Stephan Gabos

1.7k citations
46 papers · 1.3k · h-index 20

Impact in

Papers in

Stephan Gabos

46 papers receiving 1.3k citations

Peers

Stephan Gabos
Comparison fields: 5 of 139
  • Health, Toxicology and Mutagenesis 398
  • Environmental Chemistry 249
  • Pollution 149
  • Biophysics 49
  • Analytical Chemistry 78
Replace Chenglong Li with:
Chenglong Li China
A. Léonard Belgium
Enrico Sabbioni Italy
Junko Fujihara Japan
D. W. R. Bleyl Germany
Yanying Li China
Jessica M. Boyd Canada
Ying Xiong China
Wei‐Chun Chou United States
Barbara Gouget France
Stephan Gabos relative to Chenglong Li China Chenglong Li's profile →
Citations per field
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Chenglong Li · 1×
Citations per year

Countries citing papers authored by Stephan Gabos

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Gabos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005263
2 2016141
3 2006122
4 200870
5 200167
6 200455
7 201048
8 200547
9 200341
10 201237
11 201336
12 201332
13 198732
14 200925
15 201725
16 200323
17 200223
18 201322
19 201020
20 200919

About Stephan Gabos

Stephan Gabos is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Biomedical Engineering, Environmental Chemistry and Computational Theory and Mathematics, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (6 papers), 3D Printing in Biomedical Research (6 papers), Gene Regulatory Network Analysis (5 papers), Computational Drug Discovery Methods (5 papers), Arsenic contamination and mitigation (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Cell Image Analysis Techniques (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (398 citations), Environmental Chemistry (249 citations), Pollution (149 citations), Biophysics (49 citations) and Analytical Chemistry (78 citations). Stephan Gabos has collaborated with scholars based in Canada, China and India. Frequent co-authors include James Z. Xing, Lijun Zhu, Xing‐Fang Li, X. Chris Le, Birget Moe, Xiao Xu, Xuejun Sun, Xiaobo Wang, Li Xie and Xiufen Lu. Their work appears in journals such as Analytica Chimica Acta, Environmental Health Perspectives, Analytical and Bioanalytical Chemistry, Analytical Biochemistry and Environmental Science & Technology.

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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