Kim Pedersen
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 10
- HER2/EGFR in Cancer Research 8
- Pancreatic and Hepatic Oncology Research 2
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Joaquı́n Arribas (12 shared papers)Josep Lluís Parra-Palau (7 shared papers)José Baselga (5 shared papers)Maurizio Scaltriti (5 shared papers)Santiago Ramón y Cajal (4 shared papers)José Baselga (3 shared papers)Chandra Verma (2 shared papers)Josep-Lluís Parra (1 shared paper)
- Journals
- Cancer Research (5 papers)Oncogene (3 papers)Clinical Cancer Research (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- SpainPalestinian TerritoryUnited States
In The Last Decade
Kim Pedersen
14 papers receiving 971 citations
Peers
Comparison fields: 5 of 68
- Oncology 761
- Radiology, Nuclear Medicine and Imaging 449
- Immunology and Allergy 76
- Cancer Research 139
- Genetics 96
Countries citing papers authored by Kim Pedersen
This map shows the geographic impact of Kim Pedersen'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 Kim Pedersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Pedersen more than expected).
Fields of papers citing papers by Kim Pedersen
This network shows the impact of papers produced by Kim Pedersen. 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 Kim Pedersen. The network helps show where Kim Pedersen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim Pedersen, 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 | 2008 | 342 | |
| 2 | 2011 | 171 | |
| 3 | 2009 | 137 | |
| 4 | 2015 | 92 | |
| 5 | 2013 | 77 | |
| 6 | 2010 | 45 | |
| 7 | 2014 | 42 | |
| 8 | 2009 | 27 | |
| 9 | 2017 | 18 | |
| 10 | 2021 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2010 | 12 | |
| 13 | 2018 | 1 | |
| 14 | 2008 | 1 |
About Kim Pedersen
Kim Pedersen is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Allergy and Genetics, having authored 14 papers that have together received 992 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), HER2/EGFR in Cancer Research (8 papers), Cell Adhesion Molecules Research (5 papers), Pancreatic and Hepatic Oncology Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Inflammatory mediators and NSAID effects (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Oncology (761 citations), Radiology, Nuclear Medicine and Imaging (449 citations), Immunology and Allergy (76 citations), Cancer Research (139 citations) and Genetics (96 citations). Kim Pedersen has collaborated with scholars based in Spain, Palestinian Territory and United States. Frequent co-authors include Joaquı́n Arribas, Josep Lluís Parra-Palau, José Baselga, Maurizio Scaltriti, Santiago Ramón y Cajal, José Baselga, Chandra Verma, Josep-Lluís Parra, José Jiménez and Stefania Landolfi. Their work appears in journals such as Cancer Research, Oncogene, Clinical Cancer Research, JNCI Journal of the National Cancer Institute and Journal of Clinical Oncology.
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.