Stan Gaj
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
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- Molecular Biology Techniques and Applications 4
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 4
- Microbial Metabolic Engineering and Bioproduction 2
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- Drug-Induced Hepatotoxicity and Protection 3
- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- Chris T. Evelo (7 shared papers)Jos Kleinjans (8 shared papers)Sandra M.H. Claessen (4 shared papers)Florian Caiment (1 shared paper)Lars Eijssen (3 shared papers)Alexander C. Zambon (1 shared paper)Karen Vranizan (1 shared paper)Bruce R. Conklin (1 shared paper)
- Journals
- Toxicology in Vitro (2 papers)Nucleic Acids Research (2 papers)Molecular Nutrition & Food Research (1 paper)Drug Discovery Today (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Stan Gaj
17 papers receiving 844 citations
Peers
Comparison fields: 5 of 105
- Cancer Research 210
- Pharmacology 64
- Molecular Biology 497
- Nutrition and Dietetics 110
- Health, Toxicology and Mutagenesis 93
Countries citing papers authored by Stan Gaj
This map shows the geographic impact of Stan Gaj'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 Stan Gaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Gaj more than expected).
Fields of papers citing papers by Stan Gaj
This network shows the impact of papers produced by Stan Gaj. 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 Stan Gaj. The network helps show where Stan Gaj may publish in the future.
Co-authors
The 25 scholars most cited alongside Stan Gaj, 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 | 2012 | 192 | |
| 2 | 2015 | 113 | |
| 3 | 2013 | 105 | |
| 4 | 2009 | 99 | |
| 5 | 2012 | 56 | |
| 6 | 2012 | 44 | |
| 7 | 2012 | 36 | |
| 8 | 2014 | 36 | |
| 9 | 2009 | 36 | |
| 10 | 2015 | 29 | |
| 11 | 2008 | 22 | |
| 12 | 2010 | 20 | |
| 13 | 2015 | 18 | |
| 14 | 2011 | 13 | |
| 15 | 2014 | 13 | |
| 16 | 2007 | 12 | |
| 17 | 2013 | 11 |
About Stan Gaj
Stan Gaj is a scholar working on Molecular Biology, Pharmacology, Cancer Research, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics, having authored 17 papers that have together received 855 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (4 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers), MicroRNA in disease regulation (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Cancer Research (210 citations), Pharmacology (64 citations), Molecular Biology (497 citations), Nutrition and Dietetics (110 citations) and Health, Toxicology and Mutagenesis (93 citations). Stan Gaj has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Chris T. Evelo, Jos Kleinjans, Sandra M.H. Claessen, Florian Caiment, Lars Eijssen, Alexander C. Zambon, Karen Vranizan, Bruce R. Conklin, Kristina Hanspers and Alexander R. Pico. Their work appears in journals such as Toxicology in Vitro, Nucleic Acids Research, Molecular Nutrition & Food Research, Drug Discovery Today and BMC 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.