Shian-ling Ding

578 total citations
13 papers, 364 citations indexed

About

Shian-ling Ding is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Shian-ling Ding has authored 13 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Oncology. Recurrent topics in Shian-ling Ding's work include Estrogen and related hormone effects (4 papers), DNA Repair Mechanisms (4 papers) and Epigenetics and DNA Methylation (3 papers). Shian-ling Ding is often cited by papers focused on Estrogen and related hormone effects (4 papers), DNA Repair Mechanisms (4 papers) and Epigenetics and DNA Methylation (3 papers). Shian-ling Ding collaborates with scholars based in Taiwan, United Kingdom and Italy. Shian-ling Ding's co-authors include Chen‐Yang Shen, Jyh‐Cherng Yu, Shou‐Tung Chen, Pei‐Ei Wu, Giu‐Cheng Hsu, Chun‐Wen Cheng, Lai‐Fa Sheu, Chia‐Ni Hsiung, Huan-Ming Hsu and Hsiao-Wei Wang and has published in prestigious journals such as Clinical Cancer Research, Carcinogenesis and Annals of Surgical Oncology.

In The Last Decade

Shian-ling Ding

12 papers receiving 355 citations

Peers

Shian-ling Ding
Joseph Washburn United States
Liyu Wu United States
Bindu Ramachandran United States
Sheila L. Morris United States
Duk‐Hwa Kwon South Korea
G. Hamard France
Merlin Airik United States
Joseph Washburn United States
Shian-ling Ding
Citations per year, relative to Shian-ling Ding Shian-ling Ding (= 1×) peers Joseph Washburn

Countries citing papers authored by Shian-ling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shian-ling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shian-ling Ding. 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 Shian-ling Ding. The network helps show where Shian-ling Ding may publish in the future.

Co-authorship network of co-authors of Shian-ling Ding

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

All Works

13 of 13 papers shown
1.
Cheng, Chun‐Wen, Yu‐Fan Liu, Jyh‐Cherng Yu, et al.. (2012). Prognostic Significance of cyclin D1, β-catenin, and MTA1 in Patients with Invasive Ductal Carcinoma of the Breast. Annals of Surgical Oncology. 19(13). 4129–4139. 30 indexed citations
2.
Yu, Jyh‐Cherng, Chia‐Ni Hsiung, Huan-Ming Hsu, et al.. (2011). Genetic variation in the genome-wide predicted estrogen response element-related sequences is associated with breast cancer development. Breast Cancer Research. 13(1). R13–R13. 29 indexed citations
3.
Ding, Shian-ling, Jyh‐Cherng Yu, Shou‐Tung Chen, et al.. (2010). Diverse Associations between ESR1 Polymorphism and Breast Cancer Development and Progression. Clinical Cancer Research. 16(13). 3473–3484. 28 indexed citations
4.
Yu, Jyh‐Cherng, Shian-ling Ding, Chih‐Hao Chang, et al.. (2009). Genetic susceptibility to the development and progression of breast cancer associated with polymorphism of cell cycle and ubiquitin ligase genes. Carcinogenesis. 30(9). 1562–1570. 37 indexed citations
5.
Yu, Jyh‐Cherng, Hsiao-Wei Wang, Shou‐Tung Chen, et al.. (2009). Synergistic Effects of Polymorphisms in DNA Repair Genes and Endogenous Estrogen Exposure on Female Breast Cancer Risk. Annals of Surgical Oncology. 17(3). 760–771. 46 indexed citations
6.
Ding, Shian-ling, Jyh‐Cherng Yu, Shou‐Tung Chen, et al.. (2008). Genetic variants of BLM interact with RAD51 to increase breast cancer susceptibility. Carcinogenesis. 30(1). 43–49. 34 indexed citations
7.
Ding, Shian-ling & Chen‐Yang Shen. (2008). Model of human aging: Recent findings on Werner’s and Hutchinson-Gilford progeria syndromes. Clinical Interventions in Aging. Volume 3(3). 431–444. 41 indexed citations
8.
Ding, Shian-ling, Jyh‐Cherng Yu, Shou‐Tung Chen, Giu‐Cheng Hsu, & Chen‐Yang Shen. (2007). Genetic Variation in the Premature Aging Gene WRN: A Case-Control Study on Breast Cancer Susceptibility. Cancer Epidemiology Biomarkers & Prevention. 16(2). 263–269. 36 indexed citations
10.
Ding, Shian-ling, et al.. (2004). Expression of estrogen receptor-α and Ki67 in relation to pathological and molecular features in early-onset infiltrating ductal carcinoma. Journal of Biomedical Science. 11(6). 911–919. 20 indexed citations
11.
Chen, Ann, et al.. (1995). Induction of Proteinuria by Adriamycin or Bovine Serum Albumin in the Mouse. ˜The œNephron journals/Nephron journals. 69(3). 293–300. 33 indexed citations
12.
Ding, Shian-ling, et al.. (1994). Experimental IgA nephropathy. Enhanced deposition of glomerular IgA immune complex in proteinuric states.. PubMed. 70(5). 639–47. 18 indexed citations
13.
Chou, Wei‐Yuan, et al.. (1992). Glomerular localization of nephritogenic protein complexes on a nonimmunologic basis.. PubMed. 67(2). 175–85. 12 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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