Jan Oppelt
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Equine top 10%
Papers in
-
- RNA modifications and cancer 5
- RNA Interference and Gene Delivery 3
- RNA regulation and disease 3
- Immunology 15
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 5
- Immune Response and Inflammation 4
- Immunotherapy and Immune Responses 3
- Co-authors
- Michal Slaný (1 shared paper)David Šmajs (10 shared papers)Zissimos P. Mourelatos (2 shared papers)Kateřina Amruz Černá (5 shared papers)Lenka Mikalová (5 shared papers)Petr Hořín (13 shared papers)Šárka Pospı́šilová (4 shared papers)Marek Mráz (4 shared papers)
- Journals
- HLA (7 papers)PLoS neglected tropical diseases (5 papers)Scientific Reports (3 papers)PLoS ONE (3 papers)EMBO Reports (2 papers)
- Partner nations
- CzechiaUnited StatesAustria
In The Last Decade
Jan Oppelt
46 papers receiving 612 citations
Peers
Comparison fields: 5 of 84
- Microbiology 71
- Equine 9
- Physiology 122
- Cancer Research 64
- Aging 8
Countries citing papers authored by Jan Oppelt
This map shows the geographic impact of Jan Oppelt'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 Oppelt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Oppelt more than expected).
Fields of papers citing papers by Jan Oppelt
This network shows the impact of papers produced by Jan Oppelt. 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 Oppelt. The network helps show where Jan Oppelt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Oppelt, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | 2018 | 46 | |
| 3 | 2016 | 42 | |
| 4 | 2019 | 34 | |
| 5 | 2017 | 32 | |
| 6 | 2021 | 30 | |
| 7 | 2017 | 27 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 22 | |
| 10 | 2018 | 19 | |
| 11 | 2021 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2018 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 13 | |
| 19 | 2019 | 11 | |
| 20 | 2019 | 11 |
About Jan Oppelt
Jan Oppelt is a scholar working on Molecular Biology, Immunology, Physiology, Genetics and Cancer Research, having authored 48 papers that have together received 619 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Syphilis Diagnosis and Treatment (8 papers), Immune Cell Function and Interaction (5 papers), RNA modifications and cancer (5 papers), Immune Response and Inflammation (4 papers), RNA Interference and Gene Delivery (3 papers), Immunotherapy and Immune Responses (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Microbiology (71 citations), Equine (9 citations), Physiology (122 citations), Cancer Research (64 citations) and Aging (8 citations). Jan Oppelt has collaborated with scholars based in Czechia, United States and Austria. Frequent co-authors include Michal Slaný, David Šmajs, Zissimos P. Mourelatos, Kateřina Amruz Černá, Lenka Mikalová, Petr Hořín, Šárka Pospı́šilová, Marek Mráz, Fadia Ibrahim and Manolis Maragkakis. Their work appears in journals such as HLA, PLoS neglected tropical diseases, Scientific Reports, PLoS ONE and EMBO 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.