Xiaohan Xu
Impact in
- Hepatology top 10%
-
- Intensive Care Unit Cognitive Disorders
Papers in
-
- Cervical Cancer and HPV Research 2
- Co-authors
- Shan Liu (1 shared paper)Chenyang Zhao (1 shared paper)Chunhua Lin (1 shared paper)Qiaoling Song (1 shared paper)Lijuan Wu (1 shared paper)Kyle L. Poulsen (1 shared paper)Jinbo Yang (1 shared paper)Tatsunori Miyata (1 shared paper)
- Journals
- BMC Public Health (3 papers)Statistics in Medicine (2 papers)Veterinary Microbiology (2 papers)JAMA Network Open (2 papers)JMIR Public Health and Surveillance (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaohan Xu
40 papers receiving 779 citations
Xiaohan Xu's Hit Papers
Peers
Comparison fields: 5 of 116
- Hepatology 51
- Critical Care and Intensive Care Medicine 27
- Epidemiology 191
- Anesthesiology and Pain Medicine 25
- Obstetrics and Gynecology 31
Countries citing papers authored by Xiaohan Xu
This map shows the geographic impact of Xiaohan Xu'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 Xiaohan Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Xu more than expected).
Fields of papers citing papers by Xiaohan Xu
This network shows the impact of papers produced by Xiaohan Xu. 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 Xiaohan Xu. The network helps show where Xiaohan Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohan Xu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeted therapeutics and novel signaling pathways in non-alcohol-associated fatty liver/steatohepatitis (NAFL/NASH) Hit paper breakdown → | 2022 | 253 |
| 2 | 2015 | 55 | |
| 3 | 2019 | 55 | |
| 4 | 2019 | 48 | |
| 5 | 2020 | 39 | |
| 6 | 2017 | 38 | |
| 7 | 2022 | 31 | |
| 8 | 2019 | 29 | |
| 9 | 2022 | 25 | |
| 10 | 2021 | 23 | |
| 11 | 2020 | 21 | |
| 12 | 2021 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2023 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Xiaohan Xu
Xiaohan Xu is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Genetics, Statistics and Probability and Surgery, having authored 42 papers that have together received 788 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (3 papers), Advanced Radiotherapy Techniques (3 papers), Statistical Methods in Clinical Trials (3 papers), Cervical Cancer and HPV Research (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Hepatology (51 citations), Critical Care and Intensive Care Medicine (27 citations), Epidemiology (191 citations), Anesthesiology and Pain Medicine (25 citations) and Obstetrics and Gynecology (31 citations). Xiaohan Xu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shan Liu, Chenyang Zhao, Chunhua Lin, Qiaoling Song, Lijuan Wu, Kyle L. Poulsen, Jinbo Yang, Tatsunori Miyata, Chul Ahn and Ayal A. Aizer. Their work appears in journals such as BMC Public Health, Statistics in Medicine, Veterinary Microbiology, JAMA Network Open and JMIR Public Health and Surveillance.
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.