Maria Isabel Achatz

6.1k total citations · 2 hit papers
115 papers, 3.2k citations indexed

About

Maria Isabel Achatz is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Maria Isabel Achatz has authored 115 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Oncology, 52 papers in Molecular Biology and 46 papers in Cancer Research. Recurrent topics in Maria Isabel Achatz's work include Cancer-related Molecular Pathways (53 papers), Cancer Genomics and Diagnostics (37 papers) and Genetic factors in colorectal cancer (24 papers). Maria Isabel Achatz is often cited by papers focused on Cancer-related Molecular Pathways (53 papers), Cancer Genomics and Diagnostics (37 papers) and Genetic factors in colorectal cancer (24 papers). Maria Isabel Achatz collaborates with scholars based in Brazil, United States and France. Maria Isabel Achatz's co-authors include Pierre Hainaut, Magali Olivier, Audrey Petitjean, A.L. Børresen-Dale, Patrícia Ashton‐Prolla, Edenir Inêz Palmero, Amina Amadou, Laurence Brugières, Ghyslaine Martel‐Planche and Dirce Maria Carraro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Maria Isabel Achatz

110 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes

2007 689 citations Maria Isabel Achatz, Pierre Hainaut et al. profile →
Germline Testing in Patients With Breast Cancer: ASCO–Society of Surgical Oncology Guideline

2024 67 citations Maria Isabel Achatz et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maria Isabel Achatz Brazil	26	1.6k	1.6k	1.1k	887	559	115	3.2k
W. Michael Korn United States	32	1.2k 0.8×	2.1k 1.3×	906 0.9×	590 0.7×	654 1.2×	197	3.4k
Rebecca Leary United States	11	2.0k 1.2×	1.7k 1.1×	2.6k 2.4×	367 0.4×	467 0.8×	18	4.0k
Fujio Kasumi Japan	30	1.4k 0.9×	1.4k 0.9×	1.3k 1.2×	790 0.9×	962 1.7×	122	3.4k
J R C Sainsbury United Kingdom	24	1.1k 0.7×	2.4k 1.5×	911 0.9×	596 0.7×	331 0.6×	49	3.5k
Goi Sakamoto Japan	33	1.4k 0.9×	2.0k 1.3×	1.7k 1.6×	951 1.1×	1.4k 2.4×	165	4.1k
Ian Tomlinson United Kingdom	30	1.4k 0.9×	1.2k 0.7×	918 0.9×	502 0.6×	1.6k 2.9×	48	3.2k
Manoj Gandhi United States	21	1.2k 0.8×	1.2k 0.8×	323 0.3×	671 0.8×	602 1.1×	32	3.4k
José A. Martínez-Climent Spain	39	1.9k 1.2×	1.3k 0.8×	784 0.7×	354 0.4×	1.0k 1.9×	135	4.5k
Pierre O. Chappuis Switzerland	31	1.3k 0.8×	1.7k 1.1×	1.5k 1.4×	1.4k 1.6×	702 1.3×	107	3.6k
Tomas Kirchhoff United States	26	1.4k 0.9×	990 0.6×	594 0.6×	948 1.1×	458 0.8×	79	2.7k

Countries citing papers authored by Maria Isabel Achatz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Maria Isabel Achatz

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Isabel Achatz. A scholar is included among the top collaborators of Maria Isabel Achatz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria Isabel Achatz. Maria Isabel Achatz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rednam, Surya P., Junne Kamihara, Garrett M. Brodeur, et al.. (2025). Update on Tumor Surveillance for Children with Hereditary Pheochromocytoma/Paraganglioma Syndromes. Clinical Cancer Research. 31(16). 3368–3376. 1 indexed citations

Rednam, Surya P., Anita Villani, Garrett M. Brodeur, et al.. (2025). Update on Surveillance in Von Hippel–Lindau Disease. Clinical Cancer Research. 31(12). 2271–2277. 1 indexed citations

Sandoval, Renata Lazari, Michele Bottosso, Tianyu Li, et al.. (2024). TP53-associated early breast cancer: new observations from a large cohort. JNCI Journal of the National Cancer Institute. 116(8). 1246–1254. 6 indexed citations

Nakano, Yoshiko, Roland P. Kuiper, Kim E. Nichols, et al.. (2024). Update on Recommendations for Cancer Screening and Surveillance in Children with Genomic Instability Disorders. Clinical Cancer Research. 30(22). 5009–5020. 8 indexed citations

Villacis, Rolando André Rios, Luísa Matos do Canto, Mads Malik Aagaard, et al.. (2024). Germline DNA Damage Repair Gene Alterations in Patients with Metachronous Breast and Colorectal Cancer. International Journal of Molecular Sciences. 25(19). 10275–10275. 1 indexed citations

Asprino, Paula Fontes, Pedro A. F. Galante, Denis L. Jardim, et al.. (2023). The Clinical and Molecular Profile of Lung Cancer Patients Harboring the TP53 R337H Germline Variant in a Brazilian Cancer Center: The Possible Mechanism of Carcinogenesis. International Journal of Molecular Sciences. 24(20). 15035–15035. 3 indexed citations

Sandoval, Renata Lazari, Cibele Masotti, Mariana Petaccia de Macêdo, et al.. (2021). Identification of theTP53p.R337H Variant in Tumor Genomic Profiling Should Prompt Consideration of Germline Testing for Li-Fraumeni Syndrome. JCO Global Oncology. 7(7). 1141–1150. 9 indexed citations

Fortuño, Cristina, Jessica L. Mester, Tina Pesaran, et al.. (2020). Suggested application of HER2+ breast tumor phenotype for germline TP53 variant classification within ACMG/AMP guidelines. Human Mutation. 41(9). 1555–1562. 14 indexed citations

Pinheiro, Maísa, Karina Miranda Santiago, Sandra A. Drigo, et al.. (2020). Germline Mutation in MUS81 Resulting in Impaired Protein Stability is Associated with Familial Breast and Thyroid Cancer. Cancers. 12(5). 1289–1289. 4 indexed citations

10.

Santiago, Karina Miranda, João Pedreira Duprat Neto, Patrícia Ashton‐Prolla, et al.. (2020). Comprehensive germline mutation analysis and clinical profile in a large cohort of Brazilian xeroderma pigmentosum patients. Journal of the European Academy of Dermatology and Venereology. 34(10). 2392–2401. 15 indexed citations

11.

Park, Jihoon, Jie Li, Matthew F. Starost, et al.. (2018). Mouse Homolog of the Human TP53 R337H Mutation Reveals Its Role in Tumorigenesis. Cancer Research. 78(18). 5375–5383. 20 indexed citations

12.

Andrade, Kelvin C. de, Megan N. Frone, Talía Wegman-Ostrosky, et al.. (2018). Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis. Human Mutation. 40(1). 97–105. 62 indexed citations

13.

Andrade, Kelvin C. de, Douglas R. Stewart, Eric Karlins, et al.. (2017). Higher-than-expected population prevalence of potentially pathogenic germlineTP53variants in individuals unselected for cancer history. Human Mutation. 38(12). 1723–1730. 36 indexed citations

14.

Macedo, Gabriel S., Bárbara Alemar, Juliana Giacomazzi, et al.. (2017). p53 signaling pathway polymorphisms, cancer risk and tumor phenotype in TP53 R337H mutation carriers. Familial Cancer. 17(2). 269–274. 12 indexed citations

15.

Paskulin, Diego D’Ávila, Juliana Giacomazzi, Maria Isabel Achatz, et al.. (2015). Ancestry of the Brazilian TP53 c.1010G>A (p.Arg337His, R337H) Founder Mutation: Clues from Haplotyping of Short Tandem Repeats on Chromosome 17p. PLoS ONE. 10(11). e0143262–e0143262. 16 indexed citations

16.

Avila, Alexandre, Ana Cristina Victorino Krepischi, Felipe Cavalcanti Carneiro da Silva, et al.. (2014). Germline CDKN2A mutations in Brazilian patients of hereditary cutaneous melanoma. Familial Cancer. 13(4). 645–649. 15 indexed citations

17.

Sagné, Corinne, Virginie Marcel, Maria Bota, et al.. (2013). Age at cancer onset in germline TP53 mutation carriers: association with polymorphisms in predicted G-quadruplex structures. Carcinogenesis. 35(4). 807–815. 30 indexed citations

18.

Carraro, Dirce Maria, Maria Aparecida Azevedo Koike Folgueira, Bianca Cristina Garcia Lisbôa, et al.. (2013). Comprehensive Analysis of BRCA1, BRCA2 and TP53 Germline Mutation and Tumor Characterization: A Portrait of Early-Onset Breast Cancer in Brazil. PLoS ONE. 8(3). e57581–e57581. 66 indexed citations

19.

Masciari, Serena, Akriti Dewanwala, Elena M. Stoffel, et al.. (2011). Gastric cancer in individuals with Li-Fraumeni syndrome. Genetics in Medicine. 13(7). 651–657. 97 indexed citations

20.

Palmero, Edenir Inêz, Maria Isabel Achatz, Patrícia Ashton‐Prolla, Magali Olivier, & Pierre Hainaut. (2009). Tumor protein 53 mutations and inherited cancer: beyond Li-Fraumeni syndrome. Current Opinion in Oncology. 22(1). 64–69. 64 indexed citations

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.

Explore authors with similar magnitude of impact