Suyan Tian

2.4k total citations · 1 hit paper
67 papers, 1.8k citations indexed

About

Suyan Tian is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Suyan Tian has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 16 papers in Cancer Research and 10 papers in Epidemiology. Recurrent topics in Suyan Tian's work include Gene expression and cancer classification (19 papers), Bioinformatics and Genomic Networks (17 papers) and Cancer-related molecular mechanisms research (16 papers). Suyan Tian is often cited by papers focused on Gene expression and cancer classification (19 papers), Bioinformatics and Genomic Networks (17 papers) and Cancer-related molecular mechanisms research (16 papers). Suyan Tian collaborates with scholars based in China, United States and Italy. Suyan Tian's co-authors include Mayte Suárez‐Fariñas, James G. Krueger, Emma Guttman‐Yassky, Andrea Chiricozzi, Kristine Nograles, Sergio Chimenti, Irma Cardinale, Carrie Brodmerkel, Chi Wang and Chenglin Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Suyan Tian

63 papers receiving 1.7k citations

Hit Papers

Integrative Responses to IL-17 and TNF-α in Human Keratin... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Suyan Tian
Isabella Tosi United Kingdom
Steven J. Schrodi United States
Asifa Haider United States
Koustubh Ranade United States
Katherine Li United States
Federica Villanova United Kingdom
Isabella Tosi United Kingdom
Suyan Tian
Citations per year, relative to Suyan Tian Suyan Tian (= 1×) peers Isabella Tosi

Countries citing papers authored by Suyan Tian

Since Specialization
Citations

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

Fields of papers citing papers by Suyan Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyan Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Suyan Tian. A scholar is included among the top collaborators of Suyan Tian 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 Suyan Tian. Suyan Tian 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.
Yang, Yang, Xiaojie Yuan, Jiping Wang, et al.. (2024). Clinical Evidence of the Relationship Between Alanine Aminotransferase and Diabetic Kidney Disease. Diabetes Metabolic Syndrome and Obesity. Volume 17. 261–269. 1 indexed citations
2.
Pang, Xiaoli, Huizhong Yang, Chi Wang, & Suyan Tian. (2024). Exploring the causal relationship between Takayasu arteritis and inflammatory bowel disease using Mendelian randomization. Immunologic Research. 72(4). 707–713.
3.
Zhang, Ao & Suyan Tian. (2023). Integrative Analyses of Mendelian Randomization and Transcriptomic Data Reveal No Association between Leptin and Chronic Obstructive Pulmonary Disease. COPD Journal of Chronic Obstructive Pulmonary Disease. 20(1). 321–326.
4.
Yuan, Xiaojie, Jiping Wang, Shuo Yang, et al.. (2022). Effect of Intermittent Fasting Diet on Glucose and Lipid Metabolism and Insulin Resistance in Patients with Impaired Glucose and Lipid Metabolism: A Systematic Review and Meta-Analysis. International Journal of Endocrinology. 2022. 1–9. 60 indexed citations
5.
Tian, Suyan, Jinmei Wang, Qi Zhou, et al.. (2020). A Prognostic Model to Predict Recovery of COVID-19 Patients Based on Longitudinal Laboratory Findings. Virologica Sinica. 35(6). 811–819. 5 indexed citations
7.
He, Yang, Suyan Tian, & Pu Tian. (2019). Fundamental asymmetry of insertions and deletions in genomes size evolution. Journal of Theoretical Biology. 482. 109983–109983. 2 indexed citations
8.
Wang, Tianjiao, Lei Zhang, Pu Tian, & Suyan Tian. (2017). Identification of differentially-expressed genes between early-stage adenocarcinoma and squamous cell carcinoma lung cancer using meta-analysis methods. Oncology Letters. 13(5). 3314–3322. 10 indexed citations
9.
Tian, Suyan, Chi Wang, Howard H. Chang, & Jianguo Sun. (2017). Identification of prognostic genes and gene sets for early-stage non-small cell lung cancer using bi-level selection methods. Scientific Reports. 7(1). 46164–46164. 8 indexed citations
10.
Zhang, Lei, Linlin Wang, Pu Tian, & Suyan Tian. (2016). Identification of Genes Discriminating Multiple Sclerosis Patients from Controls by Adapting a Pathway Analysis Method. PLoS ONE. 11(11). e0165543–e0165543. 4 indexed citations
11.
Liu, Yujia, Xianchao Xiao, Chenglin Sun, et al.. (2016). Ideal glycated hemoglobin cut‐off points for screening diabetes and prediabetes in a Chinese population. Journal of Diabetes Investigation. 7(5). 695–702. 21 indexed citations
12.
Tian, Suyan, Howard H. Chang, & Chi Wang. (2016). Weighted-SAMGSR: combining significance analysis of microarray-gene set reduction algorithm with pathway topology-based weights to select relevant genes. Biology Direct. 11(1). 50–50. 13 indexed citations
13.
Ewald, David, Dana Malajian, James G. Krueger, et al.. (2015). Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways. BMC Medical Genomics. 8(1). 132 indexed citations
15.
Xiao, Xianchao, Yujia Liu, Chenglin Sun, et al.. (2014). Evaluation of different obesity indices as predictors of type 2 diabetes mellitus in a Chinese population评价不同肥胖指数在中国人群中预测2型糖尿病的价值. Journal of Diabetes. 7(3). 386–392. 15 indexed citations
16.
Tian, Suyan, Howard H. Chang, Chi Wang, et al.. (2014). Multi-TGDR, a multi-class regularization method, identifies the metabolic profiles of hepatocellular carcinoma and cirrhosis infected with hepatitis B or hepatitis C virus. BMC Bioinformatics. 15(1). 97–97. 9 indexed citations
17.
Tian, Suyan & Mayte Suárez‐Fariñas. (2013). Multi-TGDR: A Regularization Method for Multi-Class Classification in Microarray Experiments. PLoS ONE. 8(11). e78302–e78302. 12 indexed citations
18.
Tian, Suyan, James G. Krueger, Katherine Li, et al.. (2012). Meta-Analysis Derived (MAD) Transcriptome of Psoriasis Defines the “Core” Pathogenesis of Disease. PLoS ONE. 7(9). e44274–e44274. 149 indexed citations
19.
Mauer, Andreas C., Nickolay A. Khazanov, Natasha Levenkova, et al.. (2010). Impact of sex, age, race, ethnicity and aspirin use on bleeding symptoms in healthy adults. Journal of Thrombosis and Haemostasis. 9(1). 100–108. 68 indexed citations
20.
Frank, Mayu O., Julia Kaufman, Suyan Tian, et al.. (2010). Harnessing Naturally Occurring Tumor Immunity: A Clinical Vaccine Trial in Prostate Cancer. PLoS ONE. 5(9). e12367–e12367. 17 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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