Jun Yu

2.0k citations
69 papers · 654 · h-index 13

Impact in

  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species
    • Hypothalamic control of reproductive hormones
    • Sperm and Testicular Function

Papers in

Jun Yu

57 papers receiving 607 citations

Peers

Jun Yu
Comparison fields: 5 of 90
  • Physiology 84
  • Reproductive Medicine 119
  • Endocrine and Autonomic Systems 46
  • Aquatic Science 52
  • Neurology 94
Replace M Igarashi with:
M Igarashi Japan
Kiyoshi Oshima Japan
Kerry Hull Canada
Matthew D. Taves Canada
Paula Pitta de Resende Côrtes Brazil
H. Wartenberg Germany
Erin MacDonald Canada
Yoshiro Takaoka United States
B. Walles Sweden
Warren K. Yunker Canada
Jun Yu relative to M Igarashi Japan M Igarashi's profile →
Citations per field
00.5×10.2×
M Igarashi · 1×
Citations per year

Countries citing papers authored by Jun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201581
2 201567
3 198053
4 202138
5 200332
6 200430
7 197324
8 196517
9 197316
10 200114
11 197214
12 199314
13 201413
14 200412
15 201512
16 199412
17 199512
18 201611
19 200111
20 200211

About Jun Yu

Jun Yu is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience, Neurology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 69 papers that have together received 654 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (9 papers), Sperm and Testicular Function (6 papers), Neurological disorders and treatments (5 papers), Reproductive biology and impacts on aquatic species (5 papers), Neuropeptides and Animal Physiology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Physiology (84 citations), Reproductive Medicine (119 citations), Endocrine and Autonomic Systems (46 citations), Aquatic Science (52 citations) and Neurology (94 citations). Jun Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include R.R. Marquardt, Helané Wahbeh, Barry Oken, Irina Chamine, Rachel Neuendorf, Indrajit Chowdhury, Patrick M. Fuller, William J. Bremner, Nancy L. Chamberlin and Chin Hsu. Their work appears in journals such as Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Neurology, Journal of Stroke and Cerebrovascular Diseases, Frontiers in Neurology and Animal Reproduction Science.

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.

Explore authors with similar magnitude of impact