Yan Yan Wu

91 papers receiving 1.0k citations

Peers

Yan Yan Wu
Comparison fields: 5 of 143
  • Health 127
  • Geriatrics and Gerontology 54
  • Periodontics 53
  • Critical Care and Intensive Care Medicine 56
  • Physical Therapy, Sports Therapy and Rehabilitation 43
Replace Natalia Gouskova with:
Natalia Gouskova United States
Binod Kumar Patro India
Lee Jones Australia
Alexandre Dias Porto Chiavegatto Filho Brazil
Shu‐Fang Vivienne Wu Taiwan
Anja Frei Switzerland
Christina Bell United States
Hyun J. Lim Canada
Siew Pang Chan Singapore
Julia Braun Switzerland
Yan Yan Wu relative to Natalia Gouskova United States Natalia Gouskova's profile →
Citations per field
00.5×
Natalia Gouskova · 1×
Citations per year

Countries citing papers authored by Yan Yan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201368
2 201947
3 201344
4 201235
5 201733
6 201331
7 201930
8 201730
9 201729
10 201729
11 201427
12 201927
13 201624
14 201723
15
Effects of the novel 6% hydroxyethyl starch 130/0.4 on renal function of recipients in living-related kidney transplantation.
201022
16 201721
17 201821
18 201821
19 201721
20 202120

About Yan Yan Wu

Yan Yan Wu is a scholar working on Health, Epidemiology, Public Health, Environmental and Occupational Health, General Health Professions and Physiology, having authored 97 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health disparities and outcomes (18 papers), Obesity, Physical Activity, Diet (9 papers), Dental Health and Care Utilization (7 papers), Cardiovascular Health and Risk Factors (7 papers), Genetic Associations and Epidemiology (6 papers), Birth, Development, and Health (6 papers), Nutritional Studies and Diet (5 papers) and Physical Activity and Health (5 papers). The work is most often cited by research in Health (127 citations), Geriatrics and Gerontology (54 citations), Periodontics (53 citations), Critical Care and Intensive Care Medicine (56 citations) and Physical Therapy, Sports Therapy and Rehabilitation (43 citations). Yan Yan Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wei Zhang, Laurent Briollais, Stephen J. Lye, Kathryn L. Braun, Bei Wu, Catherine M. Pirkle, Colette V. Browne, Craig E. Pennell, Nicole M. Warrington and Afshin Vafaei. Their work appears in journals such as Journal of Aging and Health, Preventing Chronic Disease, Journal of the American Heart Association, Innovation in Aging and PLoS ONE.

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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