Stephan Gebel
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Behavioral Neuroscience top 5%
Papers in
-
- Air Quality and Health Impacts 6
-
- Bioinformatics and Genomic Networks 12
- Genomics, phytochemicals, and oxidative stress 7
- Biomedical Text Mining and Ontologies 7
- Gene Regulatory Network Analysis 3
- Co-authors
- Hans J. RahmsdorfHelmut PontaAndrew C.B. CatoPeter HerrlichCarsten JonatKun-Koo ParkThomas MüllerAdriana Radler‐Pohl
- Journals
- Bioinformatics and Biology Insights (4 papers)Toxicological Sciences (4 papers)Toxicology Letters (3 papers)Food and Chemical Toxicology (2 papers)Bioinformatics (2 papers)
- Partner nations
- GermanySwitzerlandLuxembourg
In The Last Decade
Stephan Gebel
43 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 573
- Behavioral Neuroscience 93
- Genetics 691
- Immunology 515
- Molecular Biology 1.7k
Countries citing papers authored by Stephan Gebel
This map shows the geographic impact of Stephan Gebel'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 Gebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Gebel more than expected).
Fields of papers citing papers by Stephan Gebel
This network shows the impact of papers produced by Stephan Gebel. 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 Gebel. The network helps show where Stephan Gebel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephan Gebel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 10 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 5 | |
| 7 | 2018 | 37 | |
| 8 | 2016 | 34 | |
| 9 | 2016 | 57 | |
| 10 | 2014 | 50 | |
| 11 | 2014 | 17 | |
| 12 | 2013 | 15 | |
| 13 | 2013 | 46 | |
| 14 | 2011 | 51 | |
| 15 | 2011 | 45 | |
| 16 | 2005 | 57 | |
| 17 | 2003 | 74 | |
| 18 | 2003 | 83 | |
| 19 | 1993 | 52 | |
| 20 | 1988 | 18 |
About Stephan Gebel
Stephan Gebel is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Toxicology, Cancer Research and Computational Theory and Mathematics, having authored 44 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Biomedical Text Mining and Ontologies (7 papers), Air Quality and Health Impacts (6 papers), Computational Drug Discovery Methods (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Gene Regulatory Network Analysis (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Cancer Research (573 citations), Behavioral Neuroscience (93 citations), Genetics (691 citations), Immunology (515 citations) and Molecular Biology (1.7k citations). Stephan Gebel has collaborated with scholars based in Germany, Switzerland and Luxembourg. Frequent co-authors include Hans J. Rahmsdorf, Helmut Ponta, Andrew C.B. Cato, Peter Herrlich, Carsten Jonat, Kun-Koo Park, Peter Herrlich, Thomas Müller, Adriana Radler‐Pohl and Arnd Hengstermann. Their work appears in journals such as Bioinformatics and Biology Insights, Toxicological Sciences, Toxicology Letters, Food and Chemical Toxicology and Bioinformatics.
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.