Maria Sundvall

2.3k total citations
33 papers, 1.8k citations indexed

About

Maria Sundvall is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maria Sundvall has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 16 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maria Sundvall's work include HER2/EGFR in Cancer Research (11 papers), Cancer-related Molecular Pathways (7 papers) and Ubiquitin and proteasome pathways (6 papers). Maria Sundvall is often cited by papers focused on HER2/EGFR in Cancer Research (11 papers), Cancer-related Molecular Pathways (7 papers) and Ubiquitin and proteasome pathways (6 papers). Maria Sundvall collaborates with scholars based in Finland, United States and Israel. Maria Sundvall's co-authors include Klaus Elenius, Teemu T. Junttila, Jorma A. Määttä, Jorma Isola, Reidar Grénman, Kristiina Iljin, Jarmo Kulmala, Kaisa Erjala, Heikki Joensuu and Johan Lundin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Maria Sundvall

31 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Sundvall Finland 20 1.2k 949 364 303 289 33 1.8k
Maria Niewolna United States 18 1.0k 0.9× 1.2k 1.3× 290 0.8× 351 1.2× 304 1.1× 23 2.0k
Hakim Bouterfa Germany 23 573 0.5× 1.0k 1.1× 491 1.3× 177 0.6× 228 0.8× 40 2.4k
Azucena Esparís‐Ogando Spain 27 1.3k 1.1× 861 0.9× 310 0.9× 160 0.5× 262 0.9× 45 2.0k
Todd R. Palmby United States 18 927 0.8× 541 0.6× 173 0.5× 355 1.2× 179 0.6× 19 1.6k
Gianluca Sala Italy 24 1.1k 0.9× 761 0.8× 336 0.9× 213 0.7× 225 0.8× 64 1.9k
April A. N. Rose Canada 21 958 0.8× 998 1.1× 205 0.6× 372 1.2× 307 1.1× 57 1.9k
Teresa C. Dugger United States 16 1.7k 1.4× 1.7k 1.8× 388 1.1× 393 1.3× 503 1.7× 22 2.7k
Judit Anido Spain 7 745 0.6× 1.3k 1.4× 588 1.6× 301 1.0× 239 0.8× 14 1.7k
Ka Yin Kwong United States 14 1.7k 1.5× 1.2k 1.3× 339 0.9× 310 1.0× 353 1.2× 17 2.7k
Keltouma Driouch France 24 1.3k 1.1× 687 0.7× 120 0.3× 264 0.9× 425 1.5× 41 1.8k

Countries citing papers authored by Maria Sundvall

Since Specialization
Citations

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

Fields of papers citing papers by Maria Sundvall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Sundvall

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Sundvall. A scholar is included among the top collaborators of Maria Sundvall 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 Sundvall. Maria Sundvall 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
2.
Sundvall, Maria, Ilmo Leivo, Heikki Irjala, et al.. (2024). xCT as a Predictor for Survival in a Population‐Based Cohort of Head and Neck Squamous Cell Carcinoma. Cancer Medicine. 13(21). e70371–e70371.
3.
Rannikko, Antti, et al.. (2024). Phage Biosensor for the Classification of Metastatic Urological Cancers from Urine. Life. 14(5). 600–600. 4 indexed citations
4.
Kallionpää, Roosa, et al.. (2024). TIMP-1 is an activator of MHC-I expression in myeloid dendritic cells with implications for tumor immunogenicity. Genes and Immunity. 25(3). 188–200. 8 indexed citations
5.
Mendez, Lourdes, et al.. (2021). Therapeutic Potential of Targeting the SUMO Pathway in Cancer. Cancers. 13(17). 4402–4402. 51 indexed citations
6.
Sundvall, Maria. (2019). Role of Ubiquitin and SUMO in Intracellular Trafficking. Current Issues in Molecular Biology. 35. 99–108. 9 indexed citations
7.
Knuutila, Sakari, et al.. (2018). Different responses of colorectal cancer cells to alternative sequences of cetuximab and oxaliplatin. Scientific Reports. 8(1). 16579–16579. 7 indexed citations
8.
Johnson, Mark S., et al.. (2017). SUMOylation regulates nuclear accumulation and signaling activity of the soluble intracellular domain of the ErbB4 receptor tyrosine kinase. Journal of Biological Chemistry. 292(48). 19890–19904. 14 indexed citations
9.
Carracedo, Arkaitz, Dror Weiss, Manoj Bhasin, et al.. (2012). A metabolic prosurvival role for PML in breast cancer. Journal of Clinical Investigation. 122(9). 3088–3100. 211 indexed citations
10.
Sundvall, Maria, Ville Veikkolainen, Kari J. Kurppa, et al.. (2010). Cell Death or Survival Promoted by Alternative Isoforms of ErbB4. Molecular Biology of the Cell. 21(23). 4275–4286. 49 indexed citations
11.
Sundvall, Maria, et al.. (2010). EGFR targeting drugs in the treatment of head and neck squamous cell carcinoma. Expert Opinion on Emerging Drugs. 15(2). 185–201. 32 indexed citations
12.
Zhang, Na, Kaisa Erjala, Jarmo Kulmala, et al.. (2009). Concurrent cetuximab, cisplatin, and radiation for squamous cell carcinoma of the head and neck in vitro. Radiotherapy and Oncology. 92(3). 388–392. 42 indexed citations
13.
Peltola, Katriina, Maija Hollmén, Eeva-Marja Rainio, et al.. (2009). Pim-1 Kinase Expression Predicts Radiation Response in Squamocellular Carcinoma of Head and Neck and Is under the Control of Epidermal Growth Factor Receptor. Neoplasia. 11(7). 629–IN1. 60 indexed citations
14.
Sundvall, Maria, Kristiina Iljin, Sami Kilpinen, et al.. (2008). Role of ErbB4 in Breast Cancer. Journal of Mammary Gland Biology and Neoplasia. 13(2). 259–268. 118 indexed citations
15.
Tvorogov, Denis, Maria Sundvall, Kari J. Kurppa, et al.. (2008). Somatic Mutations of ErbB4. Journal of Biological Chemistry. 284(9). 5582–5591. 53 indexed citations
16.
Aqeilan, Rami I., Valentina Donati, Eugenio Gaudio, et al.. (2007). Association of Wwox with ErbB4 in Breast Cancer. Cancer Research. 67(19). 9330–9336. 95 indexed citations
17.
Erjala, Kaisa, Na Zhang, Maria Sundvall, et al.. (2007). Concomitant chemoirradiation with vinorelbine and gefitinib induces additive effect in head and neck squamous cell carcinoma cell lines in vitro. Radiotherapy and Oncology. 85(1). 138–145. 6 indexed citations
18.
Sundvall, Maria, Jorma A. Määttä, Denis Tvorogov, et al.. (2007). Differential nuclear localization and kinase activity of alternative ErbB4 intracellular domains. Oncogene. 26(48). 6905–6914. 53 indexed citations
19.
Junttila, Teemu T., Maria Sundvall, Mikael Lundin, et al.. (2005). Cleavable ErbB4 Isoform in Estrogen Receptor–Regulated Growth of Breast Cancer Cells. Cancer Research. 65(4). 1384–1393. 159 indexed citations
20.
Kainulainen, Varpu, et al.. (2000). A Natural ErbB4 Isoform That Does Not Activate Phosphoinositide 3-Kinase Mediates Proliferation but Not Survival or Chemotaxis. Journal of Biological Chemistry. 275(12). 8641–8649. 142 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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