Kim Pedersen
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Treatment and Pharmacology
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- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Cell Adhesion Molecules Research 5
- Oncology 9
- HER2/EGFR in Cancer Research 7
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Joaquin Arribas (12 shared papers)Josep Lluís Parra-Palau (7 shared papers)José Baselga (5 shared papers)Maurizio Scaltriti (4 shared papers)José Baselga (2 shared papers)Santiago Ramón y Cajal (3 shared papers)Stefania Landolfi (1 shared paper)Chandra Shekhar Verma (1 shared paper)
- Journals
- Cancer Research (5 papers)Oncogene (3 papers)Journal of Biological Chemistry (1 paper)Molecular and Cellular Biology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Kim Pedersen
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Oncology 789
- Radiology, Nuclear Medicine and Imaging 407
- Immunology and Allergy 67
- Cancer Research 134
- Genetics 90
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 | 376 | |
| 2 | 2011 | 193 | |
| 3 | 2009 | 154 | |
| 4 | 2015 | 97 | |
| 5 | 2013 | 87 | |
| 6 | 2010 | 49 | |
| 7 | 2014 | 48 | |
| 8 | 2009 | 28 | |
| 9 | 2021 | 20 | |
| 10 | 2017 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2013 | 16 | |
| 13 | 2010 | 12 | |
| 14 | 2018 | 1 |
About Kim Pedersen
Kim Pedersen is a scholar working on Immunology and Allergy, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), HER2/EGFR in Cancer Research (7 papers), Cell Adhesion Molecules Research (5 papers), Advanced Biosensing Techniques and Applications (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer Mechanisms and Therapy (1 paper), Cancer Genomics and Diagnostics (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Oncology (789 citations), Radiology, Nuclear Medicine and Imaging (407 citations), Immunology and Allergy (67 citations), Cancer Research (134 citations) and Genetics (90 citations). Kim Pedersen has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Joaquin Arribas, Josep Lluís Parra-Palau, José Baselga, Maurizio Scaltriti, José Baselga, Santiago Ramón y Cajal, Stefania Landolfi, Chandra Shekhar Verma, José Jimenez and Marta Guzmán. Their work appears in journals such as Cancer Research, Oncogene, Journal of Biological Chemistry, Molecular and Cellular Biology and Clinical Cancer 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.