Maria Isabel Achatz
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 37
- Oncology top 2%
- Cancer-related Molecular Pathways 53
- Genetics top 2%
- BRCA gene mutations in cancer 19
- Genomic variations and chromosomal abnormalities 18
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- Genetic factors in colorectal cancer 24
- Molecular Biology top 5%
- Hedgehog Signaling Pathway Studies 19
- Epigenetics and DNA Methylation 16
- DNA Repair Mechanisms 12
- Co-authors
- Pierre HainautMagali OlivierA.L. Børresen-DaleAudrey PetitjeanPatrícia Ashton‐ProllaEdenir Inêz PalmeroAmina AmadouLaurence Brugières
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (8 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- BrazilUnited StatesFrance
In The Last Decade
Maria Isabel Achatz
110 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 1.1k
- Oncology 1.6k
- Genetics 887
- Pathology and Forensic Medicine 559
- Molecular Biology 1.6k
Countries citing papers authored by Maria Isabel Achatz
This map shows the geographic impact of Maria Isabel Achatz'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 Maria Isabel Achatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Isabel Achatz more than expected).
Fields of papers citing papers by Maria Isabel Achatz
This network shows the impact of papers produced by Maria Isabel Achatz. 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 Maria Isabel Achatz. The network helps show where Maria Isabel Achatz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Isabel Achatz, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 15 | |
| 10 | 2018 | 20 | |
| 11 | 2018 | 62 | |
| 12 | 2017 | 36 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 53 | |
| 15 | 2015 | 16 | |
| 16 | 2014 | 15 | |
| 17 | 2013 | 30 | |
| 18 | 2012 | 67 | |
| 19 | 2011 | 97 | |
| 20 | 2009 | 64 |
About Maria Isabel Achatz
Maria Isabel Achatz is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 115 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (53 papers), Cancer Genomics and Diagnostics (37 papers), Genetic factors in colorectal cancer (24 papers), BRCA gene mutations in cancer (19 papers), Hedgehog Signaling Pathway Studies (19 papers), Genomic variations and chromosomal abnormalities (18 papers), Epigenetics and DNA Methylation (16 papers) and DNA Repair Mechanisms (12 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.6k citations) and Genetics (887 citations). Maria Isabel Achatz has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Pierre Hainaut, Magali Olivier, A.L. Børresen-Dale, Audrey Petitjean, Patrícia Ashton‐Prolla, Edenir Inêz Palmero, Amina Amadou, Laurence Brugières, Ghyslaine Martel‐Planche and Dirce Maria Carraro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.