J. Tan

737 citations
28 papers · 543 · h-index 12

Impact in

Papers in

J. Tan

28 papers receiving 529 citations

Peers

J. Tan
Comparison fields: 5 of 70
  • Electrical and Electronic Engineering 386
  • Atomic and Molecular Physics, and Optics 151
  • Clinical Psychology 59
  • Nuclear Energy and Engineering 1
  • Materials Chemistry 87
Replace Sangha Lee with:
Sangha Lee South Korea
Fiona Barry Ireland
Lena Bischoff Germany
Thomas McGee United States
Christopher Flynn Australia
Yong‐Jin Seo South Korea
Chris Kang United States
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J. Tan relative to Sangha Lee South Korea Sangha Lee's profile →
Citations per field
00.5×1.5×2.2×
Sangha Lee · 1×
Citations per year

Countries citing papers authored by J. Tan

Since Specialization
Citations

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

Fields of papers citing papers by J. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Tan, 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 J. Tan Line = papers co-authored together J. Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008161
2 2021109
3 202159
4 200726
5 201124
6 201319
7 200419
8 202116
9 200714
10 201712
11 201512
12 200711
13 20209
14 20068
15 20198
16 20038
17 20067
18 20134
19 20253
20 20213

About J. Tan

J. Tan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Clinical Psychology, Neurology and Rehabilitation, having authored 28 papers that have together received 543 indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (12 papers), Thin-Film Transistor Technologies (7 papers), Silicon Nanostructures and Photoluminescence (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Stroke Rehabilitation and Recovery (3 papers), Cerebral Palsy and Movement Disorders (3 papers) and Semiconductor materials and interfaces (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (386 citations), Atomic and Molecular Physics, and Optics (151 citations), Clinical Psychology (59 citations), Nuclear Energy and Engineering (1 citation) and Materials Chemistry (87 citations). J. Tan has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Daniel Macdonald, Thorsten Trupke, A. Cuevas, Ramkumar Aishworiya, Shefaly Shorey, Esperanza Debby Ng, Nicholas E. Grant, Stefan W. Glunz, Martin C. Schubert and Tim Niewelt. Their work appears in journals such as Journal of Pediatric Psychology, Journal of Applied Physics, Journal of Medical Internet Research, Medical Physics and Applied Physics Letters.

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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