Heli Nevanlinna

50.3k total citations
124 papers, 5.2k citations indexed

About

Heli Nevanlinna is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Heli Nevanlinna has authored 124 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Genetics, 73 papers in Molecular Biology and 34 papers in Cancer Research. Recurrent topics in Heli Nevanlinna's work include BRCA gene mutations in cancer (65 papers), DNA Repair Mechanisms (36 papers) and Genetic factors in colorectal cancer (27 papers). Heli Nevanlinna is often cited by papers focused on BRCA gene mutations in cancer (65 papers), DNA Repair Mechanisms (36 papers) and Genetic factors in colorectal cancer (27 papers). Heli Nevanlinna collaborates with scholars based in Finland, Sweden and United States. Heli Nevanlinna's co-authors include Carl Blomqvist, Kristiina Aittomäki, Päivi Heikkilä, Jiří Bártek, Hannaleena Eerola, Anitta Tamminen, Pia Vahteristo, Jiřina Bártková, Johanna Tommiska and Kirsimari Aaltonen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Heli Nevanlinna

123 papers receiving 5.0k citations

Peers

Heli Nevanlinna
Edward A. Fox United States
Heli Nevanlinna
Citations per year, relative to Heli Nevanlinna Heli Nevanlinna (= 1×) peers Edward A. Fox

Countries citing papers authored by Heli Nevanlinna

Since Specialization
Citations

This map shows the geographic impact of Heli Nevanlinna'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 Heli Nevanlinna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heli Nevanlinna more than expected).

Fields of papers citing papers by Heli Nevanlinna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heli Nevanlinna. 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 Heli Nevanlinna. The network helps show where Heli Nevanlinna may publish in the future.

Co-authorship network of co-authors of Heli Nevanlinna

This figure shows the co-authorship network connecting the top 25 collaborators of Heli Nevanlinna. A scholar is included among the top collaborators of Heli Nevanlinna 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 Heli Nevanlinna. Heli Nevanlinna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alhopuro, Pia, et al.. (2020). Constitutional mosaicism for a BRCA2 mutation as a cause of early-onset breast cancer. Familial Cancer. 19(4). 307–310. 11 indexed citations
2.
Beesley, Jonathan, et al.. (2020). SNPs in lncRNA Regions and Breast Cancer Risk. Frontiers in Genetics. 11. 550–550. 13 indexed citations
3.
Pelttari, Liisa M., Paula Poikonen‐Saksela, Antti Jekunen, et al.. (2017). CHEK2 c.1100delC mutation is associated with an increased risk for male breast cancer in Finnish patient population. BMC Cancer. 17(1). 620–620. 28 indexed citations
4.
Muranen, Taru, Nasim Mavaddat, Sofia Khan, et al.. (2016). Polygenic risk score is associated with increased disease risk in 52 Finnish breast cancer families. Breast Cancer Research and Treatment. 158(3). 463–469. 16 indexed citations
5.
Khan, Sofia, Rainer Fagerholm, Sajjad Rafiq, et al.. (2015). Polymorphism at 19q13.41 Predicts Breast Cancer Survival Specifically after Endocrine Therapy. Clinical Cancer Research. 21(18). 4086–4096. 11 indexed citations
6.
Dai, Xiaofeng, Rainer Fagerholm, Sofia Khan, Carl Blomqvist, & Heli Nevanlinna. (2014). INPP4B and RAD50 have an interactive effect on survival after breast cancer. Breast Cancer Research and Treatment. 149(2). 363–371. 9 indexed citations
7.
Rafiq, Sajjad, Sofia Khan, William Tapper, et al.. (2014). A Genome Wide Meta-Analysis Study for Identification of Common Variation Associated with Breast Cancer Prognosis. PLoS ONE. 9(12). e101488–e101488. 24 indexed citations
8.
Heikkinen, Tuomas, Sofia Khan, Johanna Schleutker, et al.. (2014). Evaluation of the RHINO gene for breast cancer predisposition in Finnish breast cancer families. Breast Cancer Research and Treatment. 144(2). 437–441.
9.
Rafiq, Sajjad, William Tapper, Andrew Collins, et al.. (2013). Identification of Inherited Genetic Variations Influencing Prognosis in Early-Onset Breast Cancer. Cancer Research. 73(6). 1883–1891. 28 indexed citations
10.
Laitinen, Virpi H., Tiina Wahlfors, Tommi Rantapero, et al.. (2013). HOXB13 G84E Mutation in Finland: Population-Based Analysis of Prostate, Breast, and Colorectal Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 22(3). 452–460. 65 indexed citations
11.
Fagerholm, Rainer, Kam Sprott, Tuomas Heikkinen, et al.. (2013). Overabundant FANCD2, alone and combined with NQO1, is a sensitive marker of adverse prognosis in breast cancer. Annals of Oncology. 24(11). 2780–2785. 27 indexed citations
12.
Greco, Dario, Tuomas Heikkinen, Sippy Kaur, et al.. (2011). MiR-34a Expression Has an Effect for Lower Risk of Metastasis and Associates with Expression Patterns Predicting Clinical Outcome in Breast Cancer. PLoS ONE. 6(11). e26122–e26122. 67 indexed citations
13.
Heikkinen, Tuomas, Dario Greco, Liisa M. Pelttari, et al.. (2011). Variants on the promoter region of PTEN affect breast cancer progression and patient survival. Breast Cancer Research. 13(6). R130–R130. 36 indexed citations
14.
Heikkinen, Tuomas, Kirsimari Aaltonen, Roger L. Milne, et al.. (2009). The Breast Cancer Susceptibility Mutation PALB2 1592delT Is Associated with an Aggressive Tumor Phenotype. Clinical Cancer Research. 15(9). 3214–3222. 94 indexed citations
15.
Aaltonen, Kirsimari, Pia Heikkilä, Kristiina Aittomäki, et al.. (2009). High cyclin B1 expression is associated with poor survival in breast cancer. British Journal of Cancer. 100(7). 1055–1060. 98 indexed citations
16.
Tommiska, Johanna, Jiřina Bártková, Laura Hautala, et al.. (2007). The DNA damage signalling kinase ATM is aberrantly reduced or lost in BRCA1/BRCA2-deficient and ER/PR/ERBB2-triple-negative breast cancer. Oncogene. 27(17). 2501–2506. 92 indexed citations
17.
Aaltonen, Kirsimari, Cecilia Ahlin, Rose‐Marie Amini, et al.. (2006). Reliability of cyclin A assessment on tissue microarrays in breast cancer compared to conventional histological slides. British Journal of Cancer. 94(11). 1697–1702. 22 indexed citations
18.
Eerola, Hannaleena, Päivi Heikkilä, Anitta Tamminen, et al.. (2005). Relationship of patients' age to histopathological features of breast tumours in BRCA1 and BRCA2and mutation-negative breast cancer families. Breast Cancer Research. 7(4). R465–9. 50 indexed citations
19.
Vahteristo, Pia, Jiřina Bártková, Hannaleena Eerola, et al.. (2002). A CHEK2 Genetic Variant Contributing to a Substantial Fraction of Familial Breast Cancer. The American Journal of Human Genetics. 71(2). 432–438. 346 indexed citations
20.
Muhonen, Timo, Hannaleena Eerola, Paula Vehmanen, et al.. (1997). Breast cancer risk estimation in families with history of breast cancer. British Journal of Cancer. 76(9). 1228–1231. 2 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.

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