Guiqing He
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Tuberculosis Research and Epidemiology 11
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 4
- Epidemiology 13
- Mycobacterium research and diagnosis 10
- Co-authors
- Jing Cai (5 shared papers)Jianping Huang (2 shared papers)Wenjie Sun (4 shared papers)Michelle Gamber (3 shared papers)Jing Wu (3 shared papers)Xingzhong Hu (4 shared papers)Lianpeng Wu (7 shared papers)Wei Ye (2 shared papers)
- Journals
- Microbiology Spectrum (2 papers)Clinica Chimica Acta (2 papers)Gene (1 paper)Infection Genetics and Evolution (1 paper)Infection and Drug Resistance (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Guiqing He
23 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 147
- Infectious Diseases 795
- Modeling and Simulation 179
- Health Informatics 43
- General Dentistry 36
- Neurology 177
Countries citing papers authored by Guiqing He
This map shows the geographic impact of Guiqing 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 Guiqing He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guiqing He more than expected).
Fields of papers citing papers by Guiqing He
This network shows the impact of papers produced by Guiqing 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 Guiqing He. The network helps show where Guiqing He may publish in the future.
Co-authors
The 25 scholars most cited alongside Guiqing 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 393 | |
| 2 | 2020 | 271 | |
| 3 | 2020 | 236 | |
| 4 | 2019 | 158 | |
| 5 | 2020 | 123 | |
| 6 | 2020 | 66 | |
| 7 | 2019 | 62 | |
| 8 | 2019 | 31 | |
| 9 | 2015 | 19 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Guiqing He
Guiqing He is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Neurology, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (10 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Long-Term Effects of COVID-19 (3 papers), Diagnosis and treatment of tuberculosis (3 papers), COVID-19 diagnosis using AI (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Infectious Diseases (795 citations), Modeling and Simulation (179 citations), Health Informatics (43 citations), General Dentistry (36 citations) and Neurology (177 citations). Guiqing He has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jing Cai, Jianping Huang, Wenjie Sun, Michelle Gamber, Jing Wu, Xingzhong Hu, Lianpeng Wu, Wei Ye, Xiangao Jiang and Wenhong Zhang. Their work appears in journals such as Microbiology Spectrum, Clinica Chimica Acta, Gene, Infection Genetics and Evolution and Infection and Drug Resistance.
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.