Jianli Niu
- Immunology top 5%
- Cell Biology top 5%
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- Cardiac Fibrosis and Remodeling 5
- Viral Infections and Immunology Research 4
- Cancer Research top 10%
- Epidemiology top 10%
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- COVID-19 Clinical Research Studies 8
- HIV/AIDS Research and Interventions 5
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- Vascular Procedures and Complications 8
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- Venous Thromboembolism Diagnosis and Management 5
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- HIV Research and Treatment 4
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- Central Venous Catheters and Hemodialysis 4
- Co-authors
- Pappachan E. KolattukudyAsim AzferFrances M. AdamskiKangkai WangOlga ZhelyabovskaLinda RogersSumbul FatmaHyunbae Kim
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jianli Niu
66 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 121
- Immunology 483
- Cell Biology 267
- Cardiology and Cardiovascular Medicine 343
- Cancer Research 216
- Epidemiology 418
Countries citing papers authored by Jianli Niu
This map shows the geographic impact of Jianli Niu'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 Jianli Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianli Niu more than expected).
Fields of papers citing papers by Jianli Niu
This network shows the impact of papers produced by Jianli Niu. 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 Jianli Niu. The network helps show where Jianli Niu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianli Niu, 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 | 2024 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 37 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 0 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 0 | |
| 15 | 2018 | 1 | |
| 16 | 2015 | 146 | |
| 17 | 2013 | 14 | |
| 18 | 2011 | 113 | |
| 19 | 2008 | 37 | |
| 20 | 2007 | 38 |
About Jianli Niu
Jianli Niu is a scholar working on Internal Medicine, Infectious Diseases and Virology, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Vascular Procedures and Complications (8 papers), Venous Thromboembolism Diagnosis and Management (5 papers), HIV/AIDS Research and Interventions (5 papers), Cardiac Fibrosis and Remodeling (5 papers), HIV Research and Treatment (4 papers), Viral Infections and Immunology Research (4 papers) and Central Venous Catheters and Hemodialysis (4 papers). The work is most often cited by research in Immunology (483 citations), Cell Biology (267 citations) and Cardiology and Cardiovascular Medicine (343 citations). Jianli Niu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Pappachan E. Kolattukudy, Asim Azfer, Frances M. Adamski, Kangkai Wang, Kangkai Wang, Olga Zhelyabovska, Linda Rogers, Sumbul Fatma, Hyunbae Kim and Sarabeth Graham. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.