Lanlan Ji
Impact in
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
- Hematology top 10%
- Platelet Disorders and Treatments
- Autoimmune and Inflammatory Disorders Research
Papers in
- Rheumatology 51
- Systemic Lupus Erythematosus Research 33
- Rheumatoid Arthritis Research and Therapies 13
- Musculoskeletal synovial abnormalities and treatments 3
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- Gout, Hyperuricemia, Uric Acid 3
- Co-authors
- Zhuoli Zhang (40 shared papers)Wenhui Xie (18 shared papers)Yan Geng (15 shared papers)Xuerong Deng (18 shared papers)Yanjie Hao (14 shared papers)Hong Huang (12 shared papers)Xiaohui Zhang (15 shared papers)Dai Gao (12 shared papers)
- Journals
- Lara D. Veeken (8 papers)Clinical Rheumatology (7 papers)Seminars in Arthritis and Rheumatism (6 papers)Frontiers in Immunology (5 papers)Rheumatology and Therapy (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lanlan Ji
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 62
- Rheumatology 759
- Hematology 166
- Nephrology 78
- Immunology 136
- Hepatology 39
Countries citing papers authored by Lanlan Ji
This map shows the geographic impact of Lanlan Ji'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 Lanlan Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanlan Ji more than expected).
Fields of papers citing papers by Lanlan Ji
This network shows the impact of papers produced by Lanlan Ji. 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 Lanlan Ji. The network helps show where Lanlan Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanlan Ji, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 91 | |
| 2 | 2020 | 62 | |
| 3 | 2018 | 52 | |
| 4 | 2021 | 51 | |
| 5 | 2018 | 46 | |
| 6 | 2020 | 41 | |
| 7 | 2020 | 40 | |
| 8 | 2018 | 39 | |
| 9 | 2022 | 37 | |
| 10 | 2020 | 35 | |
| 11 | 2016 | 35 | |
| 12 | 2019 | 32 | |
| 13 | 2020 | 32 | |
| 14 | 2021 | 32 | |
| 15 | 2021 | 31 | |
| 16 | 2022 | 30 | |
| 17 | 2013 | 28 | |
| 18 | 2020 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 2019 | 23 |
About Lanlan Ji
Lanlan Ji is a scholar working on Rheumatology, Nephrology, Genetics, Hematology and Immunology, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (33 papers), Rheumatoid Arthritis Research and Therapies (13 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Musculoskeletal synovial abnormalities and treatments (3 papers), Platelet Disorders and Treatments (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers) and Salivary Gland Disorders and Functions (2 papers). The work is most often cited by research in Rheumatology (759 citations), Hematology (166 citations), Nephrology (78 citations), Immunology (136 citations) and Hepatology (39 citations). Lanlan Ji has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhuoli Zhang, Wenhui Xie, Yan Geng, Xuerong Deng, Yanjie Hao, Hong Huang, Xiaohui Zhang, Dai Gao, Guangtao Li and Xinlei Yang. Their work appears in journals such as Lara D. Veeken, Clinical Rheumatology, Seminars in Arthritis and Rheumatism, Frontiers in Immunology and Rheumatology and Therapy.
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.