Chih‐Min Tang

1.1k total citations
18 papers, 633 citations indexed

About

Chih‐Min Tang is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Chih‐Min Tang has authored 18 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Gastroenterology, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Molecular Biology. Recurrent topics in Chih‐Min Tang's work include Gastrointestinal Tumor Research and Treatment (10 papers), Gastrointestinal disorders and treatments (4 papers) and Sarcoma Diagnosis and Treatment (4 papers). Chih‐Min Tang is often cited by papers focused on Gastrointestinal Tumor Research and Treatment (10 papers), Gastrointestinal disorders and treatments (4 papers) and Sarcoma Diagnosis and Treatment (4 papers). Chih‐Min Tang collaborates with scholars based in United States, Italy and Netherlands. Chih‐Min Tang's co-authors include Paul A. Insel, Jason K. Sicklick, Ines N. Hahntow, Martin C. Michel, James D. Murphy, Paul T. Fanta, David M. Roth, Hyunho Yoon, Mayra Yebra and Brian P. Head and has published in prestigious journals such as Cancer, Annals of the New York Academy of Sciences and Kidney International.

In The Last Decade

Chih‐Min Tang

18 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih‐Min Tang United States 13 316 176 175 147 99 18 633
Nobuyuki Nishizawa Japan 20 437 1.4× 151 0.9× 31 0.2× 189 1.3× 26 0.3× 50 853
Weiming Yue China 17 394 1.2× 154 0.9× 26 0.1× 158 1.1× 18 0.2× 49 812
Zhichao Zheng China 17 529 1.7× 206 1.2× 56 0.3× 123 0.8× 17 0.2× 48 894
Michihiro Kudou Japan 15 239 0.8× 139 0.8× 17 0.1× 197 1.3× 23 0.2× 58 576
Maurizio Polano Italy 14 213 0.7× 202 1.1× 143 0.8× 77 0.5× 7 0.1× 31 599
Yunpeng Liu China 20 522 1.7× 454 2.6× 98 0.6× 167 1.1× 34 0.3× 78 1.3k
Yukio Tokumitsu Japan 13 233 0.7× 158 0.9× 14 0.1× 256 1.7× 33 0.3× 62 740
Tae Jung Jang South Korea 17 259 0.8× 107 0.6× 33 0.2× 217 1.5× 27 0.3× 57 748
Rainer Hamacher Germany 18 354 1.1× 175 1.0× 22 0.1× 290 2.0× 82 0.8× 64 1.1k
J. Tillner Germany 14 243 0.8× 272 1.5× 18 0.1× 178 1.2× 50 0.5× 29 880

Countries citing papers authored by Chih‐Min Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Min Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Min Tang. 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 Chih‐Min Tang. The network helps show where Chih‐Min Tang may publish in the future.

Co-authorship network of co-authors of Chih‐Min Tang

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

All Works

18 of 18 papers shown
1.
Banerjee, Sudeep, Hyunho Yoon, Chih‐Min Tang, et al.. (2021). KITlow Cells Mediate Imatinib Resistance in Gastrointestinal Stromal Tumor. Molecular Cancer Therapeutics. 20(10). 2035–2048. 10 indexed citations
3.
Banerjee, Sudeep, Hyunho Yoon, Mayra Yebra, et al.. (2020). Anti-KIT DNA Aptamer for Targeted Labeling of Gastrointestinal Stromal Tumor. Molecular Cancer Therapeutics. 19(5). 1173–1182. 11 indexed citations
4.
Banerjee, Sudeep, Abhishek Kumar, Nicole Lopez, et al.. (2020). Cost-effectiveness Analysis of Genetic Testing and Tailored First-Line Therapy for Patients With Metastatic Gastrointestinal Stromal Tumors. JAMA Network Open. 3(9). e2013565–e2013565. 16 indexed citations
5.
Burgoyne, Adam M., Martina De Siena, Chih‐Min Tang, et al.. (2017). Duodenal-Jejunal Flexure GI Stromal Tumor Frequently Heralds Somatic NF1 and Notch Pathway Mutations. JCO Precision Oncology. 2017(1). 1–12. 12 indexed citations
6.
Burgoyne, Adam M., et al.. (2017). The Call of “The Wild”-Type GIST: It's Time for Domestication. Journal of the National Comprehensive Cancer Network. 15(5). 551–554. 17 indexed citations
7.
Fero, Katherine E., Taylor M. Coe, Paul T. Fanta, et al.. (2017). Surgical Management of Adolescents and Young Adults With Gastrointestinal Stromal Tumors. JAMA Surgery. 152(5). 443–443. 23 indexed citations
8.
Coe, Taylor M., Katherine E. Fero, Paul T. Fanta, et al.. (2016). Population-Based Epidemiology and Mortality of Small Malignant Gastrointestinal Stromal Tumors in the USA. Journal of Gastrointestinal Surgery. 20(6). 1132–1140. 53 indexed citations
9.
Murphy, James D., L. Grace, Joel Baumgartner, et al.. (2015). Increased risk of additional cancers among patients with gastrointestinal stromal tumors: A population‐based study. Cancer. 121(17). 2960–2967. 54 indexed citations
10.
Sicklick, Jason K., Michele Babicky, Chih‐Min Tang, et al.. (2014). Generation of orthotopic patient-derived xenografts from gastrointestinal stromal tumor. Journal of Translational Medicine. 12(1). 41–41. 23 indexed citations
11.
Magistri, Paolo, et al.. (2013). The glypican 3 hepatocellular carcinoma marker regulates human hepatic stellate cells via Hedgehog signaling. Journal of Surgical Research. 187(2). 377–385. 25 indexed citations
12.
Peiró, Ana M., Chih‐Min Tang, Fiona Murray, et al.. (2011). Genetic variation in phosphodiesterase (PDE) 7B in chronic lymphocytic leukemia: overview of genetic variants of cyclic nucleotide PDEs in human disease. Journal of Human Genetics. 56(9). 676–681. 6 indexed citations
13.
Ziegler, Michael G., Milos Milic, Ping Sun, et al.. (2011). Endogenous epinephrine protects against obesity induced insulin resistance. Autonomic Neuroscience. 162(1-2). 32–34. 13 indexed citations
14.
Fung, Maple M., Brinda K. Rana, Chih‐Min Tang, et al.. (2009). Dopamine D1 receptor (DRD1) genetic polymorphism: pleiotropic effects on heritable renal traits. Kidney International. 76(10). 1070–1080. 13 indexed citations
15.
Insel, Paul A., Chih‐Min Tang, Ines N. Hahntow, & Martin C. Michel. (2006). Impact of GPCRs in clinical medicine: Monogenic diseases, genetic variants and drug targets. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1768(4). 994–1005. 137 indexed citations
16.
Tang, Chih‐Min & Paul A. Insel. (2005). Genetic variation in G-protein-coupled receptors – consequences for G-protein-coupled receptors as drug targets. Expert Opinion on Therapeutic Targets. 9(6). 1247–1265. 25 indexed citations
17.
Insel, Paul A., Brian P. Head, Rennolds S. Ostrom, et al.. (2005). Caveolae and Lipid Rafts: G Protein‐Coupled Receptor Signaling Microdomains in Cardiac Myocytes. Annals of the New York Academy of Sciences. 1047(1). 166–172. 106 indexed citations
18.
Tang, Chih‐Min, André Hoerning, Rainer Büscher, et al.. (2005). Human adenosine 2B receptor: SNP discovery and evaluation of expression in patients with cystic fibrosis. Pharmacogenetics and Genomics. 15(5). 321–327. 8 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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