Y Qin

516 citations
8 papers · 411 · h-index 6

Impact in

    • Multiple Sclerosis Research Studies
    • Lymphoma Diagnosis and Treatment
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

Y Qin

8 papers receiving 408 citations

Peers

Y Qin
Comparison fields: 5 of 42
  • Pathology and Forensic Medicine 251
  • Immunology 251
  • Neurology 73
  • Radiology, Nuclear Medicine and Imaging 75
  • Neurology 26
Replace Shengzhi Wang with:
Shengzhi Wang China
Michitaro Ichikawa Japan
Tom Button United Kingdom
Mercedes Espiño Spain
César Álvarez-González United Kingdom
Dejan Milosavljevic Austria
Shivanee Shah United States
Adipong Brickshawana United States
Kinneret Rosenblatt Israel
Sachin Malhotra United States
Y Qin relative to Shengzhi Wang China Shengzhi Wang's profile →
Citations per field
00.5×1.6×
Shengzhi Wang · 1×
Citations per year

Countries citing papers authored by Y Qin

Since Specialization
Citations

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

Fields of papers citing papers by Y Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Y Qin, 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 Y Qin Line = papers co-authored together Y Qin links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1998266
2
Low-grade B cell lymphomas of mucosa-associated lymphoid tissue (MALT-type) require CD40-mediated signaling and Th2-type cytokines for in vitro growth and differentiation.
1997101
3 199818
4 20248
5 20236
6
Autoantigen receptors in extranodal non-Hodgkin B-cell lymphomas.
19965
7 20244
8 20243

About Y Qin

Y Qin is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Automotive Engineering, having authored 8 papers that have together received 411 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (2 papers), Galectins and Cancer Biology (1 paper), Plant nutrient uptake and metabolism (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Plant Stress Responses and Tolerance (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (251 citations), Immunology (251 citations), Neurology (73 citations), Radiology, Nuclear Medicine and Imaging (75 citations) and Neurology (26 citations). Y Qin has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Pierre J. Talbot, Robin Poole, Pierre Duquette, Jack P. Antel, Andreas Greiner, Anneliese Schimpl, Jacques Banchereau, H K Müller‐Hermelink, Walter Sebald and Richard A. Kroczek. Their work appears in journals such as Planta, Journal of Clinical Investigation, Annals of Oncology, Nature Protocols and Composites Communications.

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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