Jing Cui
Impact in
- Rheumatology top 0.5%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Immunology top 5%
- Galectins and Cancer Biology
Papers in
- Rheumatology 53
- Rheumatoid Arthritis Research and Therapies 45
- Systemic Lupus Erythematosus Research 10
- Co-authors
- Nancy A. Shadick (28 shared papers)Michael E. Weinblatt (21 shared papers)Christine Iannaccone (14 shared papers)Elizabeth W. Karlson (16 shared papers)Michelle Frits (10 shared papers)Karen H. Costenbader (20 shared papers)Lori B. Chibnik (7 shared papers)Bing Lü (13 shared papers)
- Journals
- Lara D. Veeken (8 papers)Annals of the Rheumatic Diseases (8 papers)Arthritis Care & Research (7 papers)PLoS ONE (6 papers)Seminars in Arthritis and Rheumatism (6 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jing Cui
127 papers receiving 3.7k citations
Jing Cui's Hit Papers
Peers
Comparison fields: 5 of 145
- Rheumatology 1.2k
- Immunology 550
- Periodontics 84
- Physiology 440
- Hematology 170
Countries citing papers authored by Jing Cui
This map shows the geographic impact of Jing Cui'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 Jing Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Cui more than expected).
Fields of papers citing papers by Jing Cui
This network shows the impact of papers produced by Jing Cui. 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 Jing Cui. The network helps show where Jing Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Cui, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 196 | |
| 2 | 2011 | 193 | |
| 3 | 2010 | 189 | |
| 4 | 2009 | 189 | |
| 5 | 2017 | 165 | |
| 6 | 2017 | 108 | |
| 7 | 2020 | 98 | |
| 8 | 2014 | 94 | |
| 9 | 2010 | 85 | |
| 10 | 2012 | 83 | |
| 11 | 2005 | 82 | |
| 12 | 2010 | 81 | |
| 13 | 2012 | 75 | |
| 14 | 2017 | 72 | |
| 15 | 2007 | 71 | |
| 16 | 2005 | 66 | |
| 17 | 2021 | 63 | |
| 18 | 2015 | 59 | |
| 19 | 2009 | 53 | |
| 20 | 2005 | 49 |
About Jing Cui
Jing Cui is a scholar working on Rheumatology, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Genetics, having authored 142 papers that have together received 3.8k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (45 papers), Systemic Lupus Erythematosus Research (10 papers), Genetic Associations and Epidemiology (6 papers), Asthma and respiratory diseases (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Sinusitis and nasal conditions (4 papers) and Fluoride Effects and Removal (4 papers). The work is most often cited by research in Rheumatology (1.2k citations), Immunology (550 citations), Periodontics (84 citations), Physiology (440 citations) and Hematology (170 citations). Jing Cui has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nancy A. Shadick, Michael E. Weinblatt, Christine Iannaccone, Elizabeth W. Karlson, Michelle Frits, Karen H. Costenbader, Lori B. Chibnik, Bing Lü, Daniel H. Solomon and Elizabeth W. Karlson. Their work appears in journals such as Lara D. Veeken, Annals of the Rheumatic Diseases, Arthritis Care & Research, PLoS ONE 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.