Xiao‐Jie Yan

4.5k total citations
93 papers, 2.6k citations indexed

About

Xiao‐Jie Yan is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Xiao‐Jie Yan has authored 93 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Genetics, 57 papers in Immunology and 26 papers in Molecular Biology. Recurrent topics in Xiao‐Jie Yan's work include Chronic Lymphocytic Leukemia Research (64 papers), Immunodeficiency and Autoimmune Disorders (27 papers) and Monoclonal and Polyclonal Antibodies Research (26 papers). Xiao‐Jie Yan is often cited by papers focused on Chronic Lymphocytic Leukemia Research (64 papers), Immunodeficiency and Autoimmune Disorders (27 papers) and Monoclonal and Polyclonal Antibodies Research (26 papers). Xiao‐Jie Yan collaborates with scholars based in United States, Italy and United Kingdom. Xiao‐Jie Yan's co-authors include Nicholas Chiorazzi, R. Kanti, Steven L. Allen, Jonathan E. Kolitz, Sophia Yancopoulos, Takehiko Uchiyama, Emilia Albesiano, Michael K. Racke, Elliot M. Frohman and Shawn P. O’Neil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Xiao‐Jie Yan

86 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Jie Yan United States 28 1.6k 1.1k 863 583 387 93 2.6k
Nobuhiro Tsukada Japan 20 1.2k 0.8× 1.2k 1.1× 458 0.5× 750 1.3× 658 1.7× 140 2.9k
Mary Stenson United States 23 882 0.6× 502 0.5× 884 1.0× 677 1.2× 743 1.9× 44 2.2k
Elaine J. Schattner United States 19 1.1k 0.7× 539 0.5× 565 0.7× 497 0.9× 665 1.7× 31 2.0k
Douglas C. Saffran United States 17 1.9k 1.2× 1.1k 1.1× 217 0.3× 890 1.5× 509 1.3× 33 3.2k
Aaron J. Marshall Canada 30 1.3k 0.8× 493 0.5× 192 0.2× 1.1k 1.9× 372 1.0× 86 2.5k
Anne B. Satterthwaite United States 31 2.5k 1.6× 820 0.8× 301 0.3× 1.1k 1.9× 445 1.1× 57 3.7k
Mitsuru Tsudo Japan 27 2.1k 1.4× 258 0.2× 402 0.5× 532 0.9× 862 2.2× 75 3.1k
Meike Burger Germany 29 1.8k 1.1× 1.2k 1.2× 650 0.8× 1.1k 2.0× 1.7k 4.4× 46 3.6k
Andréas Tsapis France 29 1.3k 0.8× 346 0.3× 276 0.3× 885 1.5× 607 1.6× 71 2.8k
Roland Grenningloh United States 22 739 0.5× 332 0.3× 277 0.3× 414 0.7× 259 0.7× 39 1.4k

Countries citing papers authored by Xiao‐Jie Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Jie Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Jie Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Jie Yan. A scholar is included among the top collaborators of Xiao‐Jie Yan 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 Xiao‐Jie Yan. Xiao‐Jie Yan 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.
Liu, Yan, Dzmitry Padhorny, Rosa Catera, et al.. (2025). Conventional and non-conventional antigen-binding sites promote the development and function of chronic lymphocytic leukemia stereotyped subset #4 clones. Frontiers in Immunology. 16. 1607189–1607189.
3.
Ferrer, Gerardo, Rukhsana Aslam, Florencia Palacios, et al.. (2021). Myeloid-derived suppressor cell subtypes differentially influence T-cell function, T-helper subset differentiation, and clinical course in CLL. Leukemia. 35(11). 3163–3175. 37 indexed citations
4.
Morande, Pablo Elías, Xiao‐Jie Yan, Cecilia Abreu, et al.. (2021). AID overexpression leads to aggressive murine CLL and nonimmunoglobulin mutations that mirror human neoplasms. Blood. 138(3). 246–258. 8 indexed citations
5.
Palacios, Florencia, Xiao‐Jie Yan, Gerardo Ferrer, et al.. (2021). Musashi 2 influences chronic lymphocytic leukemia cell survival and growth making it a potential therapeutic target. Leukemia. 35(4). 1037–1052. 18 indexed citations
6.
Wang, Jinghan, Wenle Ye, Xiao‐Jie Yan, et al.. (2019). Low expression of ACLY associates with favorable prognosis in acute myeloid leukemia. Journal of Translational Medicine. 17(1). 149–149. 32 indexed citations
8.
Burger, Jan A., Kelvin W. Li, Michael J. Keating, et al.. (2017). Leukemia cell proliferation and death in chronic lymphocytic leukemia patients on therapy with the BTK inhibitor ibrutinib. JCI Insight. 2(2). e89904–e89904. 69 indexed citations
9.
10.
Patten, Piers, Gerardo Ferrer, Shih‐Shih Chen, et al.. (2016). Chronic lymphocytic leukemia cells diversify and differentiate in vivo via a nonclassical Th1-dependent, Bcl-6–deficient process. JCI Insight. 1(4). 28 indexed citations
11.
Herrin, Brantley R., Matthew N. Alder, Rosa Catera, et al.. (2013). Chronic Lymphocytic Leukemia Monitoring with a Lamprey Idiotope-Specific Antibody. Cancer Immunology Research. 1(4). 223–228. 12 indexed citations
12.
Cesano, Alessandra, Omar Perbellini, Charles C. Chu, et al.. (2012). Association between B-cell receptor responsiveness and disease progression in B-cell chronic lymphocytic leukemia: results from single cell network profiling studies. Haematologica. 98(4). 626–634. 23 indexed citations
13.
Bagnara, Davide, Matthew Kaufman, Carlo Calissano, et al.. (2011). A novel adoptive transfer model of chronic lymphocytic leukemia suggests a key role for T lymphocytes in the disease. Blood. 117(20). 5463–5472. 145 indexed citations
14.
Calissano, Carlo, Rajendra N. Damle, Sonia Marsilio, et al.. (2011). Intraclonal Complexity in Chronic Lymphocytic Leukemia: Fractions Enriched in Recently Born/Divided and Older/Quiescent Cells. Molecular Medicine. 17(11-12). 1374–1382. 129 indexed citations
15.
Chu, Charles C., Lu Zhang, Sébastien Didier, et al.. (2011). Torque Teno Virus 10 Isolated by Genome Amplification Techniques from a Patient with Concomitant Chronic Lymphocytic Leukemia and Polycythemia Vera. Molecular Medicine. 17(11-12). 1338–1348. 13 indexed citations
16.
Nacionales, Dina C., Jason S. Weinstein, Xiao‐Jie Yan, et al.. (2009). B Cell Proliferation, Somatic Hypermutation, Class Switch Recombination, and Autoantibody Production in Ectopic Lymphoid Tissue in Murine Lupus. The Journal of Immunology. 182(7). 4226–4236. 52 indexed citations
17.
Weinstein, Jason S., Dina C. Nacionales, Pui Y. Lee, et al.. (2008). Colocalization of Antigen-Specific B and T Cells within Ectopic Lymphoid Tissue following Immunization with Exogenous Antigen. The Journal of Immunology. 181(5). 3259–3267. 16 indexed citations
18.
Foell, Juergen, Shawn P. O’Neil, Megan McCausland, et al.. (2003). CD137 costimulatory T cell receptor engagement reverses acute disease in lupus-prone NZB × NZW F1 mice. Journal of Clinical Investigation. 111(10). 1505–1518. 133 indexed citations
19.
Foell, Juergen, Shawn P. O’Neil, Megan McCausland, et al.. (2003). CD137 costimulatory T cell receptor engagement reverses acute disease in lupus-prone NZB × NZW F1 mice. Journal of Clinical Investigation. 111(10). 1505–1518. 145 indexed citations
20.
Gurrieri, Carmela, Peter J. McGuire, Hong Zan, et al.. (2002). Chronic Lymphocytic Leukemia B Cells Can Undergo Somatic Hypermutation and Intraclonal Immunoglobulin VHDJH Gene Diversification. The Journal of Experimental Medicine. 196(5). 629–639. 77 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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