Dov J. Stekel
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 14
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts 13
- Endocrinology top 5%
- Ecology top 5%
- Bacteriophages and microbial interactions 9
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- Gene Regulatory Network Analysis 10
- Genomics and Phylogenetic Studies 6
- Gene expression and cancer classification 6
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- Evolution and Genetic Dynamics 9
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Jon L. HobmanYong‐Guan ZhuSteven A. BanwartPascal SimonetMichael R. GillingsJosep PeñuelasDafyd J. JenkinsSankalp Arya
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (4 papers)
- Partner nations
- United KingdomSouth AfricaUnited States
In The Last Decade
Dov J. Stekel
73 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Molecular Medicine 429
- Pollution 576
- Applied Microbiology and Biotechnology 94
- Endocrinology 159
- Ecology 515
Countries citing papers authored by Dov J. Stekel
This map shows the geographic impact of Dov J. Stekel'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 Dov J. Stekel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dov J. Stekel more than expected).
Fields of papers citing papers by Dov J. Stekel
This network shows the impact of papers produced by Dov J. Stekel. 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 Dov J. Stekel. The network helps show where Dov J. Stekel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dov J. Stekel, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 32 | |
| 8 | 2021 | 28 | |
| 9 | INfrastructure for a PHAge REference Database: Identification of Large-Scale Biases in the Current Collection of Cultured Phage Genomesbreakdown → | 2021 | 195 |
| 10 | 2021 | 8 | |
| 11 | 2021 | 10 | |
| 12 | 2017 | 16 | |
| 13 | 2013 | 18 | |
| 14 | 2009 | 138 | |
| 15 | 2008 | 16 | |
| 16 | Effects of Signalling on the Evolution of Gene Regulatory Networks | 2008 | 3 |
| 17 | 2005 | 6 | |
| 18 | 2000 | 205 | |
| 19 | 2000 | 32 | |
| 20 | 1995 | 20 |
About Dov J. Stekel
Dov J. Stekel is a scholar working on Molecular Medicine, Pollution and Applied Microbiology and Biotechnology, having authored 75 papers that have together received 2.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Pharmaceutical and Antibiotic Environmental Impacts (13 papers), Gene Regulatory Network Analysis (10 papers), Bacteriophages and microbial interactions (9 papers), Evolution and Genetic Dynamics (9 papers), Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Molecular Medicine (429 citations), Pollution (576 citations) and Applied Microbiology and Biotechnology (94 citations). Dov J. Stekel has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Jon L. Hobman, Yong‐Guan Zhu, Steven A. Banwart, Pascal Simonet, Michael R. Gillings, Josep Peñuelas, Dafyd J. Jenkins, Sankalp Arya, Karishma Asiani and Christopher Rensing. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.