Johann Urschitz
- Molecular Biology
- Genetics top 10%
- Pollution top 10%
- Obstetrics and Gynecology top 10%
- Surgery
- Co-authors
- Stefan MoisyadiZsolt UrbánCharles D. BoydJes StollbergJesse B. OwensIlko StoytchevZoia StoytchevaFuKun W. Hoffmann
- Topics
- CRISPR and Genetic Engineering (10 papers)Pregnancy and preeclampsia studies (9 papers)Virus-based gene therapy research (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Johann Urschitz
38 papers receiving 593 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 379
- Genetics 199
- Pollution 68
- Obstetrics and Gynecology 46
- Surgery 44
Countries citing papers authored by Johann Urschitz
This map shows the geographic impact of Johann Urschitz'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 Johann Urschitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johann Urschitz more than expected).
Fields of papers citing papers by Johann Urschitz
This network shows the impact of papers produced by Johann Urschitz. 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 Johann Urschitz. The network helps show where Johann Urschitz may publish in the future.
Co-authorship network of co-authors of Johann Urschitz
This figure shows the co-authorship network connecting the top 25 collaborators of Johann Urschitz. A scholar is included among the top collaborators of Johann Urschitz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johann Urschitz. Johann Urschitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 27 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 25 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | A polymorphism in the retinol binding protein 4 gene is not associated with gestational diabetes mellitus in several different ethnic groups. | 8 |
| 18 | 17 | |
| 19 | 17 | |
| 20 | 65 |
About Johann Urschitz
Johann Urschitz is a scholar working on Obstetrics and Gynecology, Genetics and Pollution, having authored 40 papers that have together received 601 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Pregnancy and preeclampsia studies (9 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Genetics (199 citations), Pollution (68 citations) and Obstetrics and Gynecology (46 citations). Johann Urschitz has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Stefan Moisyadi, Zsolt Urbán, Charles D. Boyd, Jes Stollberg, Jesse B. Owens, Ilko Stoytchev, Zoia Stoytcheva, FuKun W. Hoffmann, Peter R. Hoffmann and Paweł Pelczar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.