Weiyi Tan

789 citations
28 papers · 495 · h-index 9

Impact in

    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research

Papers in

Weiyi Tan

25 papers receiving 474 citations

Peers

Weiyi Tan
Comparison fields: 5 of 68
  • Infectious Diseases 179
  • Endocrinology 45
  • Food Science 81
  • Epidemiology 127
  • Neurology 48
Replace Amir Nutman with:
Amir Nutman Israel
Valentina Zuccaro Italy
Sanjay Singhal India
Maxime Hentzien France
Miri Hyun South Korea
Placido Mondello Italy
Florian Hitzenbichler Germany
Mathieu Blot France
Dolores J. Katz United States
Mohsen Rezaei Hemami‬ Iran
Weiyi Tan relative to Amir Nutman Israel Amir Nutman's profile →
Citations per field
00.5×11.6×
Amir Nutman · 1×
Citations per year

Countries citing papers authored by Weiyi Tan

Since Specialization
Citations

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

Fields of papers citing papers by Weiyi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020197
2
Efficacy trial of Vi polysaccharide vaccine against typhoid fever in south-western China.
2001102
3 201149
4 202021
5 202120
6 202013
7 202010
8 20219
9 20179
10 20197
11 20196
12 20206
13 20236
14 20215
15 20215
16 20224
17 20224
18 20184
19 20254
20 20223

About Weiyi Tan

Weiyi Tan is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 28 papers that have together received 495 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (9 papers), Cardiac Valve Diseases and Treatments (6 papers), Infective Endocarditis Diagnosis and Management (5 papers), Cardiovascular and Diving-Related Complications (4 papers), Coronary Artery Anomalies (4 papers), COVID-19 and healthcare impacts (3 papers), Transplantation: Methods and Outcomes (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). The work is most often cited by research in Infectious Diseases (179 citations), Endocrinology (45 citations), Food Science (81 citations), Epidemiology (127 citations) and Neurology (48 citations). Weiyi Tan has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jamil Aboulhosn, Beth Quinn, Emmanuel B. Walter, Anthony J. Viera, Gentian Lluri, June Wang, Guomin Xie, Yanhong Yang, Zhe Ding and Marcella Calfon Press. Their work appears in journals such as Catheterization and Cardiovascular Interventions, International Journal of Cardiology, The American Journal of Cardiology, Circulation Cardiovascular Imaging and Seminars in Thoracic and Cardiovascular Surgery Pediatric Cardiac Surgery Annual.

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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