Hong Ji
- Immunology top 1%
- Molecular Biology top 5%
- Rheumatology top 1%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Christophe BenoıstMontserrat CampsChristian RommelDiane MathisClaude DegottVéronique DuchatelleAllison R. PettitEllen M. Gravallese
- Topics
- T-cell and B-cell Immunology (8 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)PI3K/AKT/mTOR signaling in cancer (4 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Hong Ji
34 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 1.9k
- Molecular Biology 1.8k
- Rheumatology 935
- Oncology 930
- Radiology, Nuclear Medicine and Imaging 580
Countries citing papers authored by Hong Ji
This map shows the geographic impact of Hong 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 Hong Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Ji more than expected).
Fields of papers citing papers by Hong Ji
This network shows the impact of papers produced by Hong 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 Hong Ji. The network helps show where Hong Ji may publish in the future.
Co-authorship network of co-authors of Hong Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Ji. A scholar is included among the top collaborators of Hong Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong Ji. Hong Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 7 | |
| 3 | 24 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 40 | |
| 7 | 99 | |
| 8 | [Rosai-Dorfman disease: clinicopathologic, immunohistochemical and etiologic study of 16 cases]. | 6 |
| 9 | 328 | |
| 10 | [Proteomic analysis of the ankle joint bone, ankle joint tissue and spinal cord of clubfoot-like deformity in rat fetuses]. | 4 |
| 11 | 11 | |
| 12 | Blockade of PI3Kγ suppresses joint inflammation and damage in mouse models of rheumatoid arthritisbreakdown → | 650 |
| 13 | 86 | |
| 14 | Arthritis Critically Dependent on Innate Immune System Playersbreakdown → | 563 |
| 15 | 282 | |
| 16 | TRANCE/RANKL Knockout Mice Are Protected from Bone Erosion in a Serum Transfer Model of Arthritisbreakdown → | 618 |
| 17 | 127 | |
| 18 | 51 | |
| 19 | From Systemic T Cell Self-Reactivity to Organ-Specific Autoimmune Disease via Immunoglobulinsbreakdown → | 571 |
| 20 | 32 |
About Hong Ji
Hong Ji is a scholar working on Immunology, Rheumatology and Immunology and Allergy, having authored 35 papers that have together received 4.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Immunology (1.9k citations), Rheumatology (935 citations) and Immunology and Allergy (362 citations). Hong Ji has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Christophe Benoıst, Montserrat Camps, Christian Rommel, Diane Mathis, Claude Degott, Véronique Duchatelle, Allison R. Pettit, Ellen M. Gravallese, Thierry Martin and Steven R. Goldring. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and The Journal of Experimental Medicine.
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.