Sascha Ott
Impact in
- Reproductive Medicine top 2%
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
Papers in
-
- Genomics and Chromatin Dynamics 9
- Bioinformatics and Genomic Networks 9
- Genomics and Phylogenetic Studies 8
- Gene expression and cancer classification 8
- RNA and protein synthesis mechanisms 7
- Immunology 17
- Reproductive System and Pregnancy 11
- Co-authors
- Emma S. Lucas (10 shared papers)Nigel Dyer (12 shared papers)Jan J. Brosens (10 shared papers)Satoru Miyano (7 shared papers)Pierre Cauchy (6 shared papers)Peter N. Cockerill (6 shared papers)Joanne Muter (8 shared papers)Constanze Bonifer (5 shared papers)
- Journals
- Bioinformatics (5 papers)Cell Reports (4 papers)The Plant Cell (3 papers)PLoS ONE (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Sascha Ott
68 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 130
- Reproductive Medicine 430
- Obstetrics and Gynecology 341
- Immunology 845
- Plant Science 835
- Molecular Biology 1.4k
Countries citing papers authored by Sascha Ott
This map shows the geographic impact of Sascha Ott'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 Sascha Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha Ott more than expected).
Fields of papers citing papers by Sascha Ott
This network shows the impact of papers produced by Sascha Ott. 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 Sascha Ott. The network helps show where Sascha Ott may publish in the future.
Co-authors
The 25 scholars most cited alongside Sascha Ott, 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 | 2017 | 214 | |
| 2 | 2020 | 185 | |
| 3 | 2013 | 168 | |
| 4 | 2015 | 154 | |
| 5 | 2013 | 132 | |
| 6 | 2019 | 128 | |
| 7 | 2013 | 127 | |
| 8 | 2018 | 122 | |
| 9 | 2017 | 104 | |
| 10 | 2014 | 86 | |
| 11 | 2003 | 83 | |
| 12 | 2016 | 81 | |
| 13 | 2018 | 65 | |
| 14 | 2018 | 64 | |
| 15 | 2016 | 59 | |
| 16 | 2020 | 57 | |
| 17 | 2013 | 57 | |
| 18 | 2017 | 55 | |
| 19 | 2017 | 53 | |
| 20 | 2012 | 53 |
About Sascha Ott
Sascha Ott is a scholar working on Molecular Biology, Immunology, Plant Science, Reproductive Medicine and Surgery, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (11 papers), Endometriosis Research and Treatment (10 papers), Genomics and Chromatin Dynamics (9 papers), Bioinformatics and Genomic Networks (9 papers), Plant Molecular Biology Research (8 papers), Genomics and Phylogenetic Studies (8 papers), Gene expression and cancer classification (8 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Reproductive Medicine (430 citations), Obstetrics and Gynecology (341 citations), Immunology (845 citations), Plant Science (835 citations) and Molecular Biology (1.4k citations). Sascha Ott has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Emma S. Lucas, Nigel Dyer, Jan J. Brosens, Satoru Miyano, Pierre Cauchy, Peter N. Cockerill, Joanne Muter, Constanze Bonifer, Jason Piper and Siobhan Quenby. Their work appears in journals such as Bioinformatics, Cell Reports, The Plant Cell, PLoS ONE and The Journal of Immunology.
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.