Daniel H. Y. Shen

18 papers receiving 487 citations

Peers

Daniel H. Y. Shen
Comparison fields: 5 of 62
  • Radiology, Nuclear Medicine and Imaging 155
  • Molecular Biology 152
  • Endocrinology, Diabetes and Metabolism 150
  • Surgery 100
  • Pulmonary and Respiratory Medicine 98
Replace S.G. Swisher with:
S.G. Swisher United States
David J.D. Perrins United Kingdom
Hideyuki Ohtake Japan
Bariş Boyraz United States
Su-Mi Chung South Korea
D. Violot France
David Fitzpatrick Ireland
Silvia Ursino Italy
Aditya Shenoy United Kingdom
Gian Paolo Spinelli Italy
Daniel H. Y. Shen relative to S.G. Swisher United States S.G. Swisher's profile →
Citations per field
00.5×3.2×
S.G. Swisher · 1×
Citations per year

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
#WorkIndexed citations
1 11
2 0
3 3
4 26
5 55
6 5
7 66
8 66
9 11
10 12
11 1
12 2
13 8
14
Correlation of Na+/I- symporter expression and activity: implications of Na+/I- symporter as an imaging reporter gene.
6
15 34
16 1
17 34
18 92
19 65

About Daniel H. Y. Shen

Daniel H. Y. Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Otorhinolaryngology, having authored 19 papers that have together received 498 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (150 citations), Radiology, Nuclear Medicine and Imaging (155 citations) and Genetics (50 citations). Daniel H. Y. Shen has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Sissy Jhiang, Richard T. Kloos, Krista M. D. La Perle, George H. Hinkle, Ernest L. Mazzaferri, Rodney V. Pozderac, Weilian Yang, Haikady N. Nagaraja, Rolf F. Barth and Brett Williams. Their work appears in journals such as Circulation, Scientific Reports and European Journal of Nuclear Medicine and Molecular Imaging.

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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