Jan Smida
Impact in
- Microbiology top 0.5%
- Actinomycetales infections and treatment
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
Papers in
-
- Genomics and Phylogenetic Studies 9
- Circular RNAs in diseases 5
- Genetics 18
- Virus-based gene therapy research 11
- Co-authors
- Erko Stackebrandt (12 shared papers)Matthew Collins (3 shared papers)T. Martin Embley (2 shared papers)Michaela Nathrath (16 shared papers)Daniel Baumhoer (15 shared papers)M. Dorsch (2 shared papers)Gernot Jundt (8 shared papers)Michael J. Atkinson (11 shared papers)
- Journals
- International Journal of Cancer (6 papers)Systematic and Applied Microbiology (3 papers)Oncotarget (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Jan Smida
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Microbiology 160
- Cancer Research 421
- Endocrinology 87
- Molecular Biology 1.1k
- Microbiology 83
Countries citing papers authored by Jan Smida
This map shows the geographic impact of Jan Smida'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 Jan Smida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Smida more than expected).
Fields of papers citing papers by Jan Smida
This network shows the impact of papers produced by Jan Smida. 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 Jan Smida. The network helps show where Jan Smida may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Smida, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 119 | |
| 2 | 1988 | 119 | |
| 3 | 1999 | 109 | |
| 4 | 1988 | 100 | |
| 5 | 1991 | 97 | |
| 6 | 1988 | 96 | |
| 7 | 2010 | 87 | |
| 8 | 2017 | 74 | |
| 9 | 1987 | 70 | |
| 10 | 1998 | 60 | |
| 11 | 2013 | 59 | |
| 12 | 2012 | 52 | |
| 13 | 2013 | 47 | |
| 14 | 2001 | 43 | |
| 15 | 2017 | 41 | |
| 16 | 1988 | 38 | |
| 17 | 2008 | 36 | |
| 18 | 2017 | 32 | |
| 19 | 1989 | 32 | |
| 20 | 2011 | 31 |
About Jan Smida
Jan Smida is a scholar working on Molecular Biology, Genetics, Cancer Research, Animal Science and Zoology and Oncology, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (14 papers), Virus-based gene therapy research (11 papers), Genomics and Phylogenetic Studies (9 papers), Cancer Genomics and Diagnostics (8 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (6 papers), Viral gastroenteritis research and epidemiology (6 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Microbiology (160 citations), Cancer Research (421 citations), Endocrinology (87 citations), Molecular Biology (1.1k citations) and Microbiology (83 citations). Jan Smida has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Erko Stackebrandt, Matthew Collins, T. Martin Embley, Michaela Nathrath, Daniel Baumhoer, M. Dorsch, Gernot Jundt, Michael J. Atkinson, Horst Zitzelsberger and Eberhard Korsching. Their work appears in journals such as International Journal of Cancer, Systematic and Applied Microbiology, Oncotarget, PLoS ONE and Scientific Reports.
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.