Ssu‐Ching Chen

73 papers receiving 2.4k citations

Peers

Ssu‐Ching Chen
Comparison fields: 5 of 133
  • Biochemistry 208
  • Toxicology 87
  • Pollution 280
  • Pharmacology 201
  • Applied Microbiology and Biotechnology 41
Replace Tzong‐Huei Lee with:
Tzong‐Huei Lee Taiwan
Seong‐Ho Lee United States
Poyil Pratheeshkumar United States
Armando Zarrelli Italy
Ahmad Faizal Abdull Razis Malaysia
Muhammad Nadeem Pakistan
Lusânia Maria Greggi Antunes Brazil
Sang‐Han Lee South Korea
Fu‐An Chen Taiwan
Jayaraj Ravindran India
Ssu‐Ching Chen relative to Tzong‐Huei Lee Taiwan Tzong‐Huei Lee's profile →
Citations per field
00.5×2.7×
Tzong‐Huei Lee · 1×
Citations per year

Countries citing papers authored by Ssu‐Ching Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ssu‐Ching Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012204
2 2011136
3
Connexin43 reverses the phenotype of transformed cells and alters their expression of cyclin/cyclin-dependent kinases.
1995124
4 2000118
5 2006112
6 200791
7 200691
8 201581
9 200866
10 201062
11 201054
12 201150
13 200649
14 201047
15 201342
16 200841
17 201840
18 201139
19 200539
20
Involvement of Bax, Bcl-2, Ca2+ and caspase-3 in capsaicin-induced apoptosis of human leukemia HL-60 cells.
200639

About Ssu‐Ching Chen

Ssu‐Ching Chen is a scholar working on Molecular Biology, Pollution, Health, Toxicology and Mutagenesis, Plant Science and Cancer Research, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (11 papers), Carcinogens and Genotoxicity Assessment (8 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Fungal Biology and Applications (6 papers), Environmental Toxicology and Ecotoxicology (6 papers), Microbial Community Ecology and Physiology (6 papers), Free Radicals and Antioxidants (5 papers) and Pesticide Exposure and Toxicity (5 papers). The work is most often cited by research in Biochemistry (208 citations), Toxicology (87 citations), Pollution (280 citations), Pharmacology (201 citations) and Applied Microbiology and Biotechnology (41 citations). Ssu‐Ching Chen has collaborated with scholars based in Taiwan, United States and Malaysia. Frequent co-authors include You-Cheng Hseu, Hsin-Ling Yang, King-Thom Chung, K. J. Senthil Kumar, Chih‐Ching Chien, C.M. Kao, Jing‐Gung Chung, Yueh‐Hsiung Kuo, Alton L. Boynton and Ao Peng. Their work appears in journals such as Food and Chemical Toxicology, Journal of Hazardous Materials, Environmental Toxicology, Environmental and Molecular Mutagenesis and Journal of Ethnopharmacology.

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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