Lan Ni
- Nephrology top 0.2%
- Renal Diseases and Glomerulopathies 23
- Chronic Kidney Disease and Diabetes 7
- Molecular Biology top 5%
- Renal and related cancers 10
- Ion Transport and Channel Regulation 6
- Genetics top 5%
- Genetic and Kidney Cyst Diseases 6
- Genetics top 5%
- Genetic and Kidney Cyst Diseases 6
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- Pancreatic function and diabetes 4
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- Pregnancy and preeclampsia studies 2
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- Renal cell carcinoma treatment 2
- Co-authors
- Moin A. SaleemPeter W. MathiesonRichard J. CowardPeter MündelCarol InwardChang Ying XingMichael J. O’HareTimothy Farren
- Cited by
- NephrologyMolecular BiologyGenetics
- Journals
- Journal of the American Society of Nephrology (6 papers)Kidney International (3 papers)American Journal of Physiology-Renal Physiology (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Lan Ni
40 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Nephrology 1.7k
- Molecular Biology 1.3k
- Genetics 197
- Genetics 433
- Pathology and Forensic Medicine 278
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 6 | |
| 4 | 2019 | 62 | |
| 5 | 2018 | 32 | |
| 6 | 2017 | 41 | |
| 7 | 2015 | 27 | |
| 8 | 2014 | 28 | |
| 9 | 2012 | 16 | |
| 10 | 2012 | 73 | |
| 11 | 2011 | 202 | |
| 12 | 2010 | 39 | |
| 13 | 2009 | 61 | |
| 14 | 2008 | 26 | |
| 15 | 2008 | 91 | |
| 16 | 2006 | 180 | |
| 17 | 2006 | 133 | |
| 18 | 2006 | 83 | |
| 19 | 2004 | 17 | |
| 20 | A Conditionally Immortalized Human Podocyte Cell Line Demonstrating Nephrin and Podocin Expressionbreakdown → | 2002 | 896 |
About Lan Ni
Lan Ni is a scholar working on Nephrology, Molecular Biology and Genetics, having authored 43 papers that have together received 2.9k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (23 papers), Renal and related cancers (10 papers), Chronic Kidney Disease and Diabetes (7 papers), Ion Transport and Channel Regulation (6 papers), Genetic and Kidney Cyst Diseases (6 papers), Pancreatic function and diabetes (4 papers), Pregnancy and preeclampsia studies (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Nephrology (1.7k citations), Molecular Biology (1.3k citations) and Genetics (197 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, Chang Ying Xing, Michael J. O’Hare, 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, Diabetes 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.