Duomeng Yang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- interferon and immune responses
- Immune Response and Inflammation
Papers in
- Epidemiology 10
- Sepsis Diagnosis and Treatment 9
-
- interferon and immune responses 7
- Co-authors
- Baihai Jiao (4 shared papers)Lili Qu (2 shared papers)Ruijuan Liu (1 shared paper)Yongliang Yuan (1 shared paper)Hongmei Li (11 shared papers)Penghua Wang (10 shared papers)Huadong Wang (10 shared papers)Xiuxiu Lv (9 shared papers)
- Journals
- Shock (3 papers)International Immunopharmacology (3 papers)Biomedicine & Pharmacotherapy (2 papers)Communications Biology (2 papers)Viruses (1 paper)
- Partner nations
- ChinaUnited StatesChile
In The Last Decade
Duomeng Yang
26 papers receiving 565 citations
Duomeng Yang's Hit Papers
Peers
Comparison fields: 5 of 93
- Infectious Diseases 140
- Immunology 108
- Critical Care and Intensive Care Medicine 24
- Neurology 25
- Epidemiology 91
Countries citing papers authored by Duomeng Yang
This map shows the geographic impact of Duomeng 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 Duomeng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duomeng Yang more than expected).
Fields of papers citing papers by Duomeng Yang
This network shows the impact of papers produced by Duomeng 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 Duomeng Yang. The network helps show where Duomeng Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Duomeng Yang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The development of COVID-19 treatment Hit paper breakdown → | 2023 | 154 |
| 2 | 2015 | 78 | |
| 3 | 2018 | 42 | |
| 4 | 2021 | 41 | |
| 5 | 2025 | 28 | |
| 6 | 2016 | 23 | |
| 7 | 2018 | 19 | |
| 8 | 2022 | 19 | |
| 9 | 2018 | 18 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2020 | 12 | |
| 14 | 2025 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2024 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2018 | 6 |
About Duomeng Yang
Duomeng Yang is a scholar working on Epidemiology, Immunology, Infectious Diseases, Virology and Critical Care and Intensive Care Medicine, having authored 26 papers that have together received 571 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), interferon and immune responses (7 papers), Mosquito-borne diseases and control (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Inflammasome and immune disorders (3 papers), COVID-19 Clinical Research Studies (2 papers), Hemodynamic Monitoring and Therapy (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (140 citations), Immunology (108 citations), Critical Care and Intensive Care Medicine (24 citations), Neurology (25 citations) and Epidemiology (91 citations). Duomeng Yang has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Baihai Jiao, Lili Qu, Ruijuan Liu, Yongliang Yuan, Hongmei Li, Penghua Wang, Huadong Wang, Xiuxiu Lv, Tingting Geng and Andrew G. Harrison. Their work appears in journals such as Shock, International Immunopharmacology, Biomedicine & Pharmacotherapy, Communications Biology and Viruses.
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.