Frank Rösel
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
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- Cancer Cells and Metastasis
- Peptidase Inhibition and Analysis
Papers in
-
- Protease and Inhibitor Mechanisms 4
- NF-κB Signaling Pathways 1
- Oncology 4
- Peptidase Inhibition and Analysis 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Nicolaì Maass (8 shared papers)Koichi Nagasaki (6 shared papers)W. Jonat (8 shared papers)Christian Schem (4 shared papers)Tadashi Ikeda (1 shared paper)Takashi Hojo (1 shared paper)Pierre Rudolph (2 shared papers)Constantin von Kaisenberg (1 shared paper)
- Journals
- Cancer Letters (2 papers)The Journal of Pathology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Clinical Biochemistry (1 paper)Neurological Research (1 paper)
- Partner nations
- GermanySwitzerlandJapan
In The Last Decade
Frank Rösel
12 papers receiving 436 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 174
- Oncology 109
- Immunology and Allergy 24
- Molecular Biology 203
- Rheumatology 35
Countries citing papers authored by Frank Rösel
This map shows the geographic impact of Frank Rösel'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 Frank Rösel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Rösel more than expected).
Fields of papers citing papers by Frank Rösel
This network shows the impact of papers produced by Frank Rösel. 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 Frank Rösel. The network helps show where Frank Rösel may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Rösel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 102 | |
| 2 | 2001 | 101 | |
| 3 | 2003 | 67 | |
| 4 | 2002 | 57 | |
| 5 | 2006 | 32 | |
| 6 | 2012 | 23 | |
| 7 | 2002 | 20 | |
| 8 | Normal mammary fibroblasts induce reversion of the malignant phenotype in human primary breast cancer. | 2013 | 19 |
| 9 | 2013 | 6 | |
| 10 | 2001 | 6 | |
| 11 | Digital image analysis in cytological diagnosis: a morphometric analysis on pleural mesotheliomas. | 1989 | 6 |
| 12 | The significance of morphometric methods in cytologic diagnostics: differentiation between mesothelial cells, mesothelioma cells and metastatic adenocarcinoma cells in pleural effusions with special emphasis on chromatin texture. | 1991 | 3 |
About Frank Rösel
Frank Rösel is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 442 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Peptidase Inhibition and Analysis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), NF-κB Signaling Pathways (1 paper), Protein Hydrolysis and Bioactive Peptides (1 paper), Genomics and Chromatin Dynamics (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cancer Research (174 citations), Oncology (109 citations), Immunology and Allergy (24 citations), Molecular Biology (203 citations) and Rheumatology (35 citations). Frank Rösel has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Nicolaì Maass, Koichi Nagasaki, W. Jonat, Christian Schem, Tadashi Ikeda, Takashi Hojo, Pierre Rudolph, Constantin von Kaisenberg, Ming Zhang and Nobuyuki Ohike. Their work appears in journals such as Cancer Letters, The Journal of Pathology, Biochemical and Biophysical Research Communications, Clinical Biochemistry and Neurological Research.
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.