Cong Ouyang

23 papers receiving 417 citations

Cong Ouyang's Hit Papers

Plasma p‐tau217 and p‐tau217/Aβ1‐42 are effective biomarkers for identifying CSF‐ and PET imaging‐diagnosed Alzheimer's disease: Insights for research and clinical practice 2025 · 39 citations
390Years since publication102030

Peers

Cong Ouyang
Comparison fields: 5 of 76
  • Sensory Systems 49
  • Drug Discovery 2
  • Psychiatry and Mental health 97
  • Biological Psychiatry 6
  • Cancer Research 34
Replace Rita La Rovere with:
Rita La Rovere Belgium
Printha Wijesinghe Canada
Alejandro O. Sodero Argentina
Lixia Yang China
Shin Murai Japan
Wenjuan Han China
Clare H Latta United Kingdom
Sarah Louise Christensen Denmark
Austin M. Baggetta United States
Michael Morici Australia
Cong Ouyang relative to Rita La Rovere Belgium Rita La Rovere's profile →
Citations per field
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Rita La Rovere · 1×
Citations per year

Countries citing papers authored by Cong Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201842
2 202040
3
Plasma p‐tau217 and p‐tau217/Aβ1‐42 are effective biomarkers for identifying CSF‐ and PET imaging‐diagnosed Alzheimer's disease: Insights for research and clinical practice
Hit paper breakdown →
202539
4 201736
5 202132
6 202024
7 201823
8 201823
9 202221
10 202321
11 202020
12 202017
13 201812
14 202012
15 202412
16 202310
17 20188
18 20238
19 20217
20 20195

About Cong Ouyang

Cong Ouyang is a scholar working on Psychiatry and Mental health, Cancer Research, Physiology, Sensory Systems and Biochemistry, having authored 23 papers that have together received 423 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Alzheimer's disease research and treatments (4 papers), Cancer, Lipids, and Metabolism (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Gut microbiota and health (2 papers), Olfactory and Sensory Function Studies (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Sensory Systems (49 citations), Drug Discovery (2 citations), Psychiatry and Mental health (97 citations), Biological Psychiatry (6 citations) and Cancer Research (34 citations). Cong Ouyang has collaborated with scholars based in China and United States. Frequent co-authors include Xiaomei Zhong, Naikeng Mai, Yuping Ning, Zhangying Wu, Weiru Zhang, Ben Chen, Weiru Zhang, Ben Chen, Xinru Chen and Qidong Li. Their work appears in journals such as Journal of Alzheimer s Disease, Alzheimer s & Dementia, Journal of Affective Disorders, eLife and Frontiers in Aging Neuroscience.

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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