Ruilan Yan

1.3k total citations
19 papers, 1.1k citations indexed

About

Ruilan Yan is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Ruilan Yan has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cell Biology and 8 papers in Oncology. Recurrent topics in Ruilan Yan's work include Aldose Reductase and Taurine (8 papers), Cancer-related Molecular Pathways (6 papers) and Prenatal Substance Exposure Effects (5 papers). Ruilan Yan is often cited by papers focused on Aldose Reductase and Taurine (8 papers), Cancer-related Molecular Pathways (6 papers) and Prenatal Substance Exposure Effects (5 papers). Ruilan Yan collaborates with scholars based in United States, China and Germany. Ruilan Yan's co-authors include Deliang Cao, Klaus Strebhardt, Juping Yuan, Andrea Krämer, Jun Ma, Duan‐Fang Liao, Xuyu Zu, Manfred Kaufmann, Ziwen Liu and Marc Roller and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Biochemical Journal.

In The Last Decade

Ruilan Yan

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruilan Yan United States 13 725 505 197 168 166 19 1.1k
M. Gloria Luciani United Kingdom 15 812 1.1× 187 0.4× 519 2.6× 39 0.2× 163 1.0× 18 1.2k
Adriana De Siervi Argentina 22 1.1k 1.5× 90 0.2× 245 1.2× 91 0.5× 357 2.2× 55 1.4k
Thomas Jascur United States 18 1.0k 1.4× 115 0.2× 390 2.0× 25 0.1× 188 1.1× 25 1.4k
Ewa Marcinkowska Poland 24 746 1.0× 126 0.2× 155 0.8× 25 0.1× 89 0.5× 71 1.3k
Zheng Cui United States 15 350 0.5× 88 0.2× 161 0.8× 44 0.3× 54 0.3× 31 885
Pamela A. Havre United States 20 897 1.2× 85 0.2× 379 1.9× 23 0.1× 267 1.6× 33 1.4k
Xu Di United States 19 790 1.1× 102 0.2× 336 1.7× 19 0.1× 216 1.3× 25 1.4k
Kiyoko Shinkai Japan 23 1.0k 1.4× 276 0.5× 269 1.4× 13 0.1× 152 0.9× 41 1.4k
Xupeng Bai China 15 874 1.2× 86 0.2× 386 2.0× 30 0.2× 426 2.6× 25 1.4k
İbrahim Tekedereli Türkiye 14 567 0.8× 79 0.2× 114 0.6× 24 0.1× 155 0.9× 39 970

Countries citing papers authored by Ruilan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ruilan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruilan Yan

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

All Works

19 of 19 papers shown
1.
Yan, Ruilan, Dingjiacheng Jia, Yinliang Qi, Qiwen Wang, & Shujie Chen. (2025). Intestinal tissue-resident memory T cells: Characteristics, spatial heterogeneity, age-related dynamics, and roles in disease regulation. Journal of Advanced Research. 79. 535–547. 1 indexed citations
2.
Ježek, Jan, Kun Wang, Ruilan Yan, et al.. (2019). Synergistic repression of thyroid hyperplasia by cyclin C and Pten. Journal of Cell Science. 132(16). 10 indexed citations
3.
Zu, Xuyu, Ruilan Yan, Jishen Pan, et al.. (2016). Aldo-keto reductase 1B10 protects human colon cells from DNA damage induced by electrophilic carbonyl compounds. Molecular Carcinogenesis. 56(1). 118–129. 29 indexed citations
4.
Wang, Kun, Ruilan Yan, Katrina F. Cooper, & Randy Strich. (2015). Cyclin C mediates stress-induced mitochondrial fission and apoptosis. Molecular Biology of the Cell. 26(6). 1030–1043. 46 indexed citations
5.
Shen, Yi, Jun Ma, Ruilan Yan, et al.. (2014). Impaired Self-Renewal and Increased Colitis and Dysplastic Lesions in Colonic Mucosa of AKR1B8-Deficient Mice. Clinical Cancer Research. 21(6). 1466–1476. 49 indexed citations
6.
Cao, Deliang, Amy Ziemba, James L. McCabe, et al.. (2011). Differential Expression of Uridine Phosphorylase in Tumors Contributes to an Improved Fluoropyrimidine Therapeutic Activity. Molecular Cancer Therapeutics. 10(12). 2330–2339. 14 indexed citations
7.
Liu, Ziwen, Ruilan Yan, Yi Shen, et al.. (2011). Epidermal growth factor induces tumour marker AKR1B10 expression through activator protein-1 signalling in hepatocellular carcinoma cells. Biochemical Journal. 442(2). 273–282. 52 indexed citations
8.
Wang, Chun, Ruilan Yan, Dixian Luo, et al.. (2009). Aldo-keto Reductase Family 1 Member B10 Promotes Cell Survival by Regulating Lipid Synthesis and Eliminating Carbonyls. Journal of Biological Chemistry. 284(39). 26742–26748. 121 indexed citations
9.
Zhong, Linlin, Ziwen Liu, Ruilan Yan, et al.. (2009). Aldo–keto reductase family 1 B10 protein detoxifies dietary and lipid-derived alpha, beta-unsaturated carbonyls at physiological levels. Biochemical and Biophysical Research Communications. 387(2). 245–250. 70 indexed citations
10.
Krämer, Andrea, Ruilan Yan, Franz Rödel, et al.. (2008). Targeting cyclin B1 inhibits proliferation and sensitizes breast cancer cells to taxol. BMC Cancer. 8(1). 391–391. 109 indexed citations
11.
Zu, Xuyu, Ruilan Yan, Jun Ma, Duan‐Fang Liao, & Deliang Cao. (2008). AKR1B10: A potential target for cancer therapy. 2(1). 31–33. 6 indexed citations
12.
Ma, Jun, Ruilan Yan, Xuyu Zu, et al.. (2007). Aldo-keto Reductase Family 1 B10 Affects Fatty Acid Synthesis by Regulating the Stability of Acetyl-CoA Carboxylase-α in Breast Cancer Cells. Journal of Biological Chemistry. 283(6). 3418–3423. 137 indexed citations
13.
Yan, Ruilan, Xuyu Zu, Jun Ma, et al.. (2007). Aldo–keto reductase family 1 B10 gene silencing results in growth inhibition of colorectal cancer cells: Implication for cancer intervention. International Journal of Cancer. 121(10). 2301–2306. 120 indexed citations
14.
Yan, Ruilan. (2006). Uridine phosphorylase in breast cancer: a new prognostic factor?. Frontiers in bioscience. 11(1). 2759–2759. 9 indexed citations
15.
16.
Yuan, Juping, Andrea Krämer, Yves Matthess, et al.. (2005). Stable gene silencing of cyclin B1 in tumor cells increases susceptibility to taxol and leads to growth arrest in vivo. Oncogene. 25(12). 1753–1762. 110 indexed citations
17.
Yuan, Juping, Ruilan Yan, Andrea Krämer, et al.. (2004). Cyclin B1 depletion inhibits proliferation and induces apoptosis in human tumor cells. Oncogene. 23(34). 5843–5852. 186 indexed citations
18.
Yan, Ruilan, et al.. (2002). [Experimental study of anti-VEGF hairpin ribozyme gene inhibiting expression of VEGF and proliferation of ovarian cancer cells].. PubMed. 21(1). 39–44. 4 indexed citations
19.
Yan, Xin, Feng Zhao, Wei Gong, et al.. (1994). A new functional classification of stomach cancer and its pathobiological and clinical significance.. PubMed. 9(2). 119–24. 2 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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