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.
Definition, structure, content, use and impacts of electronic health records: A review of the research literature
2008844 citationsKristiina Häyrinen, Kaija Saranto et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Kaija Saranto'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 Kaija Saranto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaija Saranto more than expected).
This network shows the impact of papers produced by Kaija Saranto. 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 Kaija Saranto. The network helps show where Kaija Saranto may publish in the future.
Co-authorship network of co-authors of Kaija Saranto
This figure shows the co-authorship network connecting the top 25 collaborators of Kaija Saranto.
A scholar is included among the top collaborators of Kaija Saranto 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 Kaija Saranto. Kaija Saranto is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Vehko, Tuulikki, et al.. (2021). Sairaanhoitajien asiakas- ja potilastietojärjestelmien käyttö mobiililaitteella sosiaali- ja terveydenhuollossa. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari).1 indexed citations
Mäkelä, Matti, et al.. (2017). An analysis of electronic health record-related patient safety incidents. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari).2 indexed citations
12.
Leino, Timo, et al.. (2016). Kokemuksia tietojen vaihdosta työterveysyhteistyössä: terveystarkastuksessa kirjattavat tiedot. SHILAP Revista de lepidopterología.2 indexed citations
13.
Hübner, Ursula, Kaija Saranto, Amy Coenen, & Joyce Sensmeier. (2013). eNursing Summary – Where Global Standardisation and Regional Practice Meet. 1236–1236.2 indexed citations
14.
Kuusisto, Anne, et al.. (2013). The effects of electronic health record on the flow of information - a pilot study.. PubMed. 192. 1060–1060.1 indexed citations
15.
Samal, Lipika, Patricia C. Dykes, Kaija Saranto, & David W. Bates. (2013). Patient-Centered Care Across Transitions: Challenges and Opportunities in Clinical Informatics. 1238–1238.1 indexed citations
16.
Saranto, Kaija, et al.. (2012). Tiedonhallinnan koulutusohjelma arvioitavana - kokemuksia kansainvälisestä akkreditoinnista. SHILAP Revista de lepidopterología.1 indexed citations
Saranto, Kaija, et al.. (2009). Nurse informaticians in Finland - who are they and what are they doing?. PubMed. 146. 868–868.1 indexed citations
19.
Saranto, Kaija, et al.. (2009). Sosiaali‐ ja terveydenhuollon tiedonhallinta - Paradigma tieteenalan perustana. SHILAP Revista de lepidopterología.1 indexed citations
20.
Häyrinen, Kristiina & Kaija Saranto. (2005). The core data elements of electronic health record in Finland.. PubMed. 116. 131–6.17 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.