Yingcong Yu

928 citations
22 papers · 666 · h-index 13

Impact in

Papers in

Yingcong Yu

22 papers receiving 654 citations

Peers

Yingcong Yu
Comparison fields: 5 of 83
  • Biological Psychiatry 112
  • Geriatrics and Gerontology 66
  • Behavioral Neuroscience 65
  • Gastroenterology 72
  • Neurology 101
Replace Nejat Gacar with:
Nejat Gacar Türkiye
Udayabanu Malairaman India
Kyonghwan Choe Netherlands
Jin‐Seok Lee South Korea
Gaowen Li China
Philip A. Barish United States
Yun Yuan China
Fiorella Sarubbo Spain
Michelle Lima Garcez Brazil
Ruile Pan China
Yingcong Yu relative to Nejat Gacar Türkiye Nejat Gacar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yingcong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yingcong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yingcong 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 Yingcong Yu Line = papers co-authored together Yingcong Yu 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 201694
2 201292
3 201971
4 201563
5 201459
6 200646
7 201345
8 201040
9 201840
10 202423
11 201623
12 202022
13 202116
14 202110
15 20177
16 20254
17 20253
18
Role of brain-derived neurotrophic factor in the molecular neurobiology of major depressive disorder.
20173
19 20232
20 20251

About Yingcong Yu

Yingcong Yu is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Biological Psychiatry and Complementary and alternative medicine, having authored 22 papers that have together received 666 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Nerve injury and regeneration (4 papers), Tryptophan and brain disorders (4 papers), Gastrointestinal motility and disorders (3 papers), Phosphodiesterase function and regulation (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Medicinal Plants and Neuroprotection (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Biological Psychiatry (112 citations), Geriatrics and Gerontology (66 citations), Behavioral Neuroscience (65 citations), Gastroenterology (72 citations) and Neurology (101 citations). Yingcong Yu has collaborated with scholars based in China and United States. Frequent co-authors include Ying Xu, Jianchun Pan, James M. O’Donnell, Ning Kang, Jian Kang, Meixi Zhang, Shujie Chen, Fan Wu, Ling Chen and Liang Zheng. Their work appears in journals such as Neuropharmacology, Neuroscience, Journal of Zhejiang University SCIENCE B, Pharmaceutical Biology and Current Topics in Medicinal Chemistry.

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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