Stephan Gebel

4.1k citations
44 papers · 3.1k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Stephan Gebel

43 papers receiving 3.0k citations

Hit Papers

Antitumor promotion and antiinflammation: Down-modulation of AP-1 (Fos/Jun) activity by glucocorticoid hormone 1990 · 1.4k citations
1.4k19902026200220144008001.2k

Peers

Stephan Gebel
Comparison fields: 5 of 131
  • Cancer Research 573
  • Behavioral Neuroscience 93
  • Genetics 691
  • Immunology 515
  • Molecular Biology 1.7k
Replace Songjoon Baek with:
Songjoon Baek United States
Jason Montojo Canada
Rajeshwar R. Tekmal United States
Christian Lopes Canada
Gil Stelzer Israel
Khalid Zuberi Canada
J. Dinny Graham Australia
Bing-e Xu United States
Fang Hua China
Michal Twik Israel
Stephan Gebel relative to Songjoon Baek United States Songjoon Baek's profile →
Citations per field
00.5×1.7×
Songjoon Baek · 1×
Citations per year

Countries citing papers authored by Stephan Gebel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephan Gebel Line = papers co-authored together Stephan Gebel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 202210
4 20201
5 202023
6 20195
7 201837
8 201634
9 201657
10 201450
11 201417
12 201315
13 201346
14 201151
15 201145
16 200557
17 200374
18 200383
19 199352
20 198818

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.

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