Daniel H. Y. Shen

629 total citations
19 papers, 498 citations indexed

About

Daniel H. Y. Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daniel H. Y. Shen has authored 19 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daniel H. Y. Shen's work include Radiopharmaceutical Chemistry and Applications (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Medical Imaging Techniques and Applications (4 papers). Daniel H. Y. Shen is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Medical Imaging Techniques and Applications (4 papers). Daniel H. Y. Shen collaborates with scholars based in Taiwan, United States and Canada. Daniel H. Y. Shen's co-authors include Sissy Jhiang, Richard T. Kloos, Krista M. D. La Perle, George H. Hinkle, Ernest L. Mazzaferri, Rodney V. Pozderac, Brett Williams, Weilian Yang, Haikady N. Nagaraja and Rolf F. Barth and has published in prestigious journals such as Circulation, Scientific Reports and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Daniel H. Y. Shen

18 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel H. Y. Shen Taiwan 11 155 152 150 100 98 19 498
Bariş Boyraz United States 12 55 0.4× 277 1.8× 84 0.6× 49 0.5× 80 0.8× 27 619
Sherry Bullens United States 10 71 0.5× 275 1.8× 48 0.3× 48 0.5× 62 0.6× 13 578
D. Violot France 11 87 0.6× 124 0.8× 49 0.3× 33 0.3× 71 0.7× 15 352
Hideyuki Ohtake Japan 14 130 0.8× 125 0.8× 42 0.3× 71 0.7× 25 0.3× 19 789
R. Ben Yosef Israel 6 50 0.3× 114 0.8× 85 0.6× 36 0.4× 147 1.5× 11 369
K. Pesonen Finland 9 140 0.9× 136 0.9× 46 0.3× 53 0.5× 24 0.2× 11 496
Su-Mi Chung South Korea 11 29 0.2× 54 0.4× 67 0.4× 124 1.2× 85 0.9× 15 399
David Fitzpatrick Ireland 10 44 0.3× 79 0.5× 39 0.3× 72 0.7× 98 1.0× 24 389
Salma Amin United Kingdom 14 33 0.2× 140 0.9× 180 1.2× 158 1.6× 102 1.0× 23 607
Valentina Iacobelli Italy 11 56 0.4× 171 1.1× 76 0.5× 20 0.2× 55 0.6× 22 477

Countries citing papers authored by Daniel H. Y. Shen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Y. Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Y. Shen. 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 Daniel H. Y. Shen. The network helps show where Daniel H. Y. Shen may publish in the future.

Co-authorship network of co-authors of Daniel H. Y. Shen

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

All Works

19 of 19 papers shown
1.
Shen, Daniel H. Y., et al.. (2020). Integrative Circuit-Host Modeling of a Genetic Switch in Varying Environments. Scientific Reports. 10(1). 8383–8383. 11 indexed citations
2.
Cheng, Peng, Daniel H. Y. Shen, Kimerly Powell, et al.. (2017). Automated MicroSPECT/MicroCT Image Analysis of the Mouse Thyroid Gland. Thyroid. 27(11). 1433–1440.
3.
Cheng, Cheng‐Yi, et al.. (2014). Experience of low-dose aminophylline use to relieve minor adverse effects of dipyridamole in patients undergoing stress myocardial perfusion imaging. Journal of Nuclear Cardiology. 21(3). 563–569. 3 indexed citations
4.
Ko, Kai‐Hsiung, Hsian-He Hsu, Hong‐Wei Gao, et al.. (2014). Value of 18F-FDG uptake on PET/CT and CEA level to predict epidermal growth factor receptor mutations in pulmonary adenocarcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 41(10). 1889–1897. 55 indexed citations
5.
Shen, Daniel H. Y., et al.. (2014). Modulation of Sodium Iodide Symporter in Thyroid Cancer. Hormones and Cancer. 5(6). 363–373. 26 indexed citations
6.
Hu, Ming‐Kuan, et al.. (2014). Improved and optimized one-pot method for N -succinimidyl-4-[ 18 F]fluorobenzoate ([ 18 F]SFB) synthesis using microwaves. Applied Radiation and Isotopes. 94. 113–117. 5 indexed citations
7.
Perle, Krista M. D. La, Dong Chul Kim, Nathan C. Hall, et al.. (2013). Modulation of Sodium/Iodide Symporter Expression in the Salivary Gland. Thyroid. 23(8). 1029–1036. 66 indexed citations
8.
Dhingra, Sanjiv, Peng Li, Xi‐Ping Huang, et al.. (2013). Preserving Prostaglandin E2 Level Prevents Rejection of Implanted Allogeneic Mesenchymal Stem Cells and Restores Postinfarction Ventricular Function. Circulation. 128(11_suppl_1). S69–78. 66 indexed citations
9.
Shen, Daniel H. Y., et al.. (2012). Conversion From FDG-Negative to -Positive During Follow-Up in a Rare Case of Pulmonary Lymphoepithelioma-Like Carcinoma. Clinical Nuclear Medicine. 37(7). 679–681. 11 indexed citations
11.
Cheng, Cheng‐Yi, et al.. (2011). Unusual Tc-99m Methylene Diphosphonate Uptake by Clinically Suspected Adrenal Metastases From Hepatocellular Carcinoma. Clinical Nuclear Medicine. 36(12). e207–e208. 1 indexed citations
12.
Cheng, Cheng‐Yi, et al.. (2008). Tumoral Calcinosis Demonstrated on Tc-99m Sestamibi Scintigraphy. Clinical Nuclear Medicine. 33(12). 920–921. 2 indexed citations
13.
Cheng, Cheng‐Yi, et al.. (2007). FDG PET/CT Demonstrated Rapid Progression of Mediastinal Lymphadenopathy in Sarcoidosis. Clinical Nuclear Medicine. 32(2). 117–121. 8 indexed citations
14.
Vadysirisack, Douangsone D., Daniel H. Y. Shen, & Sissy Jhiang. (2006). Correlation of Na+/I- symporter expression and activity: implications of Na+/I- symporter as an imaging reporter gene.. PubMed. 47(1). 182–90. 6 indexed citations
15.
Marsee, Derek K., Daniel H. Y. Shen, L.R. MacDonald, et al.. (2004). Imaging of metastatic pulmonary tumors following NIS gene transfer using single photon emission computed tomography. Cancer Gene Therapy. 11(2). 121–127. 34 indexed citations
16.
17.
Shen, Daniel H. Y., Weilian Yang, Brett Williams, et al.. (2002). In vivo imaging and radioiodine therapy following sodium iodide symporter gene transfer in animal model of intracerebral gliomas. Gene Therapy. 9(17). 1139–1145. 92 indexed citations
18.
Perle, Krista M. D. La, Daniel H. Y. Shen, George H. Hinkle, et al.. (2002). In vivo expression and function of the sodium iodide symporter following gene transfer in the MATLyLu rat model of metastatic prostate cancer. The Prostate. 50(3). 170–178. 34 indexed citations
19.
Shen, Daniel H. Y., Richard T. Kloos, Ernest L. Mazzaferri, & Sissy Jhiang. (2001). Sodium Iodide Symporter in Health and Disease. Thyroid. 11(5). 415–425. 65 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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