Huan Han
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 1%
- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 detection and testing 4
-
- Pregnancy and preeclampsia studies 2
- Co-authors
- Fang LiuRui LiuXinghui LiuChengliang ZhuLan YangJie LiKailang WuYong Feng
- Journals
- Physics of Fluids (5 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (2 papers)mSphere (2 papers)Diagnostic Microbiology and Infectious Disease (2 papers)Clinica Chimica Acta (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Huan Han
33 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Infectious Diseases 2.0k
- Neurology 1.0k
- Internal Medicine 182
- Oncology 423
- Critical Care and Intensive Care Medicine 73
Countries citing papers authored by Huan Han
This map shows the geographic impact of Huan Han'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 Huan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huan Han more than expected).
Fields of papers citing papers by Huan Han
This network shows the impact of papers produced by Huan Han. 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 Huan Han. The network helps show where Huan Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Huan Han, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 1 | |
| 11 | Profiling serum cytokines in COVID-19 patients reveals IL-6 and IL-10 are disease severity predictors Hit paper breakdown → | 2020 | 830 |
| 12 | 2020 | 79 | |
| 13 | 2020 | 417 | |
| 14 | 2020 | 33 | |
| 15 | 2019 | 2 | |
| 16 | 2018 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2016 | 2 | |
| 19 | 2015 | 15 | |
| 20 | 2014 | 15 |
About Huan Han
Huan Han is a scholar working on Infectious Diseases, Obstetrics and Gynecology, Clinical Biochemistry, Computational Mechanics and Modeling and Simulation, having authored 36 papers that have together received 2.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (9 papers), Hydraulic and Pneumatic Systems (6 papers), Cavitation Phenomena in Pumps (4 papers), SARS-CoV-2 detection and testing (4 papers), Pregnancy and preeclampsia studies (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Solidification and crystal growth phenomena (2 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Neurology (1.0k citations), Internal Medicine (182 citations), Oncology (423 citations) and Critical Care and Intensive Care Medicine (73 citations). Huan Han has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Fang Liu, Rui Liu, Xinghui Liu, Chengliang Zhu, Lan Yang, Jie Li, Kailang Wu, Yong Feng, Wei Wang and Qingfeng Ma. Their work appears in journals such as Physics of Fluids, Clinical Chemistry and Laboratory Medicine (CCLM), mSphere, Diagnostic Microbiology and Infectious Disease and Clinica Chimica Acta.
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.