Shih‐Han Lee

1.2k total citations
12 papers, 709 citations indexed

About

Shih‐Han Lee is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Shih‐Han Lee has authored 12 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Shih‐Han Lee's work include RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related gene regulation (3 papers). Shih‐Han Lee is often cited by papers focused on RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related gene regulation (3 papers). Shih‐Han Lee collaborates with scholars based in United States, United Kingdom and Taiwan. Shih‐Han Lee's co-authors include Christine Mayr, Christina S. Leslie, Irtisha Singh, Shyh‐Jer Chen, Omar Abdel‐Wahab, Sarah Tisdale, Andrew E. Teschendorff, Martin Widschwendter, Adam S. Sperling and Yu‐Tzu Tai and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Shih‐Han Lee

12 papers receiving 703 citations

Peers

Shih‐Han Lee
Kaori Nagao Japan
Japneet Kaur United States
M. Teresa Villanueva Spain
Yun Ma China
Thomas M. Wagner Germany
Xiao Wu China
Yang Xie China
Katharina Auer Austria
Kaori Nagao Japan
Shih‐Han Lee
Citations per year, relative to Shih‐Han Lee Shih‐Han Lee (= 1×) peers Kaori Nagao

Countries citing papers authored by Shih‐Han Lee

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Han Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Han Lee. 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 Shih‐Han Lee. The network helps show where Shih‐Han Lee may publish in the future.

Co-authorship network of co-authors of Shih‐Han Lee

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

All Works

12 of 12 papers shown
1.
Shen, Pei-Hung, et al.. (2022). Association between 3D Printing-Assisted Pelvic or Acetabular Fracture Surgery and the Length of Hospital Stay in Nongeriatric Male Adults. Journal of Personalized Medicine. 12(4). 573–573. 5 indexed citations
2.
Wu, Jialin, et al.. (2022). Does 3D Printing-Assisted Acetabular or Pelvic Fracture Surgery Shorten Hospitalization Durations among Older Adults?. Journal of Personalized Medicine. 12(2). 189–189. 4 indexed citations
3.
Chen, Kuan‐Hung, et al.. (2021). A 3D-ACEK/SERS system for highly efficient and selectable electrokinetic bacteria concentration/detection/ antibiotic-susceptibility-test on whole blood. Biosensors and Bioelectronics. 197. 113740–113740. 27 indexed citations
4.
Lee, Shih‐Han & Christine Mayr. (2019). Gain of Additional BIRC3 Protein Functions through 3ʹ-UTR-Mediated Protein Complex Formation. Molecular Cell. 74(4). 701–712.e9. 37 indexed citations
5.
Lee, Shih‐Han, Irtisha Singh, Sarah Tisdale, et al.. (2018). Widespread intronic polyadenylation inactivates tumour suppressor genes in leukaemia. Nature. 561(7721). 127–131. 162 indexed citations
6.
Singh, Irtisha, Shih‐Han Lee, Adam S. Sperling, et al.. (2018). Widespread intronic polyadenylation diversifies immune cell transcriptomes. Nature Communications. 9(1). 1716–1716. 114 indexed citations
7.
Chen, Shyh‐Jer, et al.. (2018). Transformational leadership and voice behaviors. Personnel Review. 47(3). 694–708. 86 indexed citations
8.
Hänzelmann, Sonja, Chao‐Chung Kuo, Julia Franzen, et al.. (2016). The lncRNA HOTAIR impacts on mesenchymal stem cellsviatriple helix formation. Nucleic Acids Research. 44(22). 10631–10643. 129 indexed citations
9.
Zhuang, Joanna, Allison Jones, Shih‐Han Lee, et al.. (2012). The Dynamics and Prognostic Potential of DNA Methylation Changes at Stem Cell Gene Loci in Women's Cancer. PLoS Genetics. 8(2). e1002517–e1002517. 92 indexed citations
10.
Zhuang, Joanna, Allison Jones, Shih‐Han Lee, et al.. (2012). Correction: The Dynamics and Prognostic Potential of DNA Methylation Changes at Stem Cell Gene Loci in Women's Cancer. PLoS Genetics. 8(3). 12 indexed citations
11.
Lee, Shih‐Han, et al.. (2010). Dynamic methylation and expression of Oct4 in early neural stem cells. Journal of Anatomy. 217(3). 203–213. 25 indexed citations
12.
Lee, Shih‐Han, Jennie N. Jeyapalan, Roger D. Palmer, et al.. (2010). Variable methylation of the imprinted gene, SNRPN, supports a relationship between intracranial germ cell tumours and neural stem cells. Journal of Neuro-Oncology. 101(3). 419–428. 16 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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