Silva Saarinen

598 total citations
10 papers, 294 citations indexed

About

Silva Saarinen is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Silva Saarinen has authored 10 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Silva Saarinen's work include Lymphoma Diagnosis and Treatment (4 papers), RNA modifications and cancer (2 papers) and Viral-associated cancers and disorders (2 papers). Silva Saarinen is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), RNA modifications and cancer (2 papers) and Viral-associated cancers and disorders (2 papers). Silva Saarinen collaborates with scholars based in Finland, United Kingdom and Sweden. Silva Saarinen's co-authors include Pia Vahteristo, Lauri A. Aaltonen, Mervi Aavikko, Eevi Kaasinen, Rainer Lehtonen, Markus J. Mäkinen, Kaarle Franssila, Kristiina Aittomäki, Virpi Launonen and Ekaterina Morgunova and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Silva Saarinen

8 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silva Saarinen Finland 7 119 97 89 63 53 10 294
E. Swisher United States 4 177 1.5× 98 1.0× 123 1.4× 24 0.4× 37 0.7× 9 384
Amy Billet United States 7 127 1.1× 64 0.7× 143 1.6× 96 1.5× 42 0.8× 8 580
Ana M. Figueiredo Portugal 10 124 1.0× 30 0.3× 45 0.5× 40 0.6× 22 0.4× 12 342
Lisa Shane United States 8 98 0.8× 23 0.2× 61 0.7× 52 0.8× 26 0.5× 14 283
Hrishikesh Deshmukh United States 6 163 1.4× 46 0.5× 47 0.5× 111 1.8× 27 0.5× 16 317
Cinzia Candiotto Italy 8 130 1.1× 55 0.6× 89 1.0× 67 1.1× 20 0.4× 9 378
Jane Chalker United Kingdom 8 153 1.3× 30 0.3× 169 1.9× 27 0.4× 24 0.5× 12 382
Jacquelyn J. Roth United States 13 229 1.9× 93 1.0× 53 0.6× 49 0.8× 16 0.3× 25 473
H. Samaha Lebanon 7 89 0.7× 148 1.5× 102 1.1× 24 0.4× 25 0.5× 10 377
PY Dietrich Switzerland 8 92 0.8× 79 0.8× 91 1.0× 23 0.4× 44 0.8× 13 380

Countries citing papers authored by Silva Saarinen

Since Specialization
Citations

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

Fields of papers citing papers by Silva Saarinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silva Saarinen

This figure shows the co-authorship network connecting the top 25 collaborators of Silva Saarinen. A scholar is included among the top collaborators of Silva Saarinen 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 Silva Saarinen. Silva Saarinen 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.
Yadouléton, Anges, et al.. (2025). Prevalence and determinants of neonatal infections in Benin based on a retrospective study in six reference hospitals. Scientific Reports. 15(1). 11093–11093.
2.
Heinolainen, Krista, Silva Saarinen, Simona Vertuani, et al.. (2023). Characterization of clinicopathological features, treatment practices, and outcomes among Finnish advanced breast cancer patients in real-life clinical practice. Journal of Cancer Research and Clinical Oncology. 149(11). 9139–9149. 2 indexed citations
3.
Turunen, Joni A., Salla Markkinen, Silva Saarinen, et al.. (2016). BAP1 Germline Mutations in Finnish Patients with Uveal Melanoma. Ophthalmology. 123(5). 1112–1117. 30 indexed citations
4.
Kaasinen, Eevi, Mervi Aavikko, Pia Vahteristo, et al.. (2013). Nationwide Registry-Based Analysis of Cancer Clustering Detects Strong Familial Occurrence of Kaposi Sarcoma. PLoS ONE. 8(1). e55209–e55209. 14 indexed citations
5.
Saarinen, Silva, Eevi Kaasinen, Marja‐Liisa Karjalainen‐Lindsberg, et al.. (2013). Primary mediastinal large B-cell lymphoma segregating in a family: exome sequencing identifies MLL as a candidate predisposition gene. Blood. 121(17). 3428–3430. 14 indexed citations
6.
Saarinen, Silva, ­Eero Pukkala, Pia Vahteristo, et al.. (2013). High Familial Risk in Nodular Lymphocyte-Predominant Hodgkin Lymphoma. Journal of Clinical Oncology. 31(7). 938–943. 35 indexed citations
7.
Aavikko, Mervi, Silva Saarinen, Pia Alhopuro, et al.. (2012). Loss of SUFU Function in Familial Multiple Meningioma. The American Journal of Human Genetics. 91(3). 520–526. 105 indexed citations
8.
Karinen, Sirkku, Silva Saarinen, Rainer Lehtonen, et al.. (2012). Rule-based induction method for haplotype comparison and identification of candidate disease loci. Genome Medicine. 4(3). 21–21. 1 indexed citations
9.
Saarinen, Silva, Pia Vahteristo, Rainer Lehtonen, et al.. (2012). Analysis of a Finnish family confirms RHBDF2 mutations as the underlying factor in tylosis with esophageal cancer. Familial Cancer. 11(3). 525–528. 39 indexed citations
10.
Saarinen, Silva, Mervi Aavikko, Kristiina Aittomäki, et al.. (2011). Exome sequencing reveals germline NPAT mutation as a candidate risk factor for Hodgkin lymphoma. Blood. 118(3). 493–498. 54 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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