Cong Ye

524 citations
19 papers · 382 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • IgG4-Related and Inflammatory Diseases 3
    • Rheumatoid Arthritis Research and Therapies 2
    • Immune Cell Function and Interaction 1
    • Immunodeficiency and Autoimmune Disorders 1
    • Macrophage Migration Inhibitory Factor 1

Cong Ye

17 papers receiving 377 citations

Peers

Cong Ye
Comparison fields: 5 of 61
  • Immunology 191
  • Physiology 23
  • Cancer Research 55
  • Rheumatology 48
  • Oncology 67
Replace Huiyan Cheng with:
Huiyan Cheng China
Antonio Rosal‐Vela Spain
Tina Raselli Switzerland
Sabrina Gruber Austria
Alina Alshevskaya Russia
Corinne E. Decker United States
Guanghua Chen China
Allyson G. McLoed United States
Qianru Huang China
Jamie A. Saxon United States
Cong Ye relative to Huiyan Cheng China Huiyan Cheng's profile →
Citations per field
00.5×2×4×6×8×9×
Huiyan Cheng · 1×
Citations per year

Countries citing papers authored by Cong Ye

Since Specialization
Citations

This map shows the geographic impact of Cong Ye'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 Cong Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Ye more than expected).

Fields of papers citing papers by Cong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cong Ye. 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 Cong Ye. The network helps show where Cong Ye may publish in the future.

Co-authors

The 25 scholars most cited alongside Cong Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cong Ye Line = papers co-authored together Cong Ye links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201489
2 201686
3 201563
4 201922
5 201822
6
The presence of P2RX7 single nuclear polymorphism is associated with a gain of function in P2X7 receptor and inflammasome activation in SLE complicated with pericarditis.
202018
7 202315
8 202515
9 201913
10 202510
11 20257
12 20247
13 20254
14 20254
15 20244
16 20201
17 20181
18 20251
19 20250

About Cong Ye

Cong Ye is a scholar working on Rheumatology, Immunology, Internal Medicine, Orthodontics and Gastroenterology, having authored 19 papers that have together received 382 indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Immune Cell Function and Interaction (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Gastrointestinal disorders and treatments (1 paper), Infection Control in Healthcare (1 paper), Macrophage Migration Inhibitory Factor (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Immunology (191 citations), Physiology (23 citations), Cancer Research (55 citations), Rheumatology (48 citations) and Oncology (67 citations). Cong Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Zhang, Siqi Chen, Timothy Michael Kuzel, Jie Fan, Yi Zhang, Donye Dominguez, Zhe Geng, DeYu Fang, Alan Long and Lei Qin. Their work appears in journals such as Annals of the Rheumatic Diseases, International Immunopharmacology, The Journal of Immunology, Advanced Science and Cancer Research.

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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