Lan Ni
Impact in
- Nephrology top 0.2%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Genetics top 5%
- Genetic and Kidney Cyst Diseases
Papers in
- Nephrology 22
- Renal Diseases and Glomerulopathies 22
- Chronic Kidney Disease and Diabetes 6
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- Renal and related cancers 8
- Ion Transport and Channel Regulation 6
- Co-authors
- Moin A. Saleem (23 shared papers)Peter W. Mathieson (13 shared papers)Richard J. Coward (10 shared papers)Peter Mündel (3 shared papers)Carol Inward (1 shared paper)Michael J. O’Hare (1 shared paper)Chang Ying Xing (1 shared paper)Timothy Farren (1 shared paper)
- Journals
- Journal of the American Society of Nephrology (6 papers)Kidney International (3 papers)American Journal of Physiology-Renal Physiology (2 papers)Fertility and Sterility (1 paper)Nephron Experimental Nephrology (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Lan Ni
41 papers receiving 2.9k citations
Lan Ni's Hit Papers
Peers
Comparison fields: 5 of 102
- Nephrology 1.6k
- Genetics 170
- Molecular Biology 1.2k
- Pathology and Forensic Medicine 236
- Genetics 356
Countries citing papers authored by Lan Ni
This map shows the geographic impact of Lan Ni'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 Lan Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Ni more than expected).
Fields of papers citing papers by Lan Ni
This network shows the impact of papers produced by Lan Ni. 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 Lan Ni. The network helps show where Lan Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Ni, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Conditionally Immortalized Human Podocyte Cell Line Demonstrating Nephrin and Podocin Expression Hit paper breakdown → | 2002 | 905 |
| 2 | 2011 | 203 | |
| 3 | 2006 | 182 | |
| 4 | 2009 | 161 | |
| 5 | 2002 | 151 | |
| 6 | 2006 | 135 | |
| 7 | 2007 | 120 | |
| 8 | 2005 | 95 | |
| 9 | 2008 | 93 | |
| 10 | 2008 | 87 | |
| 11 | 2006 | 83 | |
| 12 | 2012 | 74 | |
| 13 | 2014 | 66 | |
| 14 | 2019 | 63 | |
| 15 | 2009 | 62 | |
| 16 | 2012 | 55 | |
| 17 | 2017 | 46 | |
| 18 | 2010 | 40 | |
| 19 | 2018 | 33 | |
| 20 | 2011 | 30 |
About Lan Ni
Lan Ni is a scholar working on Nephrology, Molecular Biology, Genetics, Surgery and Pathology and Forensic Medicine, having authored 43 papers that have together received 3.0k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (22 papers), Renal and related cancers (8 papers), Ion Transport and Channel Regulation (6 papers), Chronic Kidney Disease and Diabetes (6 papers), Genetic and Kidney Cyst Diseases (5 papers), Pancreatic function and diabetes (3 papers), Biomedical Research and Pathophysiology (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Nephrology (1.6k citations), Genetics (170 citations), Molecular Biology (1.2k citations), Pathology and Forensic Medicine (236 citations) and Genetics (356 citations). Lan Ni has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Moin A. Saleem, Peter W. Mathieson, Richard J. Coward, Peter Mündel, Carol Inward, Michael J. O’Hare, Chang Ying Xing, Timothy Farren, Jochen Reiser and Gavin I. Welsh. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, American Journal of Physiology-Renal Physiology, Fertility and Sterility and Nephron Experimental Nephrology.
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.