Riyan Chen

1.2k total citations
18 papers, 936 citations indexed

About

Riyan Chen is a scholar working on Immunology, Hematology and Genetics. According to data from OpenAlex, Riyan Chen has authored 18 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Hematology and 8 papers in Genetics. Recurrent topics in Riyan Chen's work include Blood disorders and treatments (8 papers), Acute Myeloid Leukemia Research (6 papers) and Immune Cell Function and Interaction (6 papers). Riyan Chen is often cited by papers focused on Blood disorders and treatments (8 papers), Acute Myeloid Leukemia Research (6 papers) and Immune Cell Function and Interaction (6 papers). Riyan Chen collaborates with scholars based in Canada, United States and Germany. Riyan Chen's co-authors include André Veillette, Sylvain Latour, Romain Roncagalli, Mario‐Ernesto Cruz‐Munoz, Pamela L. Schwartzberg, Dominique Davidson, Francis Relouzat, Yin Luo, Tarik Möröy and Zhongjun Dong and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Riyan Chen

18 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riyan Chen Canada 13 691 257 200 172 95 18 936
Shinji Sogo Japan 11 396 0.6× 141 0.5× 182 0.9× 100 0.6× 40 0.4× 21 638
Marijke Valkhof Netherlands 10 250 0.4× 185 0.7× 204 1.0× 90 0.5× 116 1.2× 14 516
S Cayeux Germany 17 542 0.8× 299 1.2× 249 1.2× 413 2.4× 246 2.6× 25 963
Francis Relouzat France 9 550 0.8× 308 1.2× 187 0.9× 216 1.3× 30 0.3× 20 910
Deborah Clarke United Kingdom 13 275 0.4× 162 0.6× 441 2.2× 124 0.7× 52 0.5× 20 719
Paola Castiglioni United States 15 360 0.5× 88 0.3× 171 0.9× 125 0.7× 42 0.4× 17 535
Lynn Heltemes-Harris United States 15 395 0.6× 123 0.5× 202 1.0× 179 1.0× 49 0.5× 23 695
JG van de Winkel Netherlands 10 530 0.8× 82 0.3× 294 1.5× 130 0.8× 49 0.5× 15 831
Barbara H. Barendregt Netherlands 14 389 0.6× 103 0.4× 176 0.9× 73 0.4× 147 1.5× 18 674
Freke M. Kloosterboer Netherlands 8 532 0.8× 347 1.4× 106 0.5× 201 1.2× 88 0.9× 10 674

Countries citing papers authored by Riyan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Riyan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riyan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Riyan Chen. A scholar is included among the top collaborators of Riyan Chen 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 Riyan Chen. Riyan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Fraszczak, Jennifer, et al.. (2022). The X-Linked Helicase DDX3X Is Required for Lymphoid Differentiation and MYC-Driven Lymphomagenesis. Cancer Research. 82(17). 3172–3186. 8 indexed citations
2.
Fraszczak, Jennifer, Charles Joly-Beauparlant, Halil Bagci, et al.. (2021). GFI1 tethers the NuRD complex to open and transcriptionally active chromatin in myeloid progenitors. Communications Biology. 4(1). 1356–1356. 7 indexed citations
3.
Shooshtarizadeh, Peiman, Charles Vadnais, Nelleke P.M. Brouwer, et al.. (2019). Gfi1b regulates the level of Wnt/β-catenin signaling in hematopoietic stem cells and megakaryocytes. Nature Communications. 10(1). 1270–1270. 26 indexed citations
4.
Vadnais, Charles, Riyan Chen, Jennifer Fraszczak, et al.. (2019). A novel regulatory circuit between p53 and GFI1 controls induction of apoptosis in T cells. Scientific Reports. 9(1). 6304–6304. 14 indexed citations
5.
Fraszczak, Jennifer, Charles Vadnais, Marissa Rashkovan, et al.. (2018). Reduced expression but not deficiency of GFI1 causes a fatal myeloproliferative disease in mice. Leukemia. 33(1). 110–121. 15 indexed citations
6.
Vadnais, Charles, Riyan Chen, Jennifer Fraszczak, et al.. (2018). GFI1 facilitates efficient DNA repair by regulating PRMT1 dependent methylation of MRE11 and 53BP1. Nature Communications. 9(1). 1418–1418. 45 indexed citations
7.
Fraszczak, Jennifer, Riyan Chen, Charles Vadnais, et al.. (2016). Threshold Levels of Gfi1 Maintain E2A Activity for B Cell Commitment via Repression of Id1. PLoS ONE. 11(7). e0160344–e0160344. 12 indexed citations
8.
Khandanpour, Cyrus, James D. Phelan, Lothar Vaßen, et al.. (2013). Growth Factor Independence 1 Antagonizes a p53-Induced DNA Damage Response Pathway in Lymphoblastic Leukemia. Cancer Cell. 23(2). 200–214. 57 indexed citations
9.
Khandanpour, Cyrus, Judith Schütte, Frederique Bouwman, et al.. (2012). The human GFI136N variant induces epigenetic changes at the Hoxa9 locus and accelerates K-RAS driven myeloproliferative disorder in mice. Blood. 120(19). 4006–4017. 33 indexed citations
10.
Heyd, Florian, et al.. (2011). The p150 subunit of the histone chaperone Caf-1 interacts with the transcriptional repressor Gfi1. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1809(4-6). 255–261. 9 indexed citations
11.
Khandanpour, Cyrus, Frederique Bouwman, Lothar Vaßen, et al.. (2011). The Growth Factor Independence 1 variant form GFI136N Predisposes to Acute Myeloid Leukemia by Inducing Epigenetic Changes in Oncogenes Such As Hoxa9. Blood. 118(21). 223–223. 4 indexed citations
12.
Dong, Zhongjun, Mario‐Ernesto Cruz‐Munoz, Ming‐Chao Zhong, et al.. (2009). Essential function for SAP family adaptors in the surveillance of hematopoietic cells by natural killer cells. Nature Immunology. 10(9). 973–980. 107 indexed citations
13.
Chen, Riyan, et al.. (2006). Association between SAP and FynT: Inducible SH3 Domain-Mediated Interaction Controlled by Engagement of the SLAM Receptor. Molecular and Cellular Biology. 26(15). 5559–5568. 31 indexed citations
14.
Roncagalli, Romain, Shaohua Zhang, Riyan Chen, et al.. (2005). Negative regulation of natural killer cell function by EAT-2, a SAP-related adaptor. Nature Immunology. 6(10). 1002–1010. 127 indexed citations
15.
Bloch‐Queyrat, Coralie, Marie‐Claude Fondanèche, Riyan Chen, et al.. (2005). Regulation of natural cytotoxicity by the adaptor SAP and the Src-related kinase Fyn. The Journal of Experimental Medicine. 202(1). 181–192. 95 indexed citations
16.
Chen, Riyan, Francis Relouzat, Romain Roncagalli, et al.. (2004). Molecular Dissection of 2B4 Signaling: Implications for Signal Transduction by SLAM-Related Receptors. Molecular and Cellular Biology. 24(12). 5144–5156. 99 indexed citations
17.
Latour, Sylvain, Romain Roncagalli, Riyan Chen, et al.. (2003). Binding of SAP SH2 domain to FynT SH3 domain reveals a novel mechanism of receptor signalling in immune regulation. Nature Cell Biology. 5(2). 149–154. 237 indexed citations
18.
Chen, Riyan, et al.. (1998). CYTOSKELETAL CHANGES IN PLATELETS INDUCED BY THROMBIN AND PHORBOL MYRISTATE ACETATE (PMA). Cell Biology International. 22(6). 429–435. 10 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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