Kunlun Xiang
Impact in
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- Hepatitis C virus research
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- Hepatitis B Virus Studies
- Respiratory viral infections research
- Liver Disease Diagnosis and Treatment
- Pneumonia and Respiratory Infections
Papers in
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- Hepatitis B Virus Studies 3
- Respiratory viral infections research 3
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- Climate variability and models 3
- Plant Water Relations and Carbon Dynamics 2
- Co-authors
- Bin Wang (1 shared paper)Lu Gao (4 shared papers)Hongying Yun (3 shared papers)Hong C. Shen (2 shared papers)Li Wang (2 shared papers)Song Feng (2 shared papers)Xiufang Zheng (2 shared papers)Lisha Wang (2 shared papers)
- Journals
- Plants (3 papers)International Journal of Climatology (1 paper)Journal of Hepatology (1 paper)Journal of Medicinal Chemistry (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- ChinaSwitzerlandJapan
In The Last Decade
Kunlun Xiang
12 papers receiving 247 citations
Peers
Comparison fields: 5 of 56
- Hepatology 42
- Epidemiology 155
- Virology 19
- Infectious Diseases 38
- Organic Chemistry 32
Countries citing papers authored by Kunlun Xiang
This map shows the geographic impact of Kunlun Xiang'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 Kunlun Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunlun Xiang more than expected).
Fields of papers citing papers by Kunlun Xiang
This network shows the impact of papers produced by Kunlun Xiang. 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 Kunlun Xiang. The network helps show where Kunlun Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunlun Xiang, 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 | 2017 | 64 | |
| 2 | 2019 | 64 | |
| 3 | 2018 | 40 | |
| 4 | 2016 | 31 | |
| 5 | 2008 | 22 | |
| 6 | 2021 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 |
About Kunlun Xiang
Kunlun Xiang is a scholar working on Epidemiology, Global and Planetary Change, Infectious Diseases, Atmospheric Science and Plant Science, having authored 13 papers that have together received 252 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Respiratory viral infections research (3 papers), Climate variability and models (3 papers), Viral Infections and Vectors (3 papers), Meteorological Phenomena and Simulations (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Tropical and Extratropical Cyclones Research (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Hepatology (42 citations), Epidemiology (155 citations), Virology (19 citations), Infectious Diseases (38 citations) and Organic Chemistry (32 citations). Kunlun Xiang has collaborated with scholars based in China, Switzerland and Japan. Frequent co-authors include Bin Wang, Lu Gao, Hongying Yun, Hong C. Shen, Li Wang, Song Feng, Xiufang Zheng, Lisha Wang, Youjun Yu and John A. T. Young. Their work appears in journals such as Plants, International Journal of Climatology, Journal of Hepatology, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.
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.