Lanlan Ji
Impact in
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
- Immunology top 10%
- T-cell and B-cell Immunology
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Rheumatology 40
- Systemic Lupus Erythematosus Research 23
- Rheumatoid Arthritis Research and Therapies 14
- Immunology 16
- T-cell and B-cell Immunology 4
- Atherosclerosis and Cardiovascular Diseases 4
- Co-authors
- Zhuoli Zhang (37 shared papers)Wenhui Xie (19 shared papers)Yan Geng (17 shared papers)Xuerong Deng (18 shared papers)Yanjie Hao (15 shared papers)Hong Huang (12 shared papers)Xiaohui Zhang (15 shared papers)Dai Gao (12 shared papers)
- Journals
- Clinical Rheumatology (7 papers)Lara D. Veeken (6 papers)Annals of the Rheumatic Diseases (5 papers)Frontiers in Immunology (4 papers)Seminars in Arthritis and Rheumatism (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lanlan Ji
48 papers receiving 680 citations
Peers
Comparison fields: 5 of 65
- Rheumatology 439
- Immunology 219
- Nephrology 58
- Hematology 75
- Genetics 59
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2021 | 39 | |
| 3 | 2020 | 38 | |
| 4 | 2016 | 35 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 30 | |
| 7 | 2022 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2013 | 27 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2016 | 23 | |
| 14 | 2022 | 23 | |
| 15 | 2018 | 22 | |
| 16 | 2020 | 20 | |
| 17 | 2020 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2020 | 18 | |
| 20 | 2021 | 17 |
About Lanlan Ji
Lanlan Ji is a scholar working on Rheumatology, Immunology, Genetics, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 693 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (23 papers), Rheumatoid Arthritis Research and Therapies (14 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Liver Diseases and Immunity (5 papers), T-cell and B-cell Immunology (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Renal Diseases and Glomerulopathies (4 papers). The work is most often cited by research in Rheumatology (439 citations), Immunology (219 citations), Nephrology (58 citations), Hematology (75 citations) and Genetics (59 citations). Lanlan Ji has collaborated with scholars based in China, United States and Australia. 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 Clinical Rheumatology, Lara D. Veeken, Annals of the Rheumatic Diseases, Frontiers in Immunology and Seminars in Arthritis and Rheumatism.
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.