Tim Ripperger
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Genetics 13
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Blood disorders and treatments 4
- Genomic variations and chromosomal abnormalities 4
- Co-authors
- Brigitte Schlegelberger (26 shared papers)Dorothea Gadzicki (2 shared papers)Alfons Meindl (1 shared paper)Doris Steinemann (19 shared papers)Christian P. Kratz (12 shared papers)Ulrich Lehmann (4 shared papers)Thomas Illig (7 shared papers)H. Troger (1 shared paper)
- Journals
- European Journal of Human Genetics (3 papers)European Journal of Medical Genetics (3 papers)Leukemia (3 papers)Familial Cancer (3 papers)Blood (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Tim Ripperger
45 papers receiving 782 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 188
- Hematology 137
- Pathology and Forensic Medicine 194
- Genetics 224
- Genetics 67
Countries citing papers authored by Tim Ripperger
This map shows the geographic impact of Tim Ripperger'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 Tim Ripperger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Ripperger more than expected).
Fields of papers citing papers by Tim Ripperger
This network shows the impact of papers produced by Tim Ripperger. 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 Tim Ripperger. The network helps show where Tim Ripperger may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Ripperger, 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 | 2008 | 153 | |
| 2 | 2015 | 61 | |
| 3 | 2016 | 59 | |
| 4 | 2016 | 53 | |
| 5 | 2016 | 46 | |
| 6 | 2009 | 44 | |
| 7 | 2018 | 36 | |
| 8 | 2004 | 34 | |
| 9 | 2007 | 29 | |
| 10 | 2009 | 27 | |
| 11 | 2011 | 26 | |
| 12 | 2022 | 26 | |
| 13 | 2019 | 16 | |
| 14 | 2015 | 14 | |
| 15 | 2015 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Tim Ripperger
Tim Ripperger is a scholar working on Molecular Biology, Genetics, Hematology, Pathology and Forensic Medicine and Genetics, having authored 48 papers that have together received 799 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Genetic factors in colorectal cancer (9 papers), Cancer Genomics and Diagnostics (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Neuroblastoma Research and Treatments (5 papers), Blood disorders and treatments (4 papers), Cancer-related Molecular Pathways (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Cancer Research (188 citations), Hematology (137 citations), Pathology and Forensic Medicine (194 citations), Genetics (224 citations) and Genetics (67 citations). Tim Ripperger has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Brigitte Schlegelberger, Dorothea Gadzicki, Alfons Meindl, Doris Steinemann, Christian P. Kratz, Ulrich Lehmann, Thomas Illig, H. Troger, Jörg Schmidtke and Katharina Wimmer. Their work appears in journals such as European Journal of Human Genetics, European Journal of Medical Genetics, Leukemia, Familial Cancer and Blood.
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.