Samuel Chung

880 citations
30 papers · 564 · h-index 10

Impact in

Papers in

Samuel Chung

27 papers receiving 545 citations

Peers

Samuel Chung
Comparison fields: 5 of 96
  • Aging 152
  • Endocrine and Autonomic Systems 88
  • Biophysics 45
  • Ophthalmology 61
  • Cellular and Molecular Neuroscience 87
Replace Hulusi Cinar with:
Hulusi Cinar United States
Kaustubh R. Rau United States
Albert Lin United States
Christopher B. Rohde United States
Takuma Sugi Japan
Valeria Piazza Mexico
Ryan Christensen United States
J Mancuso United States
Trushal Vijaykumar Chokshi United States
Allyson E. Sgro United States
Samuel Chung relative to Hulusi Cinar United States Hulusi Cinar's profile →
Citations per field
00.5×3.8×
Hulusi Cinar · 1×
Citations per year

Countries citing papers authored by Samuel Chung

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009212
2 200876
3 201445
4 200536
5 200934
6 201431
7 201024
8 201315
9 201314
10 202013
11 20229
12 20218
13 20228
14 20248
15 20176
16 20236
17 20194
18
Family characteristics and offspring growth in various countries. I. Frequency of various family types in Bulgaria, Japan, Korea, Mexico and Poland.
19944
19 19973
20 20231

About Samuel Chung

Samuel Chung is a scholar working on Aging, Cellular and Molecular Neuroscience, Physiology, Ecology, Evolution, Behavior and Systematics and Biomedical Engineering, having authored 30 papers that have together received 564 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), Photoreceptor and optogenetics research (5 papers), Spaceflight effects on biology (4 papers), Biocrusts and Microbial Ecology (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Ocular and Laser Science Research (3 papers), Circadian rhythm and melatonin (3 papers) and Laser Material Processing Techniques (2 papers). The work is most often cited by research in Aging (152 citations), Endocrine and Autonomic Systems (88 citations), Biophysics (45 citations), Ophthalmology (61 citations) and Cellular and Molecular Neuroscience (87 citations). Samuel Chung has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Eric Mazur, Christopher V. Gabel, Iva Maxwell, Lin Sun, Caroline Craig, William R Schafer, Christopher Fang‐Yen, Rex Kerr, Hiroshi Suzuki and Aravinthan D. T. Samuel. Their work appears in journals such as Journal of Visualized Experiments, Journal of Biophotonics, Scientific Reports, Journal of Medicinal Chemistry and Cell Reports.

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.

Explore authors with similar magnitude of impact