G.L. Lynch
- Agronomy and Crop Science top 2%
- Ruminant Nutrition and Digestive Physiology 12
- Reproductive Physiology in Livestock 6
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- Neuroscience and Neuropharmacology Research 2
- Genetics top 10%
- Genetic and phenotypic traits in livestock 5
- Animal Science and Zoology top 10%
- Animal Nutrition and Physiology 3
- Nutrition and Dietetics top 10%
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- Phytase and its Applications 3
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- Amino Acid Enzymes and Metabolism 2
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- Molecular Sensors and Ion Detection 2
- Co-authors
- J.H. ClarkD.R. NelsonT.H. KlusmeyerMarkus KesslerM.R. CameronG A RogersAmy AraiG. C. Fahey
- Journals
- Journal of Dairy Science (9 papers)Journal of Animal Science (4 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
G.L. Lynch
21 papers receiving 634 citations
Peers
Comparison fields: 5 of 76
- Agronomy and Crop Science 358
- Cellular and Molecular Neuroscience 127
- Genetics 191
- Animal Science and Zoology 66
- Nutrition and Dietetics 95
Countries citing papers authored by G.L. Lynch
This map shows the geographic impact of G.L. Lynch'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 G.L. Lynch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.L. Lynch more than expected).
Fields of papers citing papers by G.L. Lynch
This network shows the impact of papers produced by G.L. Lynch. 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 G.L. Lynch. The network helps show where G.L. Lynch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G.L. Lynch, 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 | 2024 | 6 | |
| 2 | 2015 | 8 | |
| 3 | 2014 | 103 | |
| 4 | 2008 | 4 | |
| 5 | 2002 | 1 | |
| 6 | 1996 | 93 | |
| 7 | 1993 | 43 | |
| 8 | 1993 | 19 | |
| 9 | 1991 | 70 | |
| 10 | 1991 | 114 | |
| 11 | 1991 | 65 | |
| 12 | 1991 | 29 | |
| 13 | Effects of supplemental starch and urea on rumen fermentation and nutrient flow to the duodenum in lactating Holstein cows fed diets containing fishmeal. | 1990 | 2 |
| 14 | 1988 | 4 | |
| 15 | 1987 | 44 | |
| 16 | 1987 | 5 | |
| 17 | 1987 | 7 | |
| 18 | 1987 | 10 | |
| 19 | 1986 | 7 | |
| 20 | 1983 | 16 |
About G.L. Lynch
G.L. Lynch is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Biochemistry, having authored 21 papers that have together received 688 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (12 papers), Reproductive Physiology in Livestock (6 papers), Genetic and phenotypic traits in livestock (5 papers), Animal Nutrition and Physiology (3 papers), Phytase and its Applications (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Molecular Sensors and Ion Detection (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Agronomy and Crop Science (358 citations), Cellular and Molecular Neuroscience (127 citations) and Genetics (191 citations). G.L. Lynch has collaborated with scholars based in United States, France and Japan. Frequent co-authors include J.H. Clark, D.R. Nelson, T.H. Klusmeyer, Markus Kessler, M.R. Cameron, G A Rogers, Amy Arai, G. C. Fahey, Michel Baudry and Ryan N. Dilger. Their work appears in journals such as Journal of Dairy Science, Journal of Animal Science, Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmacology and British Journal Of Nutrition.
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.