Yan Ren

1.9k total citations · 1 hit paper
30 papers, 1.0k citations indexed

About

Yan Ren is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Yan Ren has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 15 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Yan Ren's work include Multiple Myeloma Research and Treatments (12 papers), Protein Degradation and Inhibitors (11 papers) and Peptidase Inhibition and Analysis (5 papers). Yan Ren is often cited by papers focused on Multiple Myeloma Research and Treatments (12 papers), Protein Degradation and Inhibitors (11 papers) and Peptidase Inhibition and Analysis (5 papers). Yan Ren collaborates with scholars based in China, United States and Switzerland. Yan Ren's co-authors include Maria Wang, Suzana S. Couto, Anjan Thakurta, Karen Miller, Antonia Lopez‐Girona, Emily Rychak, Gilles Carmel, Brian E. Cathers, Chad C. Bjorklund and Michael Amatangelo and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Yan Ren

29 papers receiving 1.0k citations

Hit Papers

Structure of the human Cereblon–DDB1–lenalidomide complex... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Ren China 12 841 588 338 114 56 30 1.0k
Slater N. Hurst United States 6 1.3k 1.5× 672 1.1× 440 1.3× 157 1.4× 72 1.3× 9 1.5k
Deanna A. Mele United States 8 1.0k 1.2× 393 0.7× 277 0.8× 187 1.6× 79 1.4× 14 1.2k
K. Martin Kortuem United States 10 667 0.8× 557 0.9× 276 0.8× 65 0.6× 53 0.9× 20 853
Derek Mendy United States 10 1.1k 1.3× 771 1.3× 518 1.5× 129 1.1× 131 2.3× 21 1.3k
Mahan Abbasian United States 9 637 0.8× 431 0.7× 281 0.8× 132 1.2× 78 1.4× 13 830
Guilhem Requirand France 15 561 0.7× 421 0.7× 225 0.7× 180 1.6× 90 1.6× 34 869
Ernesto Díaz-Flores United States 15 558 0.7× 305 0.5× 198 0.6× 153 1.3× 41 0.7× 29 859
Brandi Hilder United States 16 517 0.6× 674 1.1× 593 1.8× 154 1.4× 54 1.0× 43 978
Emily Rychak Japan 6 969 1.2× 669 1.1× 381 1.1× 85 0.7× 87 1.6× 10 1.1k
Huahang Sun United States 2 1.0k 1.2× 523 0.9× 335 1.0× 104 0.9× 64 1.1× 2 1.1k

Countries citing papers authored by Yan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Ren. A scholar is included among the top collaborators of Yan Ren 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 Ren. Yan Ren 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.
Ren, Yan, et al.. (2024). Effects of different concentrations of nicotinamide on hematopoietic stem cells cultured in vitro. World Journal of Stem Cells. 16(2). 163–175. 3 indexed citations
3.
Ren, Yan, et al.. (2024). Association of systemic immune inflammatory index with obesity and abdominal obesity: A cross-sectional study from NHANES. Nutrition Metabolism and Cardiovascular Diseases. 34(10). 2409–2419. 6 indexed citations
4.
Zhang, Miao, Yan Ren, Shuo Li, et al.. (2024). Human umbilical cord mesenchymal stem cells improve bone marrow hematopoiesis through regulation of bone marrow adipose tissue. Molecular and Cellular Biochemistry. 480(5). 3033–3049. 1 indexed citations
5.
Zheng, Chaofeng, Xiuhua Chen, Zhuang Liu, et al.. (2021). Quantification of JAK2V617F mutation load by droplet digital PCR can aid in diagnosis of myeloproliferative neoplasms. International Journal of Laboratory Hematology. 43(4). 645–650. 3 indexed citations
6.
Risueño, Alberto, Patrick R. Hagner, Fadi Towfic, et al.. (2020). Leveraging Gene Expression Subgroups to Classify DLBCL Patients and Enrich for Clinical Benefit to a Novel Agent. Blood. 135(13). 1008–1018. 11 indexed citations
7.
Lee, Chung-Wein, et al.. (2019). Multiplex immunofluorescence staining and image analysis assay for diffuse large B cell lymphoma. Journal of Immunological Methods. 478. 112714–112714. 38 indexed citations
9.
Zhang, Ying, Lin Tao, Yan Ren, et al.. (2018). Primary Cervical Malignant Melanoma: 2 Cases and a Literature Review. International Journal of Gynecological Pathology. 38(2). 196–203. 11 indexed citations
11.
Liang, Lijun, Lei Wang, Youyou Xia, et al.. (2017). Apatinib concurrent gemcitabine for controlling malignant ascites in advanced pancreatic cancer patient. Medicine. 96(47). e8725–e8725. 4 indexed citations
12.
Zhu, Yi, Jianguo Hu, Tinghe Yu, Yan Ren, & Lina Hu. (2016). High Molecular Weight Hyaluronic Acid Inhibits Fibrosis of Endometrium. Medical Science Monitor. 22. 3438–3445. 21 indexed citations
13.
Hu, Chaoying, Jingying Jia, Kelly Dong, et al.. (2015). Pharmacokinetics and Tolerability of Inhaled Umeclidinium and Vilanterol Alone and in Combination in Healthy Chinese Subjects: A Randomized, Open-Label, Crossover Trial. PLoS ONE. 10(3). e0121264–e0121264. 14 indexed citations
14.
Bjorklund, Chad C., Ling Lu, Jian Kang, et al.. (2015). Rate of CRL4CRBN substrate Ikaros and Aiolos degradation underlies differential activity of lenalidomide and pomalidomide in multiple myeloma cells by regulation of c-Myc and IRF4. Blood Cancer Journal. 5(10). e354–e354. 154 indexed citations
15.
Ren, Yan, Maria Wang, Suzana S. Couto, et al.. (2015). A Dual Color Immunohistochemistry Assay for Measurement of Cereblon in Multiple Myeloma Patient Samples. Applied immunohistochemistry & molecular morphology. 24(10). 695–702. 13 indexed citations
16.
Sehgal, Kartik, Rituparna Das, Lin Zhang, et al.. (2015). Clinical and pharmacodynamic analysis of pomalidomide dosing strategies in myeloma: impact of immune activation and cereblon targets. Blood. 125(26). 4042–4051. 91 indexed citations
17.
Chamberlain, Philip P., Antonia Lopez‐Girona, Karen Miller, et al.. (2014). Structure of the human Cereblon–DDB1–lenalidomide complex reveals basis for responsiveness to thalidomide analogs. Nature Structural & Molecular Biology. 21(9). 803–809. 371 indexed citations breakdown →
18.
Gandhi, Anita K., Derek Mendy, Michelle F. Waldman, et al.. (2013). Measuring cereblon as a biomarker of response or resistance to lenalidomide and pomalidomide requires use of standardized reagents and understanding of gene complexity. British Journal of Haematology. 164(2). 233–244. 71 indexed citations
19.
Ren, Yan. (2012). Preliminary study on the expression of CD4~+ and CD8~+ memory T cells subgroups and the levels of IL-17/IL-27 from patients′ peripheral blood with pulmonary tuberculosis. Zhongguo mianyixue zazhi. 1 indexed citations
20.
Tanaka, Kiyoji, Shinya Kamiuchi, Yan Ren, et al.. (2001). UV-induced skin carcinogenesis in xeroderma pigmentosum group A (XPA) gene-knockout mice with nucleotide excision repair-deficiency. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 477(1-2). 31–40. 23 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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