Gann Ting

2.5k citations
88 papers · 2.0k indexed · h-index 29

Impact in

Papers in

Gann Ting

85 papers receiving 2.0k citations

Peers

Gann Ting
Comparison fields: 5 of 117
  • Biomaterials 514
  • Radiology, Nuclear Medicine and Imaging 864
  • Neurology 475
  • Cellular and Molecular Neuroscience 343
  • Structural Biology 16
Replace Yearn Seong Choe with:
Yearn Seong Choe South Korea
Robert J. Nickles United States
Samuel Valable France
Vı́t Herynek Czechia
James R. Ballinger Canada
Dae Hyuk Moon South Korea
Björn Wängler Germany
Hyung‐Jun Im South Korea
David P. Nowotnik United States
Gann Ting relative to Yearn Seong Choe South Korea Yearn Seong Choe's profile →
Citations per field
00.5×5.3×
Yearn Seong Choe · 1×
Citations per year

Countries citing papers authored by Gann Ting

Since Specialization
Citations

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

Fields of papers citing papers by Gann Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gann Ting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gann Ting Line = papers co-authored together Gann Ting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201922
2 201413
3 201216
4 201110
5 201134
6 200930
7 200956
8 200829
9 200840
10 200844
11 20043
12 200311
13 20020
14 20022
15 20020
16 200228
17 200223
18 199930
19 199936
20 199759

About Gann Ting

Gann Ting is a scholar working on Nuclear Energy and Engineering, Radiology, Nuclear Medicine and Imaging, Industrial and Manufacturing Engineering, Biomaterials and Inorganic Chemistry, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (40 papers), Nanoparticle-Based Drug Delivery (20 papers), Chemical Synthesis and Characterization (13 papers), Parkinson's Disease Mechanisms and Treatments (12 papers), Radioactive element chemistry and processing (12 papers), Nanoplatforms for cancer theranostics (12 papers), Radiation Therapy and Dosimetry (11 papers) and Medical Imaging Techniques and Applications (10 papers). The work is most often cited by research in Biomaterials (514 citations), Radiology, Nuclear Medicine and Imaging (864 citations), Neurology (475 citations), Cellular and Molecular Neuroscience (343 citations) and Structural Biology (16 citations). Gann Ting has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shiaw‐Pyng Wey, Chih-Hsien Chang, Te‐Wei Lee, Kai‐Yuan Tzen, Tzu‐Chen Yen, Hsin‐Ell Wang, Ya‐Jen Chang, Shyh‐Jen Wang, Liang‐Cheng Chen and Bor‐Tsung Hsieh. Their work appears in journals such as Nuclear Medicine and Biology, Applied Radiation and Isotopes, European Journal of Nuclear Medicine and Molecular Imaging, Cancer Biotherapy and Radiopharmaceuticals and Separation Science and Technology.

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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