Fang‐Fei Wei

3.1k citations
105 papers · 1.7k · h-index 24

Impact in

Papers in

Fang‐Fei Wei

102 papers receiving 1.7k citations

Peers

Fang‐Fei Wei
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 756
  • Nutrition and Dietetics 234
  • Health, Toxicology and Mutagenesis 184
  • Nephrology 87
  • Endocrinology, Diabetes and Metabolism 106
Replace Yu Jin with:
Yu Jin Belgium
Yingqing Feng China
Rudolph Schutte South Africa
Antoinette Péchère-Bertschi Switzerland
Lars Lind Sweden
Qi‐Fang Huang China
José Boggia Uruguay
Moshe Garty Israel
Azra Mahmud Ireland
Sally C. Howard United Kingdom
Fang‐Fei Wei relative to Yu Jin Belgium Yu Jin's profile →
Citations per field
00.5×2×3×3.5×
Yu Jin · 1×
Citations per year

Countries citing papers authored by Fang‐Fei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Fei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang‐Fei Wei. 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 Fang‐Fei Wei. The network helps show where Fang‐Fei Wei may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014111
2 201472
3 201162
4 201356
5 201455
6 201753
7 202050
8 201644
9 201340
10 201839
11 201939
12 201538
13 201537
14 201737
15 201637
16 201736
17 201335
18 201734
19 201732
20 201827

About Fang‐Fei Wei

Fang‐Fei Wei is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Nephrology, having authored 105 papers that have together received 1.7k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (25 papers), Cardiovascular Health and Disease Prevention (22 papers), Cardiovascular Function and Risk Factors (17 papers), Heart Rate Variability and Autonomic Control (10 papers), Retinal Imaging and Analysis (8 papers), Heavy Metal Exposure and Toxicity (8 papers), Vitamin K Research Studies (8 papers) and Heart Failure Treatment and Management (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (756 citations), Nutrition and Dietetics (234 citations), Health, Toxicology and Mutagenesis (184 citations), Nephrology (87 citations) and Endocrinology, Diabetes and Metabolism (106 citations). Fang‐Fei Wei has collaborated with scholars based in Belgium, China and Netherlands. Frequent co-authors include Jan A. Staessen, Lutgarde Thijs, Zhen‐Yu Zhang, Wen‐Yi Yang, Yan Li, Peter Verhamme, Qi‐Fang Huang, Tatiana Kuznetsova, Ji‐Guang Wang and Ji‐Guang Wang. Their work appears in journals such as Hypertension, Journal of Hypertension, Journal of the American Heart Association, Hypertension Research and American Journal of Hypertension.

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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