Garam An

684 citations
45 papers · 505 · h-index 13

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 8
    • Mitochondrial Function and Pathology 5
    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Zebrafish Biomedical Research Applications 18

Garam An

42 papers receiving 502 citations

Peers

Garam An
Comparison fields: 5 of 86
  • Cell Biology 160
  • Health, Toxicology and Mutagenesis 130
  • Pollution 55
  • Reproductive Medicine 29
  • Molecular Biology 196
Replace Taeyeon Hong with:
Taeyeon Hong South Korea
Jianhui He China
Kimberly Brannen United States
Zhen‐Nan Pan China
Ruixin Hao United States
Yuping Zhang China
Xiaoxin Dai China
Changyin Zhou China
Manon Beekhuijzen Netherlands
Karen Augustine‐Rauch United States
Garam An relative to Taeyeon Hong South Korea Taeyeon Hong's profile →
Citations per field
00.5×1.5×
Taeyeon Hong · 1×
Citations per year

Countries citing papers authored by Garam An

Since Specialization
Citations

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

Fields of papers citing papers by Garam An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Garam An, 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 Garam An Line = papers co-authored together Garam An links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202240
2 202231
3 202231
4 202429
5 202229
6 202326
7 202123
8 202221
9 202221
10 202016
11 202413
12 202212
13 202112
14 202212
15 202212
16 202312
17 202311
18 202311
19 202110
20 202410

About Garam An

Garam An is a scholar working on Molecular Biology, Cell Biology, Health, Toxicology and Mutagenesis, Immunology and Public Health, Environmental and Occupational Health, having authored 45 papers that have together received 505 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (18 papers), Environmental Toxicology and Ecotoxicology (10 papers), Genomics, phytochemicals, and oxidative stress (8 papers), Mitochondrial Function and Pathology (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Birth, Development, and Health (4 papers), Reproductive Biology and Fertility (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Cell Biology (160 citations), Health, Toxicology and Mutagenesis (130 citations), Pollution (55 citations), Reproductive Medicine (29 citations) and Molecular Biology (196 citations). Garam An has collaborated with scholars based in South Korea, United States and Bulgaria. Frequent co-authors include Gwonhwa Song, Whasun Lim, Taeyeon Hong, Hahyun Park, Junho Park, Jisoo Song, Hojun Lee, Junho Park, Jiyeon Ham and Woonghee Lee. Their work appears in journals such as Pesticide Biochemistry and Physiology, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, The Science of The Total Environment, Journal of Hazardous Materials and Food and Chemical Toxicology.

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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