Dan Ribom
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
Papers in
- Genetics 10
- Glioma Diagnosis and Treatment 10
-
- Genomics and Chromatin Dynamics 1
- Pluripotent Stem Cells Research 1
- Co-authors
- Anja Smits (13 shared papers)Henry Engler (3 shared papers)Magdalena Hartman‐Petrycka (2 shared papers)B. L�ngstr�m (1 shared paper)Anna Nilsson (1 shared paper)Hans Bolander (1 shared paper)Shala Ghaderi Berntsson (2 shared papers)Eva Westerberg (1 shared paper)
In The Last Decade
Dan Ribom
14 papers receiving 404 citations
Peers
Comparison fields: 5 of 47
- Genetics 246
- Radiology, Nuclear Medicine and Imaging 124
- Cancer Research 64
- Biochemistry 21
- Neurology 30
Countries citing papers authored by Dan Ribom
This map shows the geographic impact of Dan Ribom'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 Dan Ribom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ribom more than expected).
Fields of papers citing papers by Dan Ribom
This network shows the impact of papers produced by Dan Ribom. 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 Dan Ribom. The network helps show where Dan Ribom may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Ribom, 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 | 136 | |
| 2 | 2013 | 42 | |
| 3 | 2009 | 39 | |
| 4 | 2011 | 38 | |
| 5 | 2007 | 34 | |
| 6 | 2002 | 28 | |
| 7 | 2005 | 22 | |
| 8 | 2003 | 19 | |
| 9 | 2002 | 19 | |
| 10 | 2005 | 17 | |
| 11 | 2003 | 14 | |
| 12 | 2003 | 3 | |
| 13 | [Risk of increased malignancy a reason for follow-up of low malignancy grade glioma. Early identification of high-risk patients is the key to good care]. | 2000 | 1 |
| 14 | [MET-PET in low-grade glioma. Safe way to follow disease progression and treatment]. | 2007 | 1 |
About Dan Ribom
Dan Ribom is a scholar working on Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 413 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Medical Imaging Techniques and Applications (2 papers), Genomics and Chromatin Dynamics (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Cancer Cells and Metastasis (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Genetics (246 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Cancer Research (64 citations), Biochemistry (21 citations) and Neurology (30 citations). Dan Ribom has collaborated with scholars based in Sweden, Germany and China. Frequent co-authors include Anja Smits, Henry Engler, Magdalena Hartman‐Petrycka, B. L�ngstr�m, Anna Nilsson, Hans Bolander, Shala Ghaderi Berntsson, Eva Westerberg, Torsten Danfors and Erik Blomquist. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Cancer Research and Clinical Oncology, European Journal of Neurology, International Journal of Cancer and British Journal of Cancer.
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.