Hui Y. Lan
Impact in
- Nephrology top 0.01%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Gout, Hyperuricemia, Uric Acid
- Immunology top 0.1%
- Macrophage Migration Inhibitory Factor
Papers in
- Nephrology 172
- Chronic Kidney Disease and Diabetes 105
- Renal Diseases and Glomerulopathies 51
- Acute Kidney Injury Research 22
- Immunology 124
- Macrophage Migration Inhibitory Factor 49
- Immune cells in cancer 25
- Co-authors
- David J. Nikolic‐PatersonXiao‐Ming MengArthur C.K. ChungXiao Ru HuangPatrick Ming‐Kuen TangRichard J. JohnsonXiao‐Ru HuangRobert C. Atkins
In The Last Decade
Hui Y. Lan
456 papers receiving 37.0k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Nephrology 12.3k
- Immunology 7.1k
- Cancer Research 4.9k
- Molecular Biology 16.2k
- Pathology and Forensic Medicine 3.3k
Countries citing papers authored by Hui Y. Lan
This map shows the geographic impact of Hui Y. Lan'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 Hui Y. Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Y. Lan more than expected).
Fields of papers citing papers by Hui Y. Lan
This network shows the impact of papers produced by Hui Y. Lan. 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 Hui Y. Lan. The network helps show where Hui Y. Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Y. Lan, 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 | 2024 | 7 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 34 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 36 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 22 | |
| 11 | 2020 | 59 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 30 | |
| 14 | 2018 | 67 | |
| 15 | 2017 | 41 | |
| 16 | 2017 | 215 | |
| 17 | Diverse Roles of TGF-β/Smads in Renal Fibrosis and Inflammation | 2011 | 1 |
| 18 | 2009 | 235 | |
| 19 | 2008 | 33 | |
| 20 | 2006 | 205 |
About Hui Y. Lan
Hui Y. Lan is a scholar working on Nephrology, Immunology, Immunology and Allergy, Molecular Biology and Cancer Research, having authored 467 papers that have together received 37.4k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (105 papers), TGF-β signaling in diseases (83 papers), Renal and related cancers (68 papers), Renal Diseases and Glomerulopathies (51 papers), Macrophage Migration Inhibitory Factor (49 papers), Immune cells in cancer (25 papers), Cell Adhesion Molecules Research (23 papers) and Acute Kidney Injury Research (22 papers). The work is most often cited by research in Nephrology (12.3k citations), Immunology (7.1k citations), Cancer Research (4.9k citations), Molecular Biology (16.2k citations) and Pathology and Forensic Medicine (3.3k citations). Hui Y. Lan has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include David J. Nikolic‐Paterson, Xiao‐Ming Meng, Arthur C.K. Chung, Xiao Ru Huang, Patrick Ming‐Kuen Tang, Richard J. Johnson, Xiao‐Ru Huang, Robert C. Atkins, Haiyong Chen and Duk‐Hee Kang. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology, Nephrology, Molecular Therapy and International Journal of Biological Sciences.
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.