Jun Yu

1.9k citations
59 papers · 615 · h-index 14

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 581 citations

Peers

Jun Yu
Comparison fields: 5 of 93
  • Physiology 77
  • Reproductive Medicine 122
  • Aquatic Science 48
  • Neurology 99
  • Endocrine and Autonomic Systems 42
Replace Viktoria Johansson with:
Viktoria Johansson Sweden
Kiyoshi Oshima Japan
Matthew D. Taves Canada
H. Heller United Kingdom
Yoshiro Takaoka United States
Barbara K. Evans Australia
Toshiharu Yamamoto Japan
Concetta Lupo Italy
Haruko Uemura Japan
Amy E. Oakley United States
Jun Yu relative to Viktoria Johansson Sweden Viktoria Johansson's profile →
Citations per field
00.5×2.6×
Viktoria Johansson · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 201558
3 198046
4 202136
5 200327
6 200425
7 197323
8 198621
9 197316
10 196516
11 197214
12 200114
13 199313
14 201413
15 199412
16 201511
17 199511
18 200110
19 200210
20 202110

About Jun Yu

Jun Yu is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience, Neurology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 59 papers that have together received 615 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (9 papers), Sperm and Testicular Function (7 papers), Reproductive biology and impacts on aquatic species (6 papers), Neurological disorders and treatments (5 papers), Neuropeptides and Animal Physiology (4 papers), Reproductive Biology and Fertility (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ovarian function and disorders (3 papers). The work is most often cited by research in Physiology (77 citations), Reproductive Medicine (122 citations), Aquatic Science (48 citations), Neurology (99 citations) and Endocrine and Autonomic Systems (42 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, Rachel Neuendorf, Irina Chamine, Chin Hsu, Indrajit Chowdhury, Jun Lu, David Sherman and Clifford B. Saper. Their work appears in journals such as Neurology, Animal Reproduction Science, Journal of Neurochemistry, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology and Frontiers in Neurology.

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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