Tuula Salonen

457 total citations
10 papers, 384 citations indexed

About

Tuula Salonen is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Tuula Salonen has authored 10 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Oncology. Recurrent topics in Tuula Salonen's work include Virus-based gene therapy research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). Tuula Salonen is often cited by papers focused on Virus-based gene therapy research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). Tuula Salonen collaborates with scholars based in Finland, Germany and Hungary. Tuula Salonen's co-authors include L Teppo, Timo Hakulinen, Harri Vainio, Irma Saloniemi, Kari Hemminki, Timo Partanen, Lauri Saxén, Tanja Hakkarainen, Jarmo Wahlfors and Riikka Pellinen and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, International Journal of Cancer and Journal of Epidemiology & Community Health.

In The Last Decade

Tuula Salonen

10 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tuula Salonen Finland 9 132 112 105 87 51 10 384
D. Schüler Hungary 11 129 1.0× 113 1.0× 67 0.6× 143 1.6× 49 1.0× 83 426
Firouz Khamsi Canada 16 362 2.7× 108 1.0× 40 0.4× 120 1.4× 42 0.8× 26 725
Bruna Tedeschi Italy 16 92 0.7× 115 1.0× 135 1.3× 287 3.3× 73 1.4× 37 620
Tamara Zdravkovic United States 11 97 0.7× 246 2.2× 49 0.5× 374 4.3× 35 0.7× 13 764
Matthias Wielscher Austria 14 53 0.4× 67 0.6× 55 0.5× 275 3.2× 39 0.8× 27 557
Damyanti Bhardwaj Canada 7 121 0.9× 201 1.8× 30 0.3× 240 2.8× 37 0.7× 8 672
C. S. Rosenfeld United States 11 126 1.0× 55 0.5× 12 0.1× 88 1.0× 69 1.4× 15 484
Mohan Bangah Australia 16 294 2.2× 43 0.4× 61 0.6× 378 4.3× 63 1.2× 21 980
Eleanor Delfs United States 11 182 1.4× 108 1.0× 17 0.2× 173 2.0× 32 0.6× 13 533
Ken H. Buetow United States 5 56 0.4× 22 0.2× 79 0.8× 236 2.7× 36 0.7× 8 413

Countries citing papers authored by Tuula Salonen

Since Specialization
Citations

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

Fields of papers citing papers by Tuula Salonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuula Salonen

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

All Works

10 of 10 papers shown
1.
Lehmusvaara, Saara, Tuula Salonen, Tanja Hakkarainen, et al.. (2006). Type I interferon response against viral and non‐viral gene transfer in human tumor and primary cell lines. The Journal of Gene Medicine. 9(2). 122–135. 17 indexed citations
2.
Siintola, Eija, et al.. (2005). Two novel CLN6 mutations in variant late‐infantile neuronal ceroid lipofuscinosis patients of Turkish origin. Clinical Genetics. 68(2). 167–173. 23 indexed citations
3.
Pellinen, Riikka, et al.. (2004). Cancer cells as targets for lentivirus-mediated gene transfer and gene therapy. International Journal of Oncology. 25(6). 1753–62. 40 indexed citations
4.
Salonen, Tuula. (1995). Report of a questionnaire survey of poststroke patients with aphasia and their families. Topics in Stroke Rehabilitation. 2(3). 72–75. 7 indexed citations
5.
Hemminki, Kari, Irma Saloniemi, Tuula Salonen, Timo Partanen, & Harri Vainio. (1981). Childhood cancer and parental occupation in Finland.. Journal of Epidemiology & Community Health. 35(1). 11–15. 104 indexed citations
6.
Hemminki, Kari, Irma Saloniemi, Katariina Luoma, et al.. (1980). Transplacental carcinogens and mutagens: Childhood cancer, malformations, and abortions as risk indicators. Journal of Toxicology and Environmental Health. 6(5-6). 1115–1126. 37 indexed citations
7.
Salonen, Tuula. (1976). Prenatal and perinatal factors in childhood cancer.. PubMed. 8(1). 27–42. 24 indexed citations
8.
Hakulinen, Timo, Tuula Salonen, & L Teppo. (1976). Cancer in the offspring of fathers in hydrocarbon-related occupations.. Journal of Epidemiology & Community Health. 30(2). 138–140. 60 indexed citations
9.
Teppo, L, Tuula Salonen, & Timo Hakulinen. (1975). Incidence of Childhood Cancer in Finland. JNCI Journal of the National Cancer Institute. 55(5). 1065–1067. 37 indexed citations
10.
Salonen, Tuula & Lauri Saxén. (1975). Risk indicators in childhood malignancies. International Journal of Cancer. 15(6). 941–946. 35 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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