Hong Ji

4.9k total citations · 4 hit papers
35 papers, 4.1k citations indexed

About

Hong Ji is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Hong Ji has authored 35 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 11 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Hong Ji's 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). Hong Ji is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Hong Ji collaborates with scholars based in China, Switzerland and United States. Hong Ji's co-authors include Christophe Benoıst, Montserrat Camps, Christian Rommel, Diane Mathis, Véronique Duchatelle, Claude Degott, Ellen M. Gravallese, Allison R. Pettit, Thierry Martin and Ralph Müller and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Hong Ji

34 papers receiving 4.0k citations

Hit Papers

Blockade of PI3Kγ suppres... 1999 2026 2008 2017 2005 2001 1999 2002 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hong Ji China 21 1.9k 1.8k 935 930 580 35 4.1k
Roy A. Fava United States 24 1.6k 0.9× 1.5k 0.9× 608 0.7× 1.1k 1.2× 380 0.7× 35 4.0k
Vasileios C. Kyttaris United States 42 3.8k 2.0× 918 0.5× 2.7k 2.9× 885 1.0× 459 0.8× 116 5.2k
Cheryl Nickerson‐Nutter United States 28 1.8k 1.0× 774 0.4× 451 0.5× 572 0.6× 175 0.3× 44 3.2k
M. Asif Amin United States 32 1.0k 0.5× 1.2k 0.7× 524 0.6× 707 0.8× 170 0.3× 61 2.8k
Sophie Tartare‐Deckert France 37 807 0.4× 2.5k 1.4× 286 0.3× 1.1k 1.2× 169 0.3× 63 4.0k
Rossella Paolini Italy 33 1.9k 1.0× 979 0.6× 113 0.1× 862 0.9× 423 0.7× 116 3.3k
Jinlu Dai United States 33 677 0.4× 2.1k 1.2× 215 0.2× 2.4k 2.6× 403 0.7× 58 4.5k
Tong Zhou United States 26 1.5k 0.8× 1.3k 0.7× 470 0.5× 473 0.5× 411 0.7× 68 2.9k
J. David Becherer United States 35 1.1k 0.6× 2.0k 1.1× 208 0.2× 1.4k 1.5× 406 0.7× 51 4.4k
Roberta Faccio United States 39 1.3k 0.7× 2.9k 1.6× 332 0.4× 2.0k 2.1× 110 0.2× 86 4.8k

Countries citing papers authored by Hong Ji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ji, Hong, et al.. (2021). The Clinical Manifestation Variety and Management Choice of Meckel’s Diverticulum with Complication: A Single Center Experience. Gastroenterology Research and Practice. 2021. 1–4. 11 indexed citations
2.
Ji, Hong, et al.. (2015). A weighted method for estimation of receptor occupancy for pharmacodynamic measurements in drug development. Cytometry Part B Clinical Cytometry. 90(2). 220–229. 7 indexed citations
3.
Haselmayer, Philipp, Montserrat Camps, Samer El Bawab, et al.. (2014). Characterization of Novel PI3Kδ Inhibitors as Potential Therapeutics for SLE and Lupus Nephritis in Pre-Clinical Studies. Frontiers in Immunology. 5. 233–233. 24 indexed citations
4.
Sato, Takehiro, Montserrat Camps, Hong Ji, et al.. (2014). ASK1 promotes the contact hypersensitivity response through IL-17 production. Scientific Reports. 4(1). 12 indexed citations
5.
Liu, Xin, Yuan Wang, Yanhong Xing, et al.. (2013). Design, Synthesis, and Pharmacological Characterization of Novel Endomorphin-1 Analogues as Extremely Potent μ-Opioid Agonists. Journal of Medicinal Chemistry. 56(7). 3102–3114. 32 indexed citations
6.
Ji, Hong, et al.. (2012). Rosai-Dorfman Disease of the Lung. Respiratory Care. 57(10). 1679–1681. 10 indexed citations
7.
Ji, Hong, et al.. (2010). Bariatric Surgery in Canada: A Focus on Day Surgery Procedures. Healthcare Quarterly. 13(3). 15–18. 6 indexed citations
8.
Ji, Hong, Jeff Coleman, Rong Yang, et al.. (2010). Protein Determinants of SNARE-Mediated Lipid Mixing. Biophysical Journal. 99(2). 553–560. 40 indexed citations
9.
Yu, Jianbo, Weiping Liu, Zhuo Zuo, et al.. (2007). [Rosai-Dorfman disease: clinicopathologic, immunohistochemical and etiologic study of 16 cases].. PubMed. 36(1). 33–8. 6 indexed citations
10.
Rommel, Christian, Montserrat Camps, & Hong Ji. (2007). PI3Kδ and PI3Kγ: partners in crime in inflammation in rheumatoid arthritis and beyond?. Nature reviews. Immunology. 7(3). 191–201. 328 indexed citations
11.
Ji, Hong, et al.. (2007). [Proteomic analysis of the ankle joint bone, ankle joint tissue and spinal cord of clubfoot-like deformity in rat fetuses].. PubMed. 24(1). 52–8. 4 indexed citations
12.
Ji, Hong, Felix Rintelen, Caroline Waltzinger, et al.. (2007). Inactivation of PI3Kγ and PI3Kδ distorts T-cell development and causes multiple organ inflammation. Blood. 110(8). 2940–2947. 98 indexed citations
13.
Ji, Hong, Hong Shen, Julia Uhanova, et al.. (2005). Effects of sildenafil citrate on hepatic function and regeneration in normal and alcohol‐fed rats. Liver International. 25(4). 913–919. 11 indexed citations
14.
Pasquali, Christian, Hong Ji, Corine Gilliéron, et al.. (2004). Involvement of Phosphoinositide 3-Kinase γ, Rac, and PAK Signaling in Chemokine-induced Macrophage Migration. Journal of Biological Chemistry. 279(41). 43273–43284. 86 indexed citations
15.
Ji, Hong, Koichiro Ohmura, Umar Mahmood, et al.. (2002). Arthritis Critically Dependent on Innate Immune System Players. Immunity. 16(2). 157–168. 563 indexed citations breakdown →
16.
Ji, Hong, Allison R. Pettit, Koichiro Ohmura, et al.. (2002). Critical Roles for Interleukin 1 and Tumor Necrosis Factor α in Antibody-induced Arthritis. The Journal of Experimental Medicine. 196(1). 77–85. 282 indexed citations
17.
Ji, Hong, Dominique Gauguier, Koichiro Ohmura, et al.. (2001). Genetic Influences on the End-Stage Effector Phase of Arthritis. The Journal of Experimental Medicine. 194(3). 321–330. 127 indexed citations
18.
Pettit, Allison R., Hong Ji, D. von Stechow, et al.. (2001). TRANCE/RANKL Knockout Mice Are Protected from Bone Erosion in a Serum Transfer Model of Arthritis. American Journal Of Pathology. 159(5). 1689–1699. 618 indexed citations breakdown →
19.
Korganow, Anne‐Sophie, Hong Ji, Sara Mangialaio, et al.. (1999). From Systemic T Cell Self-Reactivity to Organ-Specific Autoimmune Disease via Immunoglobulins. Immunity. 10(4). 451–461. 571 indexed citations breakdown →
20.
Mangialaio, Sara, et al.. (1999). The arthritogenic T cell receptor and its ligand in a model of spontaneous arthritis. Arthritis & Rheumatism. 42(12). 2517–2523. 51 indexed citations

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.

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