Nathan Long

2.8k citations
101 papers · 2.4k · h-index 29

Impact in

Papers in

Nathan Long

95 papers receiving 2.3k citations

Peers

Nathan Long
Comparison fields: 5 of 110
  • Obstetrics and Gynecology 586
  • Agronomy and Crop Science 768
  • Pediatrics, Perinatology and Child Health 1.1k
  • Animal Science and Zoology 341
  • Small Animals 196
Replace C.J. Hammer with:
C.J. Hammer United States
Harold G. Klemcke United States
Hongping Zhang China
C. Hernández Spain
Jan P.W. Vermeiden Netherlands
Beran Yokuş Türkiye
Angela Polisca Italy
W. C. Wagner United States
Raffaele Luigi Sciorsci Italy
M. Khalid United Kingdom
Nathan Long relative to C.J. Hammer United States C.J. Hammer's profile →
Citations per field
00.5×3.8×
C.J. Hammer · 1×
Citations per year

Countries citing papers authored by Nathan Long

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Long. 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 Nathan Long. The network helps show where Nathan Long may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010151
2 2005123
3 2010114
4 2009108
5 2011102
6 201291
7 201081
8 201178
9 201074
10 201173
11 201170
12 201066
13 201464
14 201061
15 201357
16 201257
17 201254
18 201449
19 201046
20 201643

About Nathan Long

Nathan Long is a scholar working on Agronomy and Crop Science, Pediatrics, Perinatology and Child Health, Genetics, Obstetrics and Gynecology and Animal Science and Zoology, having authored 101 papers that have together received 2.4k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (41 papers), Birth, Development, and Health (33 papers), Ruminant Nutrition and Digestive Physiology (23 papers), Genetic and phenotypic traits in livestock (18 papers), Gestational Diabetes Research and Management (13 papers), Effects of Environmental Stressors on Livestock (11 papers), Adipose Tissue and Metabolism (10 papers) and Pregnancy and preeclampsia studies (8 papers). The work is most often cited by research in Obstetrics and Gynecology (586 citations), Agronomy and Crop Science (768 citations), Pediatrics, Perinatology and Child Health (1.1k citations), Animal Science and Zoology (341 citations) and Small Animals (196 citations). Nathan Long has collaborated with scholars based in United States, Argentina and Uruguay. Frequent co-authors include Stephen P. Ford, Peter W. Nathanielsz, ‬Min Du, Derek T. Smith, Yan Ma, Lindsey A. George, Bazhang Yu, Yvonne Moussy, Francis Moussy and R. P. Wettemann. Their work appears in journals such as Journal of Animal Science, Theriogenology, Domestic Animal Endocrinology, Biology of Reproduction and Animals.

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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