small Animals top 10%
- Animal health and immunology
-
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Metabolism, Diabetes, and Cancer
Papers in
-
- Fungal and yeast genetics research 7
- Plant Gene Expression Analysis 3
- Microbial Metabolic Engineering and Bioproduction 2
- DNA Repair Mechanisms 1
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- Animal health and immunology 4
- Co-authors
- Linda F. Bisson (7 shared papers)Arthur L. Kruckeberg (1 shared paper)Deborah Lewis (1 shared paper)Paola Vagnoli (2 shared papers)Marian Carlson (2 shared papers)Roger B. Boulton (1 shared paper)Munashe Chigerwe (4 shared papers)Ludovic Vallier (1 shared paper)
- Journals
- Genetics (3 papers)Yeast (1 paper)Critical Reviews in Biochemistry and Molecular Biology (1 paper)Journal of Bacteriology (1 paper)Livestock Science (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
David M. Coons
11 papers receiving 498 citations
Peers
Comparison fields: 5 of 56
- Small Animals 46
- Molecular Biology 429
- Biochemistry 29
- Cell Biology 65
- Plant Science 145
Countries citing papers authored by David M. Coons
This map shows the geographic impact of David M. Coons'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 David M. Coons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Coons more than expected).
Fields of papers citing papers by David M. Coons
This network shows the impact of papers produced by David M. Coons. 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 David M. Coons. The network helps show where David M. Coons may publish in the future.
Co-authors
The 12 scholars most cited alongside David M. Coons, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 214 | |
| 2 | 1995 | 51 | |
| 3 | 1994 | 48 | |
| 4 | 1997 | 48 | |
| 5 | 1991 | 42 | |
| 6 | 1994 | 41 | |
| 7 | 1998 | 27 | |
| 8 | 2012 | 21 | |
| 9 | 2012 | 17 | |
| 10 | 2013 | 6 | |
| 11 | Quantitative indirect ELISA-based method for the Measurement of serum IgG in springbok calves | 2010 | 5 |
About David M. Coons
David M. Coons is a scholar working on Molecular Biology, Small Animals, Plant Science, Infectious Diseases and Food Science, having authored 11 papers that have together received 520 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), Animal health and immunology (4 papers), Plant Gene Expression Analysis (3 papers), Plant nutrient uptake and metabolism (3 papers), Fermentation and Sensory Analysis (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Small Animals (46 citations), Molecular Biology (429 citations), Biochemistry (29 citations), Cell Biology (65 citations) and Plant Science (145 citations). David M. Coons has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Linda F. Bisson, Arthur L. Kruckeberg, Deborah Lewis, Paola Vagnoli, Marian Carlson, Roger B. Boulton, Munashe Chigerwe, Ludovic Vallier, Lenore Neigeborn and L Marshall-Carlson. Their work appears in journals such as Genetics, Yeast, Critical Reviews in Biochemistry and Molecular Biology, Journal of Bacteriology and Livestock 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.