Gene Chong

434 citations
15 papers · 302 · h-index 8

Impact in

Papers in

Gene Chong

10 papers receiving 301 citations

Peers

Gene Chong
Comparison fields: 5 of 61
  • Sensory Systems 33
  • Electronic, Optical and Magnetic Materials 87
  • Biomaterials 37
  • Cellular and Molecular Neuroscience 48
  • Physical and Theoretical Chemistry 21
Replace P. Hummel with:
P. Hummel United States
Alessandra Gilardino Italy
Aarat P. Kalra Canada
Ronald A. Wassel United States
Jeremy S. Treger United States
Eric A. Archer United States
Yulin Hua China
R. Lea Sanford United States
Vsevolod Ivanov United States
John McGinness United States
Gene Chong relative to P. Hummel United States P. Hummel's profile →
Citations per field
00.5×4.6×
P. Hummel · 1×
Citations per year

Countries citing papers authored by Gene Chong

Since Specialization
Citations

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

Fields of papers citing papers by Gene Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Gene 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 Gene Chong Line = papers co-authored together Gene Chong links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201984
2 201369
3 201937
4 201831
5 201829
6 202124
7 201913
8 202011
9 20223
10 20261
11 20240
12 20240
13 20250
14 20250
15 20240

About Gene Chong

Gene Chong is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials, Surfaces, Coatings and Films, Organic Chemistry and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 302 indexed citations. Recurring topics across this work include Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Polymer Surface Interaction Studies (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Galectins and Cancer Biology (1 paper) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Sensory Systems (33 citations), Electronic, Optical and Magnetic Materials (87 citations), Biomaterials (37 citations), Cellular and Molecular Neuroscience (48 citations) and Physical and Theoretical Chemistry (21 citations). Gene Chong has collaborated with scholars based in United States. Frequent co-authors include Rigoberto Hernandez, Catherine J. Murphy, Meng Wu, Maria Borisovska, Robert J. Hamers, Gary L. Westbrook, Ariane Vartanian, Joel A. Pedersen, Elizabeth D. Laudadio and Alexander D. MacKerell. Their work appears in journals such as Nature Chemical Biology, The Journal of Physical Chemistry C, Journal of the American Chemical Society, Biochimica et Biophysica Acta (BBA) - General Subjects and ACS Nano.

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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