Zhenwang Fu

1.2k citations
16 papers · 873 · 1 hit paper · h-index 13

Impact in

Papers in

Zhenwang Fu

16 papers receiving 861 citations

Zhenwang Fu's Hit Papers

Mortality and recurrent vascular events after first incident stroke: a 9-year community-based study of 0·5 million Chinese adults 2020 · 234 citations
2340+2+4Years since publication50100150200

Peers

Zhenwang Fu
Comparison fields: 5 of 94
  • Pollution 76
  • Cardiology and Cardiovascular Medicine 133
  • Epidemiology 155
  • Health, Toxicology and Mutagenesis 67
  • Neurology 63
Replace Rajani Sohoni with:
Rajani Sohoni United Kingdom
Garry Lancaster United Kingdom
Zhe Qiu United Kingdom
Shukuan Wu United Kingdom
Yaoming Zhai United Kingdom
Liqiu Yang United Kingdom
Ningyu Chen United Kingdom
Zhongxi Fu China
Paul Ryder United Kingdom
Huifang Wu China
Zhenwang Fu relative to Rajani Sohoni United Kingdom Rajani Sohoni's profile →
Citations per field
00.5×1.5×
Rajani Sohoni · 1×
Citations per year

Countries citing papers authored by Zhenwang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenwang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Zhenwang Fu, 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 Zhenwang Fu Line = papers co-authored together Zhenwang Fu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Mortality and recurrent vascular events after first incident stroke: a 9-year community-based study of 0·5 million Chinese adults
Hit paper breakdown →
2020234
2 2018137
3 2020107
4 201878
5 201871
6 201767
7 201757
8 202327
9 201917
10 202417
11 202216
12 202114
13 202314
14 201710
15 20236
16 20251

About Zhenwang Fu

Zhenwang Fu is a scholar working on Experimental and Cognitive Psychology, Epidemiology, Oncology, Pollution and Health, Toxicology and Mutagenesis, having authored 16 papers that have together received 873 indexed citations. Recurring topics across this work include Sleep and related disorders (2 papers), Epigenetics and DNA Methylation (2 papers), Acute Ischemic Stroke Management (2 papers), COVID-19 Clinical Research Studies (1 paper), Energy and Environment Impacts (1 paper), Cardiovascular Function and Risk Factors (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Pollution (76 citations), Cardiology and Cardiovascular Medicine (133 citations), Epidemiology (155 citations), Health, Toxicology and Mutagenesis (67 citations) and Neurology (63 citations). Zhenwang Fu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Zheng Bian, Zhengming Chen, Canqing Yu, Yu Guo, Xiaoyan Sun, Jun Lv, Yiping Chen, Ling Yang, Hong Guo and Bang Zheng. Their work appears in journals such as The Lancet Global Health, Journal of the American Heart Association, Circulation Research, Stroke and Clinical Epigenetics.

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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