Shung-Haur Yang

4.4k total citations
127 papers, 3.3k citations indexed

About

Shung-Haur Yang is a scholar working on Oncology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Shung-Haur Yang has authored 127 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Oncology, 48 papers in Pathology and Forensic Medicine and 41 papers in Surgery. Recurrent topics in Shung-Haur Yang's work include Colorectal Cancer Treatments and Studies (59 papers), Genetic factors in colorectal cancer (48 papers) and Colorectal Cancer Surgical Treatments (31 papers). Shung-Haur Yang is often cited by papers focused on Colorectal Cancer Treatments and Studies (59 papers), Genetic factors in colorectal cancer (48 papers) and Colorectal Cancer Surgical Treatments (31 papers). Shung-Haur Yang collaborates with scholars based in Taiwan, United States and Singapore. Shung-Haur Yang's co-authors include Jen-Kou Lin, Shih‐Ching Chang, Wei-Shone Chen, Huann-Sheng Wang, Jeng‐Kai Jiang, Tzu-Chen Lin, Yuan‐Tzu Lan, Chun‐Chi Lin, Pei-Ching Lin and Anna Fen–Yau Li and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shung-Haur Yang

127 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shung-Haur Yang Taiwan 33 2.2k 918 873 755 707 127 3.3k
Wei-Shone Chen Taiwan 33 1.7k 0.8× 1.1k 1.2× 717 0.8× 602 0.8× 708 1.0× 106 3.1k
Jen-Kou Lin Taiwan 37 2.8k 1.3× 735 0.8× 1.1k 1.3× 835 1.1× 960 1.4× 102 3.8k
Jeng‐Kai Jiang Taiwan 31 1.6k 0.7× 682 0.7× 615 0.7× 540 0.7× 545 0.8× 124 2.6k
Yoshito Akagi Japan 32 1.8k 0.8× 786 0.9× 966 1.1× 457 0.6× 741 1.0× 272 3.3k
Romain Cohen France 24 1.7k 0.8× 564 0.6× 546 0.6× 855 1.1× 668 0.9× 117 2.6k
Hendrik Bläker Germany 37 1.8k 0.8× 878 1.0× 840 1.0× 1.2k 1.7× 634 0.9× 136 3.6k
Jong Gwang Kim South Korea 33 1.5k 0.7× 1.1k 1.2× 599 0.7× 592 0.8× 769 1.1× 203 3.4k
Tomoya Yokota Japan 31 1.4k 0.7× 799 0.9× 1.1k 1.2× 419 0.6× 1.4k 1.9× 186 3.3k
Dongfeng Tan United States 37 1.6k 0.7× 1.9k 2.0× 772 0.9× 543 0.7× 901 1.3× 124 4.0k
Jin Gu China 30 1.5k 0.7× 1.1k 1.2× 652 0.7× 281 0.4× 552 0.8× 154 3.0k

Countries citing papers authored by Shung-Haur Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shung-Haur Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shung-Haur Yang. 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 Shung-Haur Yang. The network helps show where Shung-Haur Yang may publish in the future.

Co-authorship network of co-authors of Shung-Haur Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shung-Haur Yang. A scholar is included among the top collaborators of Shung-Haur Yang 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 Shung-Haur Yang. Shung-Haur Yang 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.
Hsu, Nai‐Wei, et al.. (2024). Predicting sarcopenia in community-dwelling older adults through comprehensive physical fitness tests. BMC Geriatrics. 24(1). 932–932. 1 indexed citations
2.
Lo, Chung‐Ming, Jen‐Kou Lin, Tzu‐Chen Lin, et al.. (2023). Modeling the survival of colorectal cancer patients based on colonoscopic features in a feature ensemble vision transformer. Computerized Medical Imaging and Graphics. 107. 102242–102242. 22 indexed citations
3.
Lin, Hung‐Hsin, Sheng‐Chieh Huang, Chun‐Chi Lin, et al.. (2022). Clinical outcome of local treatment and radical resection for pT1 rectal cancer. International Journal of Colorectal Disease. 37(8). 1845–1851. 4 indexed citations
4.
Chen, Hung-Ming, Chun‐Chi Lin, Wei‐Shone Chen, et al.. (2021). Insulin-Like Growth Factor 2 mRNA-Binding Protein 1 (IGF2BP1) Is a Prognostic Biomarker and Associated with Chemotherapy Responsiveness in Colorectal Cancer. International Journal of Molecular Sciences. 22(13). 6940–6940. 30 indexed citations
5.
Huang, Chun‐Feng, et al.. (2021). A Rehabilitation-Based Multidisciplinary Care Model Reduces Hip Fracture Mortality in Older Adults. Journal of Multidisciplinary Healthcare. Volume 14. 2741–2747. 6 indexed citations
6.
Wu, Hsiang-Ling, et al.. (2021). Epidural analgesia does not impact recurrence or mortality in patients after rectal cancer resection. Scientific Reports. 11(1). 913–913. 6 indexed citations
7.
Liao, Tsai‐Tsen, Chun‐Chi Lin, Jeng‐Kae Jiang, et al.. (2020). Harnessing stemness and PD-L1 expression by AT-rich interaction domain-containing protein 3B in colorectal cancer. Theranostics. 10(14). 6095–6112. 30 indexed citations
8.
Huang, Chi‐Cheng, et al.. (2019). Gut butyrate-producing organisms correlate to Placenta Specific 8 protein: Importance to colorectal cancer progression. Journal of Advanced Research. 22. 7–20. 25 indexed citations
9.
10.
Yang, Chih-Yung, et al.. (2015). Circulating CD133+/ESA+ cells in colorectal cancer patients. Journal of Surgical Research. 199(2). 362–370. 15 indexed citations
11.
Lee, Yu‐Ting, Chia‐Jen Liu, Yu‐Wen Hu, et al.. (2015). Incidence of Second Primary Malignancies Following Colorectal Cancer. Medicine. 94(26). e1079–e1079. 27 indexed citations
12.
Yang, Chih-Yung, Ren-Shyan Liu, Shung-Haur Yang, et al.. (2014). Interleukin-17A Modulates Circulating Tumor Cells in Tumor Draining Vein of Colorectal Cancers and Affects Metastases. Clinical Cancer Research. 20(11). 2885–2897. 44 indexed citations
13.
Wang, Hsei-Wei, Shung-Haur Yang, Jen-Kou Lin, et al.. (2014). Temsirolimus enhances the efficacy of cetuximab in colon cancer through a CIP2A-dependent mechanism. Journal of Cancer Research and Clinical Oncology. 140(4). 561–571. 21 indexed citations
14.
Lin, Hung‐Hsin, Chun‐Chi Lin, Yuan‐Tzu Lan, et al.. (2012). Clinicopathological Differences between Mucinous Adenocarcinoma and Signet-Ring Cell Carcinoma in the Colorectum. 23(4). 151–159. 1 indexed citations
15.
Chang, Shih‐Ching, Yuan‐Tzu Lan, Huann‐Sheng Wang, et al.. (2011). The Clinicopathologic Features and Outcome of Patients with Gastrointestinal Stromal Tumors in Colorectal Region. 22(4). 115–121. 1 indexed citations
16.
Chang, Shih‐Ching, Tzu‐Chen Lin, Shung-Haur Yang, et al.. (2010). The Risk Factors of Anastomotic Leakage and Influence of Fecal Diversion after Resection of Rectal Cancer. 21(1). 9–16. 2 indexed citations
17.
Chou, Chia‐Lin, Tzu‐Chen Lin, Wei‐Shone Chen, et al.. (2010). Clinical Analysis and Surgical Results of Primary Colorectal Sarcoma. 21(4). 161–168. 4 indexed citations
18.
Lin, Jen-Kou, Shih‐Ching Chang, Huann-Sheng Wang, et al.. (2006). Distinctive clinicopathological features ofKi-ras mutated colorectal cancers. Journal of Surgical Oncology. 94(3). 234–241. 15 indexed citations
19.
Jiang, Jeng‐Kai, Shung-Haur Yang, & Jen-Kou Lin. (2005). Transabdominal Anastomosis After Low Anterior Resection: A Prospective, Randomized, Controlled Trial Comparing Long-Term Results Between Side-to-End Anastomosis and Colonic J-Pouch. Diseases of the Colon & Rectum. 48(11). 2100–2110. 48 indexed citations
20.
Chen, Chien‐Chih, et al.. (2004). Sigmoid Volvulus- A Series of 48 Cases. 15(1). 1–8. 1 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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