E.W. Swanson

1.8k citations
70 papers · 1.3k · h-index 19

Impact in

Papers in

E.W. Swanson

67 papers receiving 1.1k citations

Peers

E.W. Swanson
Comparison fields: 5 of 104
  • Agronomy and Crop Science 562
  • Animal Science and Zoology 263
  • Small Animals 166
  • Genetics 319
  • Endocrinology, Diabetes and Metabolism 138
Replace R.G. Cragle with:
R.G. Cragle United States
J.W. Hibbs United States
J.H. Burton Canada
Jacques Dufour Canada
M.D. Holland United States
T. G. Jenkins United States
B. F. Sansom United States
Charles R. Wallace United States
Katsuya KIDA Japan
Márcio Nunes Corrêa Brazil
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Citations per field
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Citations per year

Countries citing papers authored by E.W. Swanson

Since Specialization
Citations

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

Fields of papers citing papers by E.W. Swanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1960100
2 195183
3 196575
4 195872
5 197964
6 197563
7 195355
8 196751
9 195750
10 197739
11 199038
12 195334
13 196532
14 196729
15 197223
16 197323
17 195722
18 197422
19 195721
20 196318

About E.W. Swanson

E.W. Swanson is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Endocrinology, Diabetes and Metabolism, Genetics and Small Animals, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (17 papers), Thyroid Disorders and Treatments (9 papers), Genetic and phenotypic traits in livestock (8 papers), Ruminant Nutrition and Digestive Physiology (7 papers), Effects of Environmental Stressors on Livestock (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Animal health and immunology (5 papers) and Food Industry and Aquatic Biology (4 papers). The work is most often cited by research in Agronomy and Crop Science (562 citations), Animal Science and Zoology (263 citations), Small Animals (166 citations), Genetics (319 citations) and Endocrinology, Diabetes and Metabolism (138 citations). E.W. Swanson has collaborated with scholars based in United States. Frequent co-authors include J.K. Miller, H.J. Bearden, F.W. Lengemann, R. A. Monroe, R.G. Cragle, C. L. Comar, Willard J. Visek, Susan A. Hinton, B.R. Moss and Daniel G. Brown. Their work appears in journals such as Journal of Dairy Science, Journal of Animal Science, Journal of Nutrition, Endocrinology and Experimental Biology and Medicine.

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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