Xingfei Pan
Impact in
- Hepatology top 10%
- Hepatitis C virus research
-
- COVID-19 Clinical Research Studies
Papers in
- Epidemiology 18
- Hepatitis B Virus Studies 11
- Liver Disease Diagnosis and Treatment 5
- Hepatology 11
- Hepatitis C virus research 6
- Hepatitis Viruses Studies and Epidemiology 4
- Liver physiology and pathology 3
- Co-authors
- Yunjiao Zhou (2 shared papers)Peishan Qiu (2 shared papers)Hong Cao (8 shared papers)Haizhou Wang (1 shared paper)Fan Wang (1 shared paper)Jing Liu (1 shared paper)Meng Zhang (1 shared paper)Qiu Zhao (1 shared paper)
- Journals
- International Immunopharmacology (3 papers)Frontiers in Immunology (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)International Journal of Gynecology & Obstetrics (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xingfei Pan
33 papers receiving 376 citations
Peers
Comparison fields: 5 of 76
- Hepatology 76
- Infectious Diseases 105
- Obstetrics and Gynecology 37
- Oncology 98
- Epidemiology 124
Countries citing papers authored by Xingfei Pan
This map shows the geographic impact of Xingfei Pan'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 Xingfei Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingfei Pan more than expected).
Fields of papers citing papers by Xingfei Pan
This network shows the impact of papers produced by Xingfei Pan. 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 Xingfei Pan. The network helps show where Xingfei Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingfei Pan, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2011 | 40 | |
| 3 | 2020 | 36 | |
| 4 | 2012 | 30 | |
| 5 | 2013 | 21 | |
| 6 | 2012 | 21 | |
| 7 | 2016 | 17 | |
| 8 | 2015 | 15 | |
| 9 | 2013 | 13 | |
| 10 | 2012 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2008 | 12 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 3 |
About Xingfei Pan
Xingfei Pan is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Immunology and Molecular Biology, having authored 36 papers that have together received 385 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (6 papers), COVID-19 Clinical Research Studies (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Immune Cell Function and Interaction (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Hepatology (76 citations), Infectious Diseases (105 citations), Obstetrics and Gynecology (37 citations), Oncology (98 citations) and Epidemiology (124 citations). Xingfei Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yunjiao Zhou, Peishan Qiu, Hong Cao, Haizhou Wang, Fan Wang, Jing Liu, Meng Zhang, Qiu Zhao, Jianxi Lu and Xin Shu. Their work appears in journals such as International Immunopharmacology, Frontiers in Immunology, Frontiers in Cellular and Infection Microbiology, International Journal of Gynecology & Obstetrics and PLoS ONE.
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.