Linwei Wang

55 papers receiving 1.0k citations

Peers

Linwei Wang
Comparison fields: 5 of 79
  • Infectious Diseases 135
  • Modeling and Simulation 23
  • Cardiology and Cardiovascular Medicine 94
  • Oncology 71
  • Public Health, Environmental and Occupational Health 88
Replace Susan Spillane with:
Susan Spillane Ireland
George L. Anesi United States
Amir M. Mohareb United States
Olga Morozova United States
Adam Mahomed South Africa
Dan Hanfling United States
Vladimir Vuković Serbia
Luciano de Andrade Brazil
Edoardo Colzani Sweden
Wondimu Ayele Ethiopia
Linwei Wang relative to Susan Spillane Ireland Susan Spillane's profile →
Citations per field
00.5×2×3×3.8×
Susan Spillane · 1×
Citations per year

Countries citing papers authored by Linwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Linwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021131
2 2009108
3 2017100
4 202080
5 201151
6 201939
7 201935
8 201631
9 202029
10 202228
11 201522
12 201722
13 201321
14 201621
15 201918
16 201617
17 202116
18 202216
19 202015
20 201913

About Linwei Wang

Linwei Wang is a scholar working on Infectious Diseases, Modeling and Simulation, Cancer Research, Epidemiology and Public Health, Environmental and Occupational Health, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (10 papers), HIV, Drug Use, Sexual Risk (4 papers), Breast Cancer Treatment Studies (4 papers), COVID-19 epidemiological studies (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Sex work and related issues (2 papers), ECG Monitoring and Analysis (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (135 citations), Modeling and Simulation (23 citations), Cardiology and Cardiovascular Medicine (94 citations), Oncology (71 citations) and Public Health, Environmental and Occupational Health (88 citations). Linwei Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Pengcheng Shi, Huafeng Liu, Ken C. L. Wong, Rong Kong, Bohdan Nosyk, Mansoor Ahmed Koondhar, Zhixiong Tan, Zaid Ashiq Khan, Gazi Mahabubul Alam and Emanuel Krebs. Their work appears in journals such as American Journal of Epidemiology, BMC Cancer, IEEE Transactions on Biomedical Engineering, Cancer and Journal of the International AIDS Society.

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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