Liyan Ni
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
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- Genomics and Phylogenetic Studies 3
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- Vasculitis and related conditions 8
- Co-authors
- Xiaoxia Pan (7 shared papers)Yongxi Chen (8 shared papers)Nan Chen (5 shared papers)Xiaonong Chen (5 shared papers)Hong Ren (4 shared papers)Pingyan Shen (7 shared papers)Jing Xu (4 shared papers)Yaowen Xu (4 shared papers)
- Journals
- PLoS ONE (3 papers)The Journal of Rheumatology (2 papers)Gene (1 paper)Journal of Hypertension (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Liyan Ni
31 papers receiving 408 citations
Peers
Comparison fields: 5 of 73
- Molecular Medicine 74
- Nephrology 92
- Endocrinology 38
- Genetics 78
- Pulmonary and Respiratory Medicine 185
Countries citing papers authored by Liyan Ni
This map shows the geographic impact of Liyan 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 Liyan Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyan Ni more than expected).
Fields of papers citing papers by Liyan Ni
This network shows the impact of papers produced by Liyan 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 Liyan Ni. The network helps show where Liyan Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Liyan 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 62 | |
| 2 | 2018 | 42 | |
| 3 | Propylthiouracil-associated antineutrophil cytoplasmic autoantibody-positive vasculitis: retrospective study of 19 cases. | 2007 | 36 |
| 4 | 2008 | 34 | |
| 5 | 2016 | 31 | |
| 6 | 2012 | 28 | |
| 7 | 2018 | 21 | |
| 8 | 2015 | 17 | |
| 9 | 2019 | 13 | |
| 10 | Clinical analysis of ANCA-associated renal vasculitis patients with chronic dialysis. | 2014 | 13 |
| 11 | 2015 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2013 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2014 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2019 | 6 |
About Liyan Ni
Liyan Ni is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Ecology, Molecular Medicine and Physiology, having authored 34 papers that have together received 411 indexed citations. Recurring topics across this work include Vasculitis and related conditions (8 papers), Antibiotic Resistance in Bacteria (7 papers), Renal Diseases and Glomerulopathies (5 papers), Bacteriophages and microbial interactions (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Genomics and Phylogenetic Studies (3 papers), Asthma and respiratory diseases (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (74 citations), Nephrology (92 citations), Endocrinology (38 citations), Genetics (78 citations) and Pulmonary and Respiratory Medicine (185 citations). Liyan Ni has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiaoxia Pan, Yongxi Chen, Nan Chen, Xiaonong Chen, Hong Ren, Pingyan Shen, Jing Xu, Yaowen Xu, Wen Zhang and Wen Zhang. Their work appears in journals such as PLoS ONE, The Journal of Rheumatology, Gene, Journal of Hypertension and Journal of Clinical Medicine.
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.