Thomas Chong

831 citations
9 papers · 570 indexed · 1 hit paper · h-index 6

Impact in

  • Biophysics top 1%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Sirtuins and Resveratrol in Medicine

Papers in

Thomas Chong

9 papers receiving 561 citations

Hit Papers

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning 2019 · 406 citations
4062019202620212023100200300400

Peers

Thomas Chong
Comparison fields: 5 of 97
  • Biophysics 205
  • Geriatrics and Gerontology 44
  • Acoustics and Ultrasonics 9
  • Health Informatics 13
  • Media Technology 81
Replace Refaat E. Gabr with:
Refaat E. Gabr United States
Mary M. Maleckar Norway
Niklas Köhler Germany
Clovis Tauber France
Seungyoon B. Yu United States
Thomas Ach Germany
Saurav Basu United States
Xiaoxiao Liu China
Dirk Padfield United States
Fleming Lure United States
Thomas Chong relative to Refaat E. Gabr United States Refaat E. Gabr's profile →
Citations per field
00.5×4.5×
Refaat E. Gabr · 1×
Citations per year

Countries citing papers authored by Thomas Chong

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 20233
2 202021
3
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
Hit paper breakdown →
2019406
4 20197
5 201924
6 201874
7 201631
8 20133
9 20131

About Thomas Chong

Thomas Chong is a scholar working on Health Informatics, Family Practice, Geriatrics and Gerontology, Developmental Neuroscience and Biophysics, having authored 9 papers that have together received 570 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (2 papers), Biochemical effects in animals (2 papers), RNA Interference and Gene Delivery (2 papers), Mitochondrial Function and Pathology (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Alzheimer's disease research and treatments (1 paper), Sirtuins and Resveratrol in Medicine (1 paper) and Healthcare cost, quality, practices (1 paper). The work is most often cited by research in Biophysics (205 citations), Geriatrics and Gerontology (44 citations), Acoustics and Ultrasonics (9 citations), Health Informatics (13 citations) and Media Technology (81 citations). Thomas Chong has collaborated with scholars based in United States and Australia. Frequent co-authors include William D. Wallace, Anthony Sisk, Jonathan E. Zuckerman, Hongda Wang, Yair Rivenson, Yibo Zhang, Yichen Wu, Harun Günaydın, Zhensong Wei and Aydogan Özcan. Their work appears in journals such as Journal of Visualized Experiments, Nature Biomedical Engineering, Clinical Chemistry, Scientific Reports and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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