Sven Wach
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- Epigenetics and DNA Methylation 9
-
- MicroRNA in disease regulation 24
- Cancer Genomics and Diagnostics 11
- Cancer-related molecular mechanisms research 10
- Co-authors
- Bernd Wullich (92 shared papers)Arndt Hartmann (67 shared papers)Helge Täubert (87 shared papers)Elke Nolte (26 shared papers)Bastian Keck (30 shared papers)Friedrich A. Grässer (9 shared papers)Jaroslaw Szczyrba (8 shared papers)Robert Stöhr (22 shared papers)
- Journals
- Cancers (8 papers)Scientific Reports (7 papers)Cancer Research (7 papers)International Journal of Cancer (7 papers)Oncotarget (6 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Sven Wach
113 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 947
- Molecular Biology 1.1k
- Oncology 362
- Pulmonary and Respiratory Medicine 374
- Surgery 483
Countries citing papers authored by Sven Wach
This map shows the geographic impact of Sven Wach'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 Sven Wach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Wach more than expected).
Fields of papers citing papers by Sven Wach
This network shows the impact of papers produced by Sven Wach. 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 Sven Wach. The network helps show where Sven Wach may publish in the future.
Co-authors
The 25 scholars most cited alongside Sven Wach, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 193 | |
| 2 | 2011 | 142 | |
| 3 | 2011 | 97 | |
| 4 | 2010 | 81 | |
| 5 | 2013 | 74 | |
| 6 | 2015 | 65 | |
| 7 | 2016 | 64 | |
| 8 | 2012 | 59 | |
| 9 | 2013 | 57 | |
| 10 | 2013 | 56 | |
| 11 | 2015 | 56 | |
| 12 | 2016 | 51 | |
| 13 | 2013 | 48 | |
| 14 | 2016 | 46 | |
| 15 | 2011 | 45 | |
| 16 | 2015 | 45 | |
| 17 | 2017 | 41 | |
| 18 | 2010 | 35 | |
| 19 | 2022 | 35 | |
| 20 | 2014 | 34 |
About Sven Wach
Sven Wach is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 117 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (34 papers), MicroRNA in disease regulation (24 papers), Prostate Cancer Treatment and Research (14 papers), Cancer Genomics and Diagnostics (11 papers), Cancer-related molecular mechanisms research (10 papers), Urinary and Genital Oncology Studies (10 papers), Epigenetics and DNA Methylation (9 papers) and Prostate Cancer Diagnosis and Treatment (9 papers). The work is most often cited by research in Cancer Research (947 citations), Molecular Biology (1.1k citations), Oncology (362 citations), Pulmonary and Respiratory Medicine (374 citations) and Surgery (483 citations). Sven Wach has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Bernd Wullich, Arndt Hartmann, Helge Täubert, Elke Nolte, Bastian Keck, Friedrich A. Grässer, Jaroslaw Szczyrba, Robert Stöhr, Wolf F. Wieland and Robert Stoehr. Their work appears in journals such as Cancers, Scientific Reports, Cancer Research, International Journal of Cancer and Oncotarget.
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.