Yu Ren

500 citations
22 papers · 383 · h-index 10

Impact in

Papers in

Yu Ren

20 papers receiving 374 citations

Peers

Yu Ren
Comparison fields: 5 of 83
  • Reproductive Medicine 97
  • Public Health, Environmental and Occupational Health 142
  • Aging 7
  • Biological Psychiatry 6
  • Endocrine and Autonomic Systems 15
Replace Chongyang Wu with:
Chongyang Wu China
Pavol Rehák Slovakia
Kang-Jin Jeong South Korea
Nadine Bouchard Canada
Michal Kraus Czechia
Shuxiong Chen China
Wenjie Jiang China
Alvaro Miró-Morán Spain
LU Ke-huan China
Shengsheng Lu China
Yu Ren relative to Chongyang Wu China Chongyang Wu's profile →
Citations per field
00.5×1.5×
Chongyang Wu · 1×
Citations per year

Countries citing papers authored by Yu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200988
2 201575
3 201758
4 201920
5 201818
6 202116
7 202215
8 202215
9 202312
10 202310
11 20229
12 20229
13 20228
14 20227
15 20226
16 20205
17 20214
18 20244
19 20223
20 20161

About Yu Ren

Yu Ren is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Animal Science and Zoology, Neurology and Physiology, having authored 22 papers that have together received 383 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (4 papers), Reproductive Biology and Fertility (4 papers), Animal Nutrition and Physiology (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Bioactive Natural Diterpenoids Research (2 papers), Biological Activity of Diterpenoids and Biflavonoids (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Reproductive Medicine (97 citations), Public Health, Environmental and Occupational Health (142 citations), Aging (7 citations), Biological Psychiatry (6 citations) and Endocrine and Autonomic Systems (15 citations). Yu Ren has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Hitomi Suzuki, Aleksandar Rajkovic, Vassilis Pachnis, Krishna Jagarlamudi, Megan McGuire, Aleksandar Rajkovic, Hyo Won Ahn, Vasil Mico, Junling Yang and Shaoyang Ji. Their work appears in journals such as Poultry Science, IEEE Transactions on Circuits and Systems for Video Technology, Cell Death Discovery, Endocrinology and Biochemical and Biophysical Research Communications.

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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