J. E. Oliver

16 papers receiving 817 citations

Peers

J. E. Oliver
Comparison fields: 5 of 52
  • Genetics 529
  • Reproductive Medicine 174
  • Agronomy and Crop Science 86
  • Public Health, Environmental and Occupational Health 103
  • Physiology 9
Replace Dárcio Ítalo Alves Teixeira with:
Dárcio Ítalo Alves Teixeira Brazil
J.P. Renard France
Hakan Sağırkaya Türkiye
Sándor Cseh Hungary
Rodney J. Ashman Australia
J.H.G. den Daas Netherlands
Ríbrio Ivan Tavares Pereira Batista Brazil
Tiago Henrique Camara De Brazil
Parvaneh Abedi Iran
Mitsugu HISHINUMA Japan
J. E. Oliver relative to Dárcio Ítalo Alves Teixeira Brazil Dárcio Ítalo Alves Teixeira's profile →
Citations per field
00.5×2×3×4.4×
Dárcio Ítalo Alves Teixeira · 1×
Citations per year

Countries citing papers authored by J. E. Oliver

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2001250
2 2002144
3 2003129
4 2004105
5 199485
6 199756
7 199628
8 199526
9 199920
10 200220
11 199111
12
Effect of physical parameters on ram spermatozoal motility
19928
13 20112
14 20152
15 20162
16 20121
17 20120

About J. E. Oliver

J. E. Oliver is a scholar working on Reproductive Medicine, Genetics, Agronomy and Crop Science, Analytical Chemistry and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 889 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (9 papers), Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (2 papers), Epigenetics and DNA Methylation (1 paper), Analytical chemistry methods development (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Reproductive Physiology in Livestock (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Genetics (529 citations), Reproductive Medicine (174 citations), Agronomy and Crop Science (86 citations), Public Health, Environmental and Occupational Health (103 citations) and Physiology (9 citations). J. E. Oliver has collaborated with scholars based in New Zealand, United States and Netherlands. Frequent co-authors include David N. Wells, Girish C. Upreti, D. Herrmann, C. Wrenzycki, Hendrik J. Niemann, Steven R. Payne, H. Robin Tervit, Björn J. Oback, Götz Laible and Jacqui T. Forsyth. Their work appears in journals such as Reproduction Fertility and Development, Animal Reproduction Science, Biology of Reproduction, Cryobiology and Analytical Biochemistry.

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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