Wei He
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
- Parasitology 10
- Parasites and Host Interactions 9
Wei He
100 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Infectious Diseases 1.1k
- Modeling and Simulation 219
- Obstetrics and Gynecology 221
- Parasitology 176
- Neurology 406
Countries citing papers authored by Wei He
This map shows the geographic impact of Wei He'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 Wei He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei He more than expected).
Fields of papers citing papers by Wei He
This network shows the impact of papers produced by Wei He. 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 Wei He. The network helps show where Wei He may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 11 | |
| 8 | Identification of Important Modules and Biomarkers in Breast Cancer Based on WGCNA | 2020 | 3 |
| 9 | 2019 | 16 | |
| 10 | 2018 | 3 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 24 | |
| 13 | Effect of reducing serum uric acids on insulin resistance and islet β cell functions in patients with hyperuricemia | 2012 | 1 |
| 14 | 2012 | 18 | |
| 15 | Observation on the clinical effect of combined therapy of GP regimen plus Aidi injection on advanced stage non-small-cell lung cancer | 2011 | 1 |
| 16 | 2010 | 12 | |
| 17 | DEVELOPMENT OF A RAPID IMMUNODIAGNOSIS ASSAY FOR DOMESTIC ANIMAL SCHISTOSOMIASIS WITH COLLOIDAL DYE DIPSTICK IMMUNOASSAY(DDIA) | 2002 | 2 |
| 18 | 2002 | 48 | |
| 19 | Development of a rapid immunodiagnosis assay for schistosomiasis - colloidal dye strip immunoassay. | 2000 | 3 |
| 20 | PRELIMINARY STUDY ON DIAGNOSIS OF SCHISTOSOMIASIS JAPONICA BY FAST DOT-ELISA | 1993 | 1 |
About Wei He
Wei He is a scholar working on Issues, ethics and legal aspects, Parasitology, Critical Care and Intensive Care Medicine, Behavioral Neuroscience and Infectious Diseases, having authored 107 papers that have together received 3.2k indexed citations. Recurring topics across this work include Parasites and Host Interactions (9 papers), Cardiovascular Function and Risk Factors (8 papers), COVID-19 Clinical Research Studies (8 papers), Congenital Heart Disease Studies (6 papers), Ultrasound in Clinical Applications (6 papers), Healthcare Policy and Management (5 papers), Global Cancer Incidence and Screening (5 papers) and Respiratory Support and Mechanisms (5 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Modeling and Simulation (219 citations), Obstetrics and Gynecology (221 citations), Parasitology (176 citations) and Neurology (406 citations). Wei He has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Peng Bai, Fei Wu, Jin‐Kui Yang, Shi Liu, Jianmin Jin, De-min Han, Xiaofang Liu, Patricia K. Donahoe, Michael L. Gustafson and Steven J. Atlas. Their work appears in journals such as Journal of General Internal Medicine, PLoS ONE, Frontiers in Public Health, The Journal of Clinical Endocrinology & Metabolism and Congenital Heart Disease.
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.