Yan Su

1.2k total citations
44 papers, 987 citations indexed

About

Yan Su is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Yan Su has authored 44 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Yan Su's work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers) and Immunotherapy and Immune Responses (6 papers). Yan Su is often cited by papers focused on T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers) and Immunotherapy and Immune Responses (6 papers). Yan Su collaborates with scholars based in United States, China and Netherlands. Yan Su's co-authors include David W. Scott, Ai-Hong Zhang, Jonathan Skupsky, Tiechi Lei, Robert J. Rossi, Anne S. De Groot, Sadiye Amcaoglu Rieder, Kathleen P. Pratt, Ruth A. Ettinger and Yong Chan Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Yan Su

43 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Su United States 19 462 242 204 146 131 44 987
L Gemmell United States 9 523 1.1× 238 1.0× 204 1.0× 230 1.6× 112 0.9× 10 995
Michael D. Solga United States 13 556 1.2× 177 0.7× 128 0.6× 81 0.6× 83 0.6× 24 1.1k
Christian H.K. Lehmann Germany 23 975 2.1× 484 2.0× 343 1.7× 102 0.7× 90 0.7× 52 1.5k
Chiara Buracchi Italy 14 665 1.4× 248 1.0× 359 1.8× 152 1.0× 99 0.8× 25 1.1k
Jena Strauss‐Schoenberger United States 7 637 1.4× 265 1.1× 91 0.4× 88 0.6× 60 0.5× 9 1.0k
G. Reisbach Germany 16 458 1.0× 258 1.1× 511 2.5× 156 1.1× 81 0.6× 26 1.1k
Tsuyoshi Tange Japan 12 367 0.8× 413 1.7× 256 1.3× 208 1.4× 133 1.0× 26 1.2k
Sonia Néron Canada 19 702 1.5× 428 1.8× 146 0.7× 234 1.6× 127 1.0× 51 1.3k
Michael Gombert Germany 17 1.3k 2.7× 249 1.0× 302 1.5× 123 0.8× 147 1.1× 28 1.8k
Barry D. Hock New Zealand 23 1.1k 2.4× 428 1.8× 252 1.2× 91 0.6× 46 0.4× 62 1.5k

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-authorship network of co-authors of Yan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Su. A scholar is included among the top collaborators of Yan Su 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 Yan Su. Yan Su 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
2.
Wang, Yanan, Fengqi Liu, Gaochao Zhang, et al.. (2020). Gut microbiome alterations and its link to corticosteroid resistance in immune thrombocytopenia. Science China Life Sciences. 64(5). 766–783. 19 indexed citations
3.
Liu, Hong, Haolin Chen, Zhijia Liu, et al.. (2020). Therapeutic nanovaccines sensitize EBV-associated tumors to checkpoint blockade therapy. Biomaterials. 255. 120158–120158. 44 indexed citations
4.
Su, Yan, Janet M. Denbeigh, Emily T. Camilleri, et al.. (2017). Extracellular matrix protein production in human adipose-derived mesenchymal stem cells on three-dimensional polycaprolactone (PCL) scaffolds responds to GDF5 or FGF2. Gene Reports. 10. 149–156. 17 indexed citations
5.
Su, Yan, et al.. (2017). Safety and long-term immunological effects of CryJ2-LAMP plasmid vaccine in Japanese red cedar atopic subjects: A phase I study. Human Vaccines & Immunotherapeutics. 13(12). 2804–2813. 46 indexed citations
6.
7.
Su, Yan, et al.. (2016). CryJ-LAMP DNA Vaccines for Japanese Red Cedar Allergy Induce Robust Th1-Type Immune Responses in Murine Model. Journal of Immunology Research. 2016. 1–15. 33 indexed citations
8.
Chen, Wen, Haiyang Huang, Ying Zhang, et al.. (2016). Fasudil inhibits tissue factor and plasminogen activator Inhibitor-1 secretion by peripheral blood mononuclear cells in CAPD patients. Renal Failure. 38(9). 1359–1363. 3 indexed citations
9.
Su, Yan, Longxiang Shen, Jian Ding, et al.. (2016). Comparison of percutaneous vertebroplasty with and without interventional tumor removal for spinal metastatic tumor without epidural involvement. Journal of bone oncology. 6. 1–7. 4 indexed citations
10.
Scott, David W., Ai-Hong Zhang, & Yan Su. (2012). B-Cell Based Gene Therapy for Autoimmune Diseases. Infectious Disorders - Drug Targets. 12(3). 241–247. 7 indexed citations
11.
Cousens, Leslie P., Federico Mingozzi, Sander van der Marel, et al.. (2012). Teaching tolerance. Human Vaccines & Immunotherapeutics. 8(10). 1459–1464. 15 indexed citations
12.
Su, Yan, Ai-Hong Zhang, Nancy Noben-Trauth, & David W. Scott. (2011). B-Cell Gene Therapy for Tolerance Induction: Host but Not Donor B-Cell Derived IL-10 is Necessary for Tolerance. Frontiers in Microbiology. 2. 154–154. 11 indexed citations
13.
Zhang, Ai-Hong, Olusegun O. Onabajo, Yan Su, et al.. (2010). B-cell delivered gene therapy for tolerance induction: Role of autoantigen-specific B cells. Journal of Autoimmunity. 35(2). 107–113. 16 indexed citations
14.
Skupsky, Jonathan, Ai-Hong Zhang, Yan Su, & David W. Scott. (2009). A role for thrombin in the initiation of the immune response to therapeutic factor VIII. Blood. 114(21). 4741–4748. 37 indexed citations
15.
Birjandi, Shirin, et al.. (2009). Migration of immature and mature B cells in the aged microenvironment. Immunology. 129(2). 278–290. 32 indexed citations
16.
Su, Yan, Gregory B. Carey, Maja Marić, & David W. Scott. (2008). B Cells Induce Tolerance by Presenting Endogenous Peptide-IgG on MHC Class II Molecules via an IFN-γ-Inducible Lysosomal Thiol Reductase-Dependent Pathway. The Journal of Immunology. 181(2). 1153–1160. 23 indexed citations
17.
Groot, Anne S. De, Leonard Moise, Yan Su, et al.. (2008). IgG-Derived Tregitope Peptides Suppress T Cell Responses in Vitro and in Vivo. Blood. 112(11). 677–677. 1 indexed citations
18.
Cvetanović, Marija, Vimal Patel, Yan Su, et al.. (2006). Specific Recognition of Apoptotic Cells Reveals a Ubiquitous and Unconventional Innate Immunity. Journal of Biological Chemistry. 281(29). 20055–20067. 65 indexed citations
19.
Litzinger, Mary, et al.. (2005). Mechanisms of Gene Therapy for Tolerance: B7 Signaling Is Required for Peptide-IgG Gene-Transferred Tolerance Induction. The Journal of Immunology. 175(2). 780–787. 34 indexed citations
20.
Pang, Alan Lap‐Yin, Warren E. Johnson, Stefanie Alexander, et al.. (2003). Identification of Differentially Expressed Genes in Mouse Spermatogenesis. Journal of Andrology. 24(6). 899–911. 34 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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