Fanli Meng
- Epidemiology top 5%
- Hepatology top 1%
- Molecular Biology
- Immunology top 10%
- Surgery
- Co-authors
- David A. BrennerTatiana KisselevaYong‐Han PaikKeiko IwaisakoMin CongMingjun ZhangKai WangDavid Scholten
- Topics
- Plant-Microbe Interactions and Immunity (9 papers)Plant Pathogens and Fungal Diseases (8 papers)Nematode management and characterization studies (7 papers)
- Cited by
- HepatologyEpidemiologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyGastroenterology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fanli Meng
37 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Epidemiology 646
- Hepatology 619
- Molecular Biology 296
- Immunology 263
- Surgery 226
Countries citing papers authored by Fanli Meng
This map shows the geographic impact of Fanli Meng'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 Fanli Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanli Meng more than expected).
Fields of papers citing papers by Fanli Meng
This network shows the impact of papers produced by Fanli Meng. 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 Fanli Meng. The network helps show where Fanli Meng may publish in the future.
Co-authorship network of co-authors of Fanli Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Fanli Meng. A scholar is included among the top collaborators of Fanli Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fanli Meng. Fanli Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 35 | |
| 12 | 31 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | Origin of myofibroblasts in the fibrotic liver in micebreakdown → | 411 |
| 16 | Interleukin-17 Signaling in Inflammatory, Kupffer Cells, and Hepatic Stellate Cells Exacerbates Liver Fibrosis in Micebreakdown → | 561 |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 108 | |
| 20 | [Relationship between ALDH gene polymorphism and alcoholic liver diseases]. | 3 |
About Fanli Meng
Fanli Meng is a scholar working on Hepatology, Cell Biology and Cancer Research, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (9 papers), Plant Pathogens and Fungal Diseases (8 papers) and Nematode management and characterization studies (7 papers). The work is most often cited by research in Hepatology (619 citations), Epidemiology (646 citations) and Immunology (263 citations). Fanli Meng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include David A. Brenner, Tatiana Kisseleva, Yong‐Han Paik, Keiko Iwaisako, Min Cong, Mingjun Zhang, Kai Wang, David Scholten, Felix Stickel and Tomonori Aoyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Gastroenterology.
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.