Catarina D. Campbell
- Genetics top 5%
- Genomic variations and chromosomal abnormalities 3
- Genomics and Rare Diseases 2
- Genetic Associations and Epidemiology 2
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 5
- Hematology top 5%
- Acute Myeloid Leukemia Research 3
- Genetics top 10%
- Genomic variations and chromosomal abnormalities 3
- Genomics and Rare Diseases 2
- Genetic Associations and Epidemiology 2
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- Molecular Biology Techniques and Applications 3
- Melanoma and MAPK Pathways 3
- DNA Repair Mechanisms 2
- Co-authors
- Evan E. EichlerLeif GroopHelen N. LyonJoel N. HirschhornKristin ArdlieMatthew L. FreedmanDavid AltshulerKathryn L. Lunetta
- Cited by
- GeneticsCancer ResearchHematology
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Catarina D. Campbell
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Genetics 561
- Cancer Research 220
- Hematology 157
- Genetics 131
- Molecular Biology 534
Countries citing papers authored by Catarina D. Campbell
This map shows the geographic impact of Catarina D. Campbell'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 Catarina D. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catarina D. Campbell more than expected).
Fields of papers citing papers by Catarina D. Campbell
This network shows the impact of papers produced by Catarina D. Campbell. 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 Catarina D. Campbell. The network helps show where Catarina D. Campbell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Catarina D. Campbell, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 23 | |
| 6 | 2022 | 0 | |
| 7 | TET2-Driven Clonal Hematopoiesis and Response to Canakinumabbreakdown → | 2022 | 218 |
| 8 | 2020 | 85 | |
| 9 | 2019 | 1 | |
| 10 | Abstract 15111: TET2-Driven Clonal Hematopoiesis Predicts Enhanced Response to Canakinumab in the CANTOS Trial: An Exploratory Analysis | 2018 | 32 |
| 11 | 2018 | 1 | |
| 12 | 2016 | 20 | |
| 13 | 2016 | 73 | |
| 14 | 2013 | 146 | |
| 15 | 2012 | 140 | |
| 16 | 2011 | 64 | |
| 17 | 2007 | 40 | |
| 18 | 2005 | 320 | |
| 19 | 2003 | 23 | |
| 20 | 2002 | 36 |
About Catarina D. Campbell
Catarina D. Campbell is a scholar working on Cancer Research, Hematology and Genetics, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Acute Myeloid Leukemia Research (3 papers), Molecular Biology Techniques and Applications (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Melanoma and MAPK Pathways (3 papers), Genomics and Rare Diseases (2 papers), Genetic Associations and Epidemiology (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Genetics (561 citations), Cancer Research (220 citations) and Hematology (157 citations). Catarina D. Campbell has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Evan E. Eichler, Leif Groop, Helen N. Lyon, Joel N. Hirschhorn, Kristin Ardlie, Matthew L. Freedman, David Altshuler, Kathryn L. Lunetta, Elizabeth L. Ogburn and Yunsheng He. Their work appears in journals such as Circulation, Nature Genetics 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.