Zhe‐Xiong Lian
- Hepatology top 0.2%
- Immunology top 0.5%
- Epidemiology top 0.5%
- Surgery top 2%
- Molecular Biology top 5%
- Co-authors
- M. Eric GershwinAftab A. AnsariRoss L. CoppelKoichi TsuneyamaZhigang TianHaiming WeiYuki MoritokiRui Sun
- Topics
- Liver Diseases and Immunity (58 papers)Immune Cell Function and Interaction (48 papers)T-cell and B-cell Immunology (40 papers)
- Cited by
- HepatologyImmunologyEpidemiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Zhe‐Xiong Lian
153 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Hepatology 3.3k
- Immunology 2.9k
- Epidemiology 2.7k
- Surgery 1.4k
- Molecular Biology 1.4k
Countries citing papers authored by Zhe‐Xiong Lian
This map shows the geographic impact of Zhe‐Xiong Lian'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 Zhe‐Xiong Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhe‐Xiong Lian more than expected).
Fields of papers citing papers by Zhe‐Xiong Lian
This network shows the impact of papers produced by Zhe‐Xiong Lian. 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 Zhe‐Xiong Lian. The network helps show where Zhe‐Xiong Lian may publish in the future.
Co-authorship network of co-authors of Zhe‐Xiong Lian
This figure shows the co-authorship network connecting the top 25 collaborators of Zhe‐Xiong Lian. A scholar is included among the top collaborators of Zhe‐Xiong Lian 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 Zhe‐Xiong Lian. Zhe‐Xiong Lian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 38 | |
| 10 | Single-cell and spatial transcriptome analysis reveals the cellular heterogeneity of liver metastatic colorectal cancerbreakdown → | 104 |
| 11 | 23 | |
| 12 | 11 | |
| 13 | 77 | |
| 14 | 62 | |
| 15 | 8 | |
| 16 | 29 | |
| 17 | 35 | |
| 18 | 116 | |
| 19 | 9 | |
| 20 | 229 |
About Zhe‐Xiong Lian
Zhe‐Xiong Lian is a scholar working on Hepatology, Immunology and Epidemiology, having authored 158 papers that have together received 7.7k indexed citations. Recurring topics across this work include Liver Diseases and Immunity (58 papers), Immune Cell Function and Interaction (48 papers) and T-cell and B-cell Immunology (40 papers). The work is most often cited by research in Hepatology (3.3k citations), Immunology (2.9k citations) and Epidemiology (2.7k citations). Zhe‐Xiong Lian has collaborated with scholars based in China, United States and Japan. Frequent co-authors include M. Eric Gershwin, Aftab A. Ansari, Ross L. Coppel, Koichi Tsuneyama, Zhigang Tian, Haiming Wei, Yuki Moritoki, Rui Sun, Xiaosong He and William M. Ridgway. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.