L. Ni
- Rheumatology top 2%
- Rheumatoid Arthritis Research and Therapies 3
- Spondyloarthritis Studies and Treatments 2
- Systemic Lupus Erythematosus Research 2
- Hematology top 5%
- Immunology top 10%
- Orthopedics and Sports Medicine top 10%
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- Hepatitis C virus research 2
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- Chronic Lymphocytic Leukemia Research 2
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- Influenza Virus Research Studies 1
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- Machine Learning in Bioinformatics 1
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- Scheduling and Optimization Algorithms 1
- Co-authors
- John C. DavisRobert LandewéDebby VosseD. van der HeijdeSteven EinsteinP A OryWayne TsujiDésirée van der Heijde
- Cited by
- RheumatologyHematologyImmunology
- Journals
- Journal of Hepatology (3 papers)Annals of the Rheumatic Diseases (2 papers)Journal of Allergy and Clinical Immunology (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
L. Ni
9 papers receiving 549 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Rheumatology 520
- Hematology 187
- Immunology 242
- Orthopedics and Sports Medicine 82
- Hepatology 33
Countries citing papers authored by L. Ni
This map shows the geographic impact of L. 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 L. Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Ni more than expected).
Fields of papers citing papers by L. Ni
This network shows the impact of papers produced by L. 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 L. Ni. The network helps show where L. Ni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside L. 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 1 | |
| 6 | 2016 | 3 | |
| 7 | 2014 | 26 | |
| 8 | 2014 | 1 | |
| 9 | 2014 | 3 | |
| 10 | 2010 | 3 | |
| 11 | Radiographic progression of ankylosing spondylitis after up to two years of treatment with etanerceptbreakdown → | 2008 | 408 |
| 12 | 2007 | 130 |
About L. Ni
L. Ni is a scholar working on Hematology, Rheumatology, Hepatology, Genetics and Hardware and Architecture, having authored 12 papers that have together received 578 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Spondyloarthritis Studies and Treatments (2 papers), Systemic Lupus Erythematosus Research (2 papers), Hepatitis C virus research (2 papers), Influenza Virus Research Studies (1 paper), Machine Learning in Bioinformatics (1 paper) and Scheduling and Optimization Algorithms (1 paper). The work is most often cited by research in Rheumatology (520 citations), Hematology (187 citations), Immunology (242 citations), Orthopedics and Sports Medicine (82 citations) and Hepatology (33 citations). L. Ni has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include John C. Davis, Robert Landewé, Debby Vosse, D. van der Heijde, Steven Einstein, P A Ory, Wayne Tsuji, Désirée van der Heijde, Alan Kivitz and Robert D. Inman. Their work appears in journals such as Journal of Hepatology, Annals of the Rheumatic Diseases, Journal of Allergy and Clinical Immunology, Journal of Mechanical Engineering and International Journal of Software Engineering and Knowledge Engineering.
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.