Jianlu Wei
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
Papers in
-
- Bone Metabolism and Diseases 8
- S100 Proteins and Annexins 5
- Rheumatology 10
- Osteoarthritis Treatment and Mechanisms 7
- Co-authors
- Liu C (15 shared papers)Aubryanna Hettinghouse (9 shared papers)Yunpeng Zhao (4 shared papers)Qingyun Tian (4 shared papers)Brendon Richbourgh (2 shared papers)Lei Cheng (7 shared papers)Ben Liu (1 shared paper)Xiuli Ju (3 shared papers)
- Journals
- Annals of the New York Academy of Sciences (3 papers)Annals of the Rheumatic Diseases (3 papers)Scientific Reports (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jianlu Wei
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Rheumatology 196
- Neurology 149
- Pharmacology 156
- Pathology and Forensic Medicine 159
- Cancer Research 124
Countries citing papers authored by Jianlu Wei
This map shows the geographic impact of Jianlu Wei'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 Jianlu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianlu Wei more than expected).
Fields of papers citing papers by Jianlu Wei
This network shows the impact of papers produced by Jianlu Wei. 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 Jianlu Wei. The network helps show where Jianlu Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianlu Wei, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 135 | |
| 2 | 2017 | 116 | |
| 3 | 2016 | 79 | |
| 4 | 2016 | 53 | |
| 5 | 2023 | 51 | |
| 6 | 2017 | 49 | |
| 7 | 2016 | 48 | |
| 8 | 2018 | 47 | |
| 9 | 2013 | 45 | |
| 10 | 2017 | 35 | |
| 11 | 2017 | 33 | |
| 12 | 2014 | 32 | |
| 13 | 2014 | 25 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2015 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2015 | 17 | |
| 20 | 2021 | 16 |
About Jianlu Wei
Jianlu Wei is a scholar working on Molecular Biology, Rheumatology, Pharmacology, Pathology and Forensic Medicine and Cancer Research, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (8 papers), Spine and Intervertebral Disc Pathology (7 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers), S100 Proteins and Annexins (5 papers), Musculoskeletal pain and rehabilitation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Rheumatology (196 citations), Neurology (149 citations), Pharmacology (156 citations), Pathology and Forensic Medicine (159 citations) and Cancer Research (124 citations). Jianlu Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liu C, Aubryanna Hettinghouse, Yunpeng Zhao, Qingyun Tian, Brendon Richbourgh, Lei Cheng, Ben Liu, Xiuli Ju, Thomas A. Einhorn and Dong Li. Their work appears in journals such as Annals of the New York Academy of Sciences, Annals of the Rheumatic Diseases, Scientific Reports, Frontiers in Cell and Developmental Biology and Oncotarget.
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.