Haiyan Yang

6.0k citations
204 papers · 3.7k indexed · 1 hit paper · h-index 27

Impact in

Papers in

Haiyan Yang

193 papers receiving 3.6k citations

Hit Papers

Virology, Epidemiology, Pathogenesis, and Control of COVID-19 2020 · 1.1k citations
1.1k20202026202220242505007501000

Peers

Haiyan Yang
Comparison fields: 5 of 164
  • Infectious Diseases 1.6k
  • Molecular Medicine 234
  • Neurology 575
  • Modeling and Simulation 168
  • Endocrinology 146
Replace Shuaiyin Chen with:
Shuaiyin Chen China
Yuanhong Xu China
Jingfu Qiu China
Yingxia Liu China
Jieming Qu China
Abualgasim Elgaili Abdalla Saudi Arabia
Sitang Gong China
Lokesh Sharma United States
Tianzhi Li China
Haiyan Yang relative to Shuaiyin Chen China Shuaiyin Chen's profile →
Citations per field
00.5×7.1×
Shuaiyin Chen · 1×
Citations per year

Countries citing papers authored by Haiyan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Haiyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Virology, Epidemiology, Pathogenesis, and Control of COVID-19
Hit paper breakdown →
20201066
2 2020287
3 202172
4 201161
5 202160
6 201357
7 200951
8 200148
9 200942
10 201742
11 202040
12 201340
13 201439
14 202136
15 202136
16 201933
17 201732
18 202030
19 202030
20 202128

About Haiyan Yang

Haiyan Yang is a scholar working on Infectious Diseases, Endocrinology, Molecular Medicine, Neurology and Cardiology and Cardiovascular Medicine, having authored 204 papers that have together received 3.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (41 papers), Long-Term Effects of COVID-19 (26 papers), Viral Infections and Immunology Research (25 papers), COVID-19 and healthcare impacts (18 papers), CRISPR and Genetic Engineering (16 papers), Escherichia coli research studies (16 papers), Antibiotic Resistance in Bacteria (16 papers) and Antimicrobial Resistance in Staphylococcus (13 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Molecular Medicine (234 citations), Neurology (575 citations), Modeling and Simulation (168 citations) and Endocrinology (146 citations). Haiyan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guangcai Duan, Shuaiyin Chen, Yuefei Jin, Wangquan Ji, Weidong Wu, William Zhang, Yadong Wang, Guangcai Duan, Weiguo Zhang and Jie Xu. Their work appears in journals such as Frontiers in Microbiology, The Journal of Infectious Diseases, Vaccines, The American Journal of Emergency Medicine and Scientific Reports.

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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