Warren Shih

778 total citations
9 papers, 617 citations indexed

About

Warren Shih is a scholar working on Molecular Biology, Oncology and Hepatology. According to data from OpenAlex, Warren Shih has authored 9 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Hepatology. Recurrent topics in Warren Shih's work include Liver physiology and pathology (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Warren Shih is often cited by papers focused on Liver physiology and pathology (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Warren Shih collaborates with scholars based in Canada, United States and South Africa. Warren Shih's co-authors include Ming‐Sound Tsao, Chang‐Qi Zhu, Ling Chen, Runjan Chetty, Igor Jurišica, Roya Navab, Isolde Seiden‐Long, Ming Li, Nikolina Radulovich and James R. Woodgett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Carcinogenesis.

In The Last Decade

Warren Shih

9 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Warren Shih Canada	9	351	269	152	132	67	9	617
Marie-Pierre Podgorniak France	14	364 1.0×	337 1.3×	102 0.7×	130 1.0×	52 0.8×	20	648
Takuya Shirakihara Japan	11	792 2.3×	457 1.7×	100 0.7×	267 2.0×	40 0.6×	13	1000
Iwao Seshimo Japan	7	224 0.6×	411 1.5×	120 0.8×	125 0.9×	21 0.3×	13	631
Paulisally Hau Yi Lo United States	18	448 1.3×	178 0.7×	92 0.6×	242 1.8×	39 0.6×	20	695
Masao Furuhashi Japan	7	479 1.4×	212 0.8×	60 0.4×	95 0.7×	31 0.5×	7	615
Wolfgang Boeck Germany	7	417 1.2×	409 1.5×	46 0.3×	210 1.6×	46 0.7×	10	704
Shailaja Uttamsingh United States	11	418 1.2×	291 1.1×	87 0.6×	97 0.7×	18 0.3×	18	622
Biancastella Cereser United Kingdom	10	266 0.8×	275 1.0×	63 0.4×	216 1.6×	34 0.5×	16	583
Austin Dulak United States	11	440 1.3×	162 0.6×	103 0.7×	256 1.9×	20 0.3×	16	675
PG Natali United States	5	300 0.9×	178 0.7×	76 0.5×	86 0.7×	119 1.8×	8	530

Countries citing papers authored by Warren Shih

Since Specialization

Citations

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

Fields of papers citing papers by Warren Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Warren Shih

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

All Works

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9 of 9 papers shown

Allo, Ghassan, Bizhan Bandarchi, Naoki Yanagawa, et al.. (2013). Epidermal growth factor receptor mutation‐specific immunohistochemical antibodies in lung adenocarcinoma. Histopathology. 64(6). 826–839. 18 indexed citations

Navab, Roya, Jiang Liu, Isolde Seiden‐Long, et al.. (2009). Co-overexpression of Met and Hepatocyte Growth Factor Promotes Systemic Metastasis in NCI-H460 Non-Small Cell Lung Carcinoma Cells. Neoplasia. 11(12). 1292–IN6. 62 indexed citations

Seiden‐Long, Isolde, Roya Navab, Warren Shih, et al.. (2008). Gab1 but not Grb2 mediates tumor progression in Met overexpressing colorectal cancer cells. Carcinogenesis. 29(3). 647–655. 51 indexed citations

Salahshor, Sima, Richard Naidoo, Stefano Serra, et al.. (2007). Frequent accumulation of nuclear E-cadherin and alterations in the Wnt signaling pathway in esophageal squamous cell carcinomas. Modern Pathology. 21(3). 271–281. 52 indexed citations

Zhu, Chang‐Qi, Svetlana N. Popova, Ewan Brown, et al.. (2007). Integrin α11 regulates IGF2 expression in fibroblasts to enhance tumorigenicity of human non-small-cell lung cancer cells. Proceedings of the National Academy of Sciences. 104(28). 11754–11759. 126 indexed citations

Chetty, Runjan, Stefano Serra, Sima Salahshor, et al.. (2006). Expression of Wnt-signaling pathway proteins in intraductal papillary mucinous neoplasms of the pancreas: a tissue microarray analysis. Human Pathology. 37(2). 212–217. 39 indexed citations

Zhu, Chang‐Qi, Warren Shih, Ling Chen, & Ming‐Sound Tsao. (2006). Immunohistochemical markers of prognosis in non-small cell lung cancer: a review and proposal for a multiphase approach to marker evaluation. Journal of Clinical Pathology. 59(8). 790–800. 150 indexed citations

Seiden‐Long, Isolde, Kevin R. Brown, Warren Shih, et al.. (2005). Transcriptional targets of hepatocyte growth factor signaling and Ki-ras oncogene activation in colorectal cancer. Oncogene. 25(1). 91–102. 64 indexed citations

Shih, Warren, Runjan Chetty, & Ming‐Sound Tsao. (2005). Expression profiling by microarrays in colorectal cancer (Review). Oncology Reports. 13(3). 517–24. 55 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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