Graham E. Naylor

14 papers receiving 854 citations

Peers

Graham E. Naylor
Comparison fields: 5 of 89
  • Agronomy and Crop Science 393
  • Building and Construction 202
  • Ecology, Evolution, Behavior and Systematics 164
  • Paleontology 47
  • Molecular Biology 320
Replace Sumit Singh Dagar with:
Sumit Singh Dagar India
Frances M. C. Gilchrist South Africa
Timothy J. Hackmann United States
Nico Peiren Belgium
Linda D. Baker United States
DJ Cottle Australia
Faith Cox New Zealand
Xin Dai China
A.-D. G. Wright United States
G. D. Cruz United States
Graham E. Naylor relative to Sumit Singh Dagar India Sumit Singh Dagar's profile →
Citations per field
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Sumit Singh Dagar · 1×
Citations per year

Countries citing papers authored by Graham E. Naylor

Since Specialization
Citations

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

Fields of papers citing papers by Graham E. Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham E. Naylor. 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 Graham E. Naylor. The network helps show where Graham E. Naylor may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1999155
2 2004132
3 200796
4 201296
5 199093
6 201174
7 201071
8 200254
9 198933
10 201630
11 199323
12 200211
13 19949
14
Ruminal fungi for increasing forage intake and animal productivity.
20108
15 19783

About Graham E. Naylor

Graham E. Naylor is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Building and Construction, Food Science and Nutrition and Dietetics, having authored 15 papers that have together received 888 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (10 papers), Plant and fungal interactions (4 papers), Anaerobic Digestion and Biogas Production (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Biofuel production and bioconversion (2 papers), Nitrogen and Sulfur Effects on Brassica (2 papers), Fermentation and Sensory Analysis (2 papers) and Microbial infections and disease research (1 paper). The work is most often cited by research in Agronomy and Crop Science (393 citations), Building and Construction (202 citations), Ecology, Evolution, Behavior and Systematics (164 citations), Paleontology (47 citations) and Molecular Biology (320 citations). Graham E. Naylor has collaborated with scholars based in New Zealand, United Kingdom and France. Frequent co-authors include Keith N Joblin, Jack M. Sullivan, David L. Swofford, Peter H. Janssen, A.G. Williams, Paul N. Evans, John P. Koolaard, Sandra Kittelmann, Graeme N. Jarvis and Lucy C. Skillman. Their work appears in journals such as Applied and Environmental Microbiology, Letters in Applied Microbiology, Journal of Applied Animal Research, Animal Feed Science and Technology and Molecular Biology and Evolution.

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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