Daw-Tsun Shih

837 total citations
17 papers, 709 citations indexed

About

Daw-Tsun Shih is a scholar working on Molecular Biology, Immunology and Allergy and Pharmacology. According to data from OpenAlex, Daw-Tsun Shih has authored 17 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Immunology and Allergy and 5 papers in Pharmacology. Recurrent topics in Daw-Tsun Shih's work include Cell Adhesion Molecules Research (9 papers), Cannabis and Cannabinoid Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Daw-Tsun Shih is often cited by papers focused on Cell Adhesion Molecules Research (9 papers), Cannabis and Cannabinoid Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Daw-Tsun Shih collaborates with scholars based in United States, Germany and United Kingdom. Daw-Tsun Shih's co-authors include Clayton A. Buck, Martin E. Hemler, Gianfranco Bazzoni, Mei‐Yu Hsu, David E. Elder, Friedegund Meier, Meenhard Herlyn, Patricia Van Belle, Ju-Yu Hsu and David Thomson and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Analytical Biochemistry.

In The Last Decade

Daw-Tsun Shih

17 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daw-Tsun Shih United States 11 357 288 167 110 108 17 709
Barbara‐Jean Bormann United States 10 245 0.7× 312 1.1× 72 0.4× 62 0.6× 86 0.8× 13 617
M. Schneller Germany 7 295 0.8× 393 1.4× 198 1.2× 90 0.8× 28 0.3× 9 653
Ararat J. Ablooglu United States 14 175 0.5× 424 1.5× 142 0.9× 72 0.7× 59 0.5× 21 688
D J McCarley Switzerland 8 82 0.2× 462 1.6× 86 0.5× 313 2.8× 134 1.2× 8 765
Teresa Riccioni Italy 18 97 0.3× 545 1.9× 40 0.2× 143 1.3× 66 0.6× 25 893
Anthony Cormier United States 12 113 0.3× 380 1.3× 201 1.2× 166 1.5× 23 0.2× 15 642
Melanie Wong United States 17 82 0.2× 418 1.5× 43 0.3× 156 1.4× 54 0.5× 23 830
Christine R. Hoffman United States 10 60 0.2× 344 1.2× 70 0.4× 155 1.4× 53 0.5× 12 554
Fadia E. Ali United States 11 226 0.6× 355 1.2× 22 0.1× 85 0.8× 96 0.9× 19 592
D E Nies United States 7 231 0.6× 195 0.7× 190 1.1× 26 0.2× 27 0.3× 10 490

Countries citing papers authored by Daw-Tsun Shih

Since Specialization
Citations

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

Fields of papers citing papers by Daw-Tsun Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daw-Tsun Shih

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

All Works

17 of 17 papers shown
1.
Chen, Hung-Kai, et al.. (2019). Abstract 343: A potent and selective cfms inhibitor EI-1071 inhibits CSF1R signaling and regulates the tumor-associated macrophages. Cancer Research. 79(13_Supplement). 343–343. 2 indexed citations
2.
Moss, Neil, Zhaoming Xiong, Derek A. Cogan, et al.. (2012). Exploration of cathepsin S inhibitors characterized by a triazole P1–P2 amide replacement. Bioorganic & Medicinal Chemistry Letters. 22(23). 7189–7193. 11 indexed citations
3.
Zindell, Renée, John Scott, Patricia Amouzegh, et al.. (2011). Aryl 1,4-diazepane compounds as potent and selective CB2 agonists: Optimization of drug-like properties and target independent parameters. Bioorganic & Medicinal Chemistry Letters. 21(14). 4276–4280. 9 indexed citations
4.
Riether, Doris, Lifen Wu, Pier F. Cirillo, et al.. (2011). 1,4-Diazepane compounds as potent and selective CB2 agonists: Optimization of metabolic stability. Bioorganic & Medicinal Chemistry Letters. 21(7). 2011–2016. 13 indexed citations
5.
Zindell, Renée, Doris Riether, Todd Bosanac, et al.. (2009). Morpholine containing CB2 selective agonists. Bioorganic & Medicinal Chemistry Letters. 19(6). 1604–1609. 16 indexed citations
6.
Ermann, Monika, Doris Riether, Mark L. Brewer, et al.. (2008). Arylsulfonamide CB2 receptor agonists: SAR and optimization of CB2 selectivity. Bioorganic & Medicinal Chemistry Letters. 18(5). 1725–1729. 27 indexed citations
7.
Betageri, Raj, Yan Zhang, Renée Zindell, et al.. (2005). Trifluoromethyl group as a pharmacophore: Effect of replacing a CF3 group on binding and agonist activity of a glucocorticoid receptor ligand. Bioorganic & Medicinal Chemistry Letters. 15(21). 4761–4769. 89 indexed citations
8.
Crane, K. & Daw-Tsun Shih. (2004). Development of a homogeneous binding assay for histamine receptors. Analytical Biochemistry. 335(1). 42–49. 10 indexed citations
9.
Nesbit, Mark E., Helmut Schaider, Carola Berking, et al.. (2001). α5 and α2 Integrin Gene Transfers Mimic the PDGF-B–Induced Transformed Phenotype of Fibroblasts in Human Skin. Laboratory Investigation. 81(9). 1263–1274. 8 indexed citations
10.
Hunt, D. Margaret, et al.. (2001). Vitreous-induced Modulation of Integrins in Retinal Pigment Epithelial Cells: Effects of Fibroblast Growth Factor-2. Experimental Eye Research. 73(5). 681–692. 17 indexed citations
11.
Woska, Joseph R., Daw-Tsun Shih, Viviany R. Taqueti, et al.. (2001). A small-molecule antagonist of LFA-1 blocks a conformational change important for LFA-1 function. Journal of Leukocyte Biology. 70(2). 329–334. 45 indexed citations
12.
Hsu, Mei‐Yu, Daw-Tsun Shih, Friedegund Meier, et al.. (1998). Adenoviral Gene Transfer of β3 Integrin Subunit Induces Conversion from Radial to Vertical Growth Phase in Primary Human Melanoma. American Journal Of Pathology. 153(5). 1435–1442. 171 indexed citations
13.
Meier, Friedegund, Mei‐Yu Hsu, Daw-Tsun Shih, et al.. (1998). In vitro skin reconstructs to study cell-cell and cell-matrix interactions in human melanoma. Journal of Dermatological Science. 16. S97–S97. 2 indexed citations
14.
Simpson, David G., Titus A. Reaves, Daw-Tsun Shih, et al.. (1998). Cardiac Integrins. Cardiovascular Pathology. 7(3). 135–143. 2 indexed citations
15.
Shih, Daw-Tsun, David Boettiger, & Clayton A. Buck. (1997). Epitopes of adhesion-perturbing monoclonal antibodies map within a predicted α-helical domain of the integrin β1 subunit. Journal of Cell Science. 110(20). 2619–2628. 14 indexed citations
16.
Bazzoni, Gianfranco, Daw-Tsun Shih, Clayton A. Buck, & Martin E. Hemler. (1995). Monoclonal Antibody 9EG7 Defines a Novel β1 Integrin Epitope Induced by Soluble Ligand and Manganese, but Inhibited by Calcium. Journal of Biological Chemistry. 270(43). 25570–25577. 255 indexed citations
17.
Buck, Clayton A., Steven Μ. Albelda, László Damjanovich, et al.. (1990). Immunohistochemical and molecular analysis of β1 and β3 integrins. Cell Differentiation and Development. 32(3). 189–202. 18 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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