Huawei Tan

9.0k citations
29 papers · 6.1k · 1 hit paper · h-index 15

Impact in

Papers in

Huawei Tan

27 papers receiving 5.9k citations

Huawei Tan's Hit Papers

Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019 2020 · 5.6k citations
5.6k0+2+4Years since publication10002.0k3.0k4.0k5.0k

Peers

Huawei Tan
Comparison fields: 5 of 147
  • Clinical Psychology 3.7k
  • General Health Professions 1.7k
  • Applied Psychology 200
  • General Dentistry 63
  • Occupational Therapy 157
Replace Huafen Wang with:
Huafen Wang China
Hui Du China
Md Mahbub Hossain United States
Aliakbar Vaisi-Raygani Iran
Mohammed A. Mamun Bangladesh
Abida Sultana Bangladesh
Mahua Jana Dubey India
Bao‐Liang Zhong China
Salma M. Abdalla United States
Charlotte Hanlon Ethiopia
Huawei Tan relative to Huafen Wang China Huafen Wang's profile →
Citations per field
00.5×4.1×
Huafen Wang · 1×
Citations per year

Countries citing papers authored by Huawei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019
Hit paper breakdown →
20205570
2 201670
3 202063
4 201460
5 201450
6 201546
7 201625
8 202224
9 201424
10 201523
11 201522
12 201621
13 201520
14 201420
15 201419
16 201611
17 20219
18 20247
19 20226
20 20093

About Huawei Tan

Huawei Tan is a scholar working on Plant Science, Molecular Biology, Genetics, Clinical Psychology and Finance, having authored 29 papers that have together received 6.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (4 papers), Healthcare Systems and Reforms (4 papers), Genetic diversity and population structure (4 papers), COVID-19 and Mental Health (3 papers), Cocoa and Sweet Potato Agronomy (3 papers), Chromosomal and Genetic Variations (3 papers), Plant Virus Research Studies (3 papers) and Tea Polyphenols and Effects (3 papers). The work is most often cited by research in Clinical Psychology (3.7k citations), General Health Professions (1.7k citations), Applied Psychology (200 citations), General Dentistry (63 citations) and Occupational Therapy (157 citations). Huawei Tan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhongchun Liu, Lihua Yao, Simeng Ma, Ruiting Li, Zhongxiang Cai, Ying Wang, Gaohua Wang, Jiang Wu, Lijun Kang and Hui Du. Their work appears in journals such as Horticulture Research, Risk Management and Healthcare Policy, Frontiers in Public Health, PLoS ONE and Frontiers in Psychiatry.

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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