Shu‐Hong Lin

1.4k total citations
46 papers, 738 citations indexed

About

Shu‐Hong Lin is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Shu‐Hong Lin has authored 46 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Genetics and 8 papers in Oncology. Recurrent topics in Shu‐Hong Lin's work include Research in Cotton Cultivation (5 papers), Epigenetics and DNA Methylation (5 papers) and Genomic variations and chromosomal abnormalities (4 papers). Shu‐Hong Lin is often cited by papers focused on Research in Cotton Cultivation (5 papers), Epigenetics and DNA Methylation (5 papers) and Genomic variations and chromosomal abnormalities (4 papers). Shu‐Hong Lin collaborates with scholars based in United States, China and India. Shu‐Hong Lin's co-authors include Mitchell J. Machiela, Derek W. Brown, Xifeng Wu, David W. Chang, Young C. Lin, Pingping Xu, Zhi‐Nan Chen, Rea‐Min Chu, Chia‐Chi Wang and Hsin‐Ying Wu and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer.

In The Last Decade

Shu‐Hong Lin

44 papers receiving 734 citations

Peers

Shu‐Hong Lin

GENET

ONCOL

Bhoom Suktitipat Thailand

Lin Sun China

Qian‐Fei Wang China

Wenjun Lin China

Barbara Ostanek Slovenia

Min Lin China

Meng Ye China

Longyan Yang China

Yu Cong China

Rong Xie China

Bhoom Suktitipat Thailand

Shu‐Hong Lin

273 ×0.9

85 ×0.5

160 ×1.2

GENET

78 ×0.6

ONCOL

35 ×0.4

Citations per year, relative to Shu‐Hong Lin Shu‐Hong Lin (= 1×) peers Bhoom Suktitipat

Countries citing papers authored by Shu‐Hong Lin

Since Specialization

Citations

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

Fields of papers citing papers by Shu‐Hong Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Hong Lin. 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 Shu‐Hong Lin. The network helps show where Shu‐Hong Lin may publish in the future.

Co-authorship network of co-authors of Shu‐Hong Lin

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

All Works

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20 of 20 papers shown

Li, Yongping, et al.. (2025). Exploring the association between pro-inflammatory diets and chronic liver diseases: evidence from the UK Biobank. Frontiers in Nutrition. 12. 1537855–1537855. 1 indexed citations

Huang, Haitao, Dong Han, Zhongzi Xu, et al.. (2025). Self-wrinkled chitosan and polyacrylic acid-based hydrogel electrodes for energy storage and sensing applications. Polymer. 341. 129237–129237.

Wen, Bing, et al.. (2025). File Compliance Detection Using a Word2Vec-Based Semantic Similarity Framework. Informatica. 49(18). 2 indexed citations

Hu, Yingying, Hsin‐Che Huang, Hui–Hsuan Kuo, et al.. (2024). Molecular targets and strategies in the development of nucleic acid cancer vaccines: from shared to personalized antigens. Journal of Biomedical Science. 31(1). 94–94. 5 indexed citations

Lin, Shu‐Hong, et al.. (2024). Construction and evaluation of endometriosis diagnostic prediction model and immune infiltration based on efferocytosis-related genes. Frontiers in Molecular Biosciences. 10. 1298457–1298457. 3 indexed citations

Sun, Bowen, et al.. (2024). Luoshi Neiyi Prescription inhibits estradiol synthesis and inflammation in endometriosis through the HIF1A/EZH2/SF-1 pathway. Journal of Ethnopharmacology. 335. 118659–118659. 2 indexed citations

Hubbard, Aubrey K., Derek W. Brown, Weiyin Zhou, et al.. (2023). Serum biomarkers are altered in UK Biobank participants with mosaic chromosomal alterations. Human Molecular Genetics. 32(22). 3146–3152. 5 indexed citations

Urak, Ryan, Dennis Awuah, Vibhuti Vyas, et al.. (2023). Dexamethasone potentiates chimeric antigen receptor T cell persistence and function by enhancing IL-7Rα expression. Molecular Therapy. 32(2). 527–539. 10 indexed citations

Shen, Minxue, Danrong Jing, Guanxiong Zhang, et al.. (2022). Associations of combined lifestyle and genetic risks with incident psoriasis: A prospective cohort study among UK Biobank participants of European ancestry. Journal of the American Academy of Dermatology. 87(2). 343–350. 32 indexed citations

10.

Lin, Shu‐Hong, Rohit Thakur, & Mitchell J. Machiela. (2021). LDexpress: an online tool for integrating population-specific linkage disequilibrium patterns with tissue-specific expression data. BMC Bioinformatics. 22(1). 608–608. 11 indexed citations

11.

Zhou, Weiyin, Shu‐Hong Lin, Sairah Khan, et al.. (2021). Detectable chromosome X mosaicism in males is rarely tolerated in peripheral leukocytes. Scientific Reports. 11(1). 1193–1193. 13 indexed citations

12.

Lin, Shu‐Hong, Derek W. Brown, & Mitchell J. Machiela. (2020). LDtrait: An Online Tool for Identifying Published Phenotype Associations in Linkage Disequilibrium. Cancer Research. 80(16). 3443–3446. 117 indexed citations

13.

Brown, Derek W., Shu‐Hong Lin, Po‐Ru Loh, et al.. (2020). Genetically predicted telomere length is associated with clonal somatic copy number alterations in peripheral leukocytes. PLoS Genetics. 16(10). e1009078–e1009078. 10 indexed citations

14.

Wang, Qinchuan, Yuanqing Ye, Hao Yu, et al.. (2020). Immune checkpoint-related serum proteins and genetic variants predict outcomes of localized prostate cancer, a cohort study. Cancer Immunology Immunotherapy. 70(3). 701–712. 33 indexed citations

15.

Zhang, Jinhua, Yuanqing Ye, David W. Chang, et al.. (2018). Global and Targeted miRNA Expression Profiling in Clear Cell Renal Cell Carcinoma Tissues Potentially Links miR-155-5p and miR-210-3p to both Tumorigenesis and Recurrence. American Journal Of Pathology. 188(11). 2487–2496. 36 indexed citations

16.

Lin, Shu‐Hong, Gottumukkala S. Raju, Chad D. Huff, et al.. (2017). The somatic mutation landscape of premalignant colorectal adenoma. Gut. 67(7). 1299–1305. 44 indexed citations

17.

Lin, Shu‐Hong, et al.. (2013). Cross-Platform Prediction of Gene Expression Signatures. PLoS ONE. 8(11). e79228–e79228. 9 indexed citations

18.

Li, Hong, Longzhu Piao, Pingping Xu, et al.. (2011). Liposomes Containing (-)-Gossypol-Enriched Cottonseed Oil Suppress Bcl-2 and Bcl-xL Expression in Breast Cancer Cells. Pharmaceutical Research. 28(12). 3256–3264. 17 indexed citations

19.

Ye, Weiping, Pingping Xu, Saiyi Zhong, et al.. (2010). Serum harvested from heifers one month post-zeranol implantation stimulates MCF-7 breast cancer cell growth. Experimental and Therapeutic Medicine. 1(6). 963–968. 6 indexed citations

20.

Wu, Hsin‐Ying, et al.. (2007). Cannabidiol-induced apoptosis in primary lymphocytes is associated with oxidative stress-dependent activation of caspase-8. Toxicology and Applied Pharmacology. 226(3). 260–270. 69 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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