Torsten Kroll
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Gene expression and cancer classification 4
- RNA Research and Splicing 3
- Single-cell and spatial transcriptomics 3
- Oncology 8
- Cancer Cells and Metastasis 5
- HER2/EGFR in Cancer Research 3
- Co-authors
- Katharina Pachmann (5 shared papers)Ingo B. Runnebaum (3 shared papers)Oumar Camara (4 shared papers)K. Höffken (4 shared papers)Mieczysław Gajda (2 shared papers)Ulrich Pachmann (2 shared papers)C. Rabenstein (2 shared papers)Stefan Wölfl (8 shared papers)
- Journals
- Journal of Cancer Research and Clinical Oncology (5 papers)Planta Medica (2 papers)Nucleic Acids Research (2 papers)Cancer Research (2 papers)Biology Open (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Torsten Kroll
27 papers receiving 693 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 226
- Oncology 324
- Molecular Biology 301
- Cell Biology 71
- Pulmonary and Respiratory Medicine 107
Countries citing papers authored by Torsten Kroll
This map shows the geographic impact of Torsten Kroll'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 Torsten Kroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Kroll more than expected).
Fields of papers citing papers by Torsten Kroll
This network shows the impact of papers produced by Torsten Kroll. 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 Torsten Kroll. The network helps show where Torsten Kroll may publish in the future.
Co-authors
The 25 scholars most cited alongside Torsten Kroll, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 221 | |
| 2 | 2002 | 49 | |
| 3 | 2007 | 47 | |
| 4 | 2017 | 43 | |
| 5 | 2010 | 39 | |
| 6 | 2009 | 30 | |
| 7 | 2011 | 30 | |
| 8 | 2016 | 28 | |
| 9 | 2017 | 28 | |
| 10 | 2007 | 24 | |
| 11 | 2015 | 21 | |
| 12 | 2010 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2017 | 18 | |
| 15 | 2002 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2008 | 14 | |
| 18 | 2018 | 10 | |
| 19 | 2008 | 9 | |
| 20 | 2009 | 7 |
About Torsten Kroll
Torsten Kroll is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Biophysics, having authored 29 papers that have together received 717 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Gene expression and cancer classification (4 papers), Cell Image Analysis Techniques (3 papers), HER2/EGFR in Cancer Research (3 papers), RNA Research and Splicing (3 papers), Microtubule and mitosis dynamics (3 papers), Cancer Genomics and Diagnostics (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Cancer Research (226 citations), Oncology (324 citations), Molecular Biology (301 citations), Cell Biology (71 citations) and Pulmonary and Respiratory Medicine (107 citations). Torsten Kroll has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Katharina Pachmann, Ingo B. Runnebaum, Oumar Camara, K. Höffken, Mieczysław Gajda, Ulrich Pachmann, C. Rabenstein, Stefan Wölfl, A. Altendorf-Hofmann and Cornelia Jörke. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Planta Medica, Nucleic Acids Research, Cancer Research and Biology Open.
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.