Yan Su

1.2k citations
44 papers · 1.0k · h-index 20

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Allergic Rhinitis and Sensitization

Papers in

    • T-cell and B-cell Immunology 14
    • Immune Cell Function and Interaction 13
    • Immunotherapy and Immune Responses 6

Yan Su

43 papers receiving 1.0k citations

Peers

Yan Su
Comparison fields: 5 of 85
  • Immunology 467
  • Immunology and Allergy 101
  • Hematology 147
  • Oncology 209
  • Radiology, Nuclear Medicine and Imaging 104
Replace Todd Meyer with:
Todd Meyer United States
Anthony Secreto United States
Diego Alignani Spain
Russell B. Foxall Portugal
Jena Strauss‐Schoenberger United States
Christian H.K. Lehmann Germany
Barry D. Hock New Zealand
Tsuyoshi Tange Japan
Thomas R. Bauer United States
Chiara Buracchi Italy
Yan Su relative to Todd Meyer United States Todd Meyer's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Yan Su

Since Specialization
Citations

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

Fields of papers citing papers by Yan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014147
2 200668
3 201259
4 201748
5 202046
6 201345
7 201039
8 200937
9 201435
10 201635
11 200335
12 200534
13 200933
14 200732
15 201331
16 200529
17 200825
18 202023
19 200422
20 200619

About Yan Su

Yan Su is a scholar working on Immunology, Molecular Biology, Epidemiology, Oncology and Immunology and Allergy, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (6 papers), Allergic Rhinitis and Sensitization (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), CAR-T cell therapy research (5 papers) and Food Allergy and Anaphylaxis Research (5 papers). The work is most often cited by research in Immunology (467 citations), Immunology and Allergy (101 citations), Hematology (147 citations), Oncology (209 citations) and Radiology, Nuclear Medicine and Imaging (104 citations). Yan Su has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include David W. Scott, Ai-Hong Zhang, Jonathan Skupsky, Robert J. Rossi, Tiechi Lei, Anne S. De Groot, Sadiye Amcaoglu Rieder, Ruth A. Ettinger, Yong Chan Kim and Kathleen P. Pratt. Their work appears in journals such as Blood, The Journal of Immunology, Human Vaccines & Immunotherapeutics, Journal of Allergy and Clinical Immunology and Journal of General Virology.

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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