Zhe‐Xiong Lian
- Hepatology top 0.2%
- Liver Diseases and Immunity 58
- Liver physiology and pathology 18
- Immunology top 0.5%
- Immune Cell Function and Interaction 48
- T-cell and B-cell Immunology 40
- Immunotherapy and Immune Responses 16
- Immune cells in cancer 12
- Epidemiology top 0.5%
- Liver Disease Diagnosis and Treatment 33
- Rheumatology top 1%
- Oncology top 5%
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- Diabetes and associated disorders 12
- Co-authors
- M. Eric GershwinAftab A. AnsariRoss L. CoppelKoichi TsuneyamaZhigang TianHaiming WeiYuki MoritokiRui Sun
- Cited by
- HepatologyImmunologyEpidemiology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (3 papers)Nature Communications (3 papers)
- 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
- Rheumatology 676
- Oncology 907
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
The 25 scholars most cited alongside Zhe‐Xiong Lian, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 38 | |
| 10 | Single-cell and spatial transcriptome analysis reveals the cellular heterogeneity of liver metastatic colorectal cancerbreakdown → | 2023 | 104 |
| 11 | 2020 | 23 | |
| 12 | 2010 | 11 | |
| 13 | 2008 | 77 | |
| 14 | 2008 | 62 | |
| 15 | 2006 | 8 | |
| 16 | 2005 | 29 | |
| 17 | 2004 | 35 | |
| 18 | 2003 | 116 | |
| 19 | 2002 | 9 | |
| 20 | 2002 | 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), T-cell and B-cell Immunology (40 papers), Liver Disease Diagnosis and Treatment (33 papers), Liver physiology and pathology (18 papers), Immunotherapy and Immune Responses (16 papers), Diabetes and associated disorders (12 papers) and Immune cells in cancer (12 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.