Szabolcs Semsey
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
- Endocrinology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 18
- Gene Regulatory Network Analysis 18
- DNA and Nucleic Acid Chemistry 9
- Advanced biosensing and bioanalysis techniques 4
- Genetics 33
- Bacterial Genetics and Biotechnology 30
- Evolution and Genetic Dynamics 5
- Co-authors
- Sandeep Krishna (25 shared papers)Kim Sneppen (17 shared papers)Sankar Adhya (10 shared papers)Alexander Harms (2 shared papers)Éric Massé (3 shared papers)Namiko Mitarai (6 shared papers)Kenn Gerdes (2 shared papers)Michael A. Sørensen (2 shared papers)
- Journals
- Scientific Reports (7 papers)PLoS ONE (6 papers)Nucleic Acids Research (6 papers)mBio (5 papers)Journal of Bacteriology (5 papers)
- Partner nations
- DenmarkHungaryUnited States
In The Last Decade
Szabolcs Semsey
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 112
- Genetics 842
- Endocrinology 136
- Molecular Medicine 115
- Molecular Biology 1.3k
- Ecology 439
Countries citing papers authored by Szabolcs Semsey
This map shows the geographic impact of Szabolcs Semsey'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 Szabolcs Semsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Szabolcs Semsey more than expected).
Fields of papers citing papers by Szabolcs Semsey
This network shows the impact of papers produced by Szabolcs Semsey. 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 Szabolcs Semsey. The network helps show where Szabolcs Semsey may publish in the future.
Co-authors
The 25 scholars most cited alongside Szabolcs Semsey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 164 | |
| 2 | 2015 | 155 | |
| 3 | 2008 | 76 | |
| 4 | 2010 | 74 | |
| 5 | 2005 | 63 | |
| 6 | 2009 | 61 | |
| 7 | 2015 | 61 | |
| 8 | 2019 | 61 | |
| 9 | 2006 | 56 | |
| 10 | 2002 | 48 | |
| 11 | 2007 | 45 | |
| 12 | 2010 | 42 | |
| 13 | 2006 | 41 | |
| 14 | 2012 | 39 | |
| 15 | 2019 | 37 | |
| 16 | 2004 | 36 | |
| 17 | 2009 | 34 | |
| 18 | 2009 | 34 | |
| 19 | 2016 | 33 | |
| 20 | 2003 | 33 |
About Szabolcs Semsey
Szabolcs Semsey is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Biomedical Engineering, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (30 papers), RNA and protein synthesis mechanisms (18 papers), Gene Regulatory Network Analysis (18 papers), Bacteriophages and microbial interactions (12 papers), DNA and Nucleic Acid Chemistry (9 papers), Evolution and Genetic Dynamics (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Genetics (842 citations), Endocrinology (136 citations), Molecular Medicine (115 citations), Molecular Biology (1.3k citations) and Ecology (439 citations). Szabolcs Semsey has collaborated with scholars based in Denmark, Hungary and United States. Frequent co-authors include Sandeep Krishna, Kim Sneppen, Sankar Adhya, Alexander Harms, Éric Massé, Namiko Mitarai, Kenn Gerdes, Michael A. Sørensen, Poul Martin Bendix and Mogens H. Jensen. Their work appears in journals such as Scientific Reports, PLoS ONE, Nucleic Acids Research, mBio and Journal of Bacteriology.
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.