Gal Chen

939 citations
14 papers · 584 · 1 hit paper · h-index 7

Impact in

Papers in

Gal Chen

12 papers receiving 573 citations

Gal Chen's Hit Papers

Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine 2019 · 379 citations
3790+2+4Years since publication100200300

Peers

Gal Chen
Comparison fields: 5 of 112
  • Health Informatics 17
  • Biomaterials 96
  • Biomedical Engineering 254
  • Biophysics 27
  • Molecular Biology 187
Replace Babak Kateb with:
Babak Kateb United States
Benjamin A. Katchman United States
Francesca Tatini Italy
Oleg Kovtun United States
Jithesh V. Veetil United States
Shadi Damanpour United States
Shuaimin Liu United States
Shannon E. Weigum United States
Donghan Lee South Korea
Gal Chen relative to Babak Kateb United States Babak Kateb's profile →
Citations per field
00.5×4.3×
Babak Kateb · 1×
Citations per year

Countries citing papers authored by Gal Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gal Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine
Hit paper breakdown →
2019379
2 202065
3 202245
4 202241
5 202219
6 202312
7 202010
8 20204
9 20204
10 20202
11 20122
12 20251
13 20250
14 20200

About Gal Chen

Gal Chen is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Ecology, having authored 14 papers that have together received 584 indexed citations. Recurring topics across this work include Photonic and Optical Devices (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Photoreceptor and optogenetics research (2 papers), Lipid Membrane Structure and Behavior (2 papers), Advanced Optical Sensing Technologies (2 papers), Bacteriophages and microbial interactions (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Health Informatics (17 citations), Biomaterials (96 citations), Biomedical Engineering (254 citations), Biophysics (27 citations) and Molecular Biology (187 citations). Gal Chen has collaborated with scholars based in Israel, Germany and Japan. Frequent co-authors include Avi Schroeder, Jeny Shklover, Janna Shainsky‐Roitman, Omer Adir, Nitzan Krinsky, Maria Poley, Sahar Froim, Twan Lammers, Maya Kaduri and Hala Harony‐Nicolas. Their work appears in journals such as Advanced Materials, Optics Express, Journal of Visualized Experiments, Neuron and Applied Optics.

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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