Renhe Yu

410 citations
23 papers · 272 · h-index 11

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

Renhe Yu

23 papers receiving 268 citations

Peers

Renhe Yu
Comparison fields: 5 of 72
  • Neurology 108
  • Hepatology 19
  • Cellular and Molecular Neuroscience 35
  • Cell Biology 28
  • Neurology 14
Replace Julia Gräf with:
Julia Gräf Germany
John Howard United States
Laura Collimedaglia Italy
Nam‐Hee Kim South Korea
Marcus Vinícius Magno Gonçalves Brazil
Ahmed K. Bamaga Saudi Arabia
Jay B. Lusk United States
Chae Young Kim South Korea
Nadja Maria Jorge Asano Brazil
David Curtis United States
Renhe Yu relative to Julia Gräf Germany Julia Gräf's profile →
Citations per field
00.5×3.2×
Julia Gräf · 1×
Citations per year

Countries citing papers authored by Renhe Yu

Since Specialization
Citations

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

Fields of papers citing papers by Renhe Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Renhe 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 Renhe Yu Line = papers co-authored together Renhe Yu 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 201040
2 201030
3 201329
4 201524
5 201922
6
Short-term entecavir therapy of chronic severe hepatitis B.
200921
7 201117
8 201914
9 201713
10 201911
11 201911
12 20198
13 20187
14 20226
15 20234
16 20244
17 20222
18 20202
19 20112
20 20072

About Renhe Yu

Renhe Yu is a scholar working on Neurology, Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience, Epidemiology and Surgery, having authored 23 papers that have together received 272 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Neurological disorders and treatments (3 papers), Nuclear Receptors and Signaling (3 papers), Injury Epidemiology and Prevention (3 papers), Health Promotion and Cardiovascular Prevention (2 papers), Mobile Health and mHealth Applications (2 papers), Musculoskeletal pain and rehabilitation (2 papers) and Congenital Ear and Nasal Anomalies (1 paper). The work is most often cited by research in Neurology (108 citations), Hepatology (19 citations), Cellular and Molecular Neuroscience (35 citations), Cell Biology (28 citations) and Neurology (14 citations). Renhe Yu has collaborated with scholars based in China and United States. Frequent co-authors include Jifeng Guo, Beisha Tang, Qiying Sun, Xinxiang Yan, Kun Xia, Qian Pan, Lingyan Yao, Yuan Zhang, Yang Yang and Jing Deng. Their work appears in journals such as JMIR mhealth and uhealth, BMC Nursing, Movement Disorders, Brain Research and Journal of Advanced Nursing.

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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