Aaro Tupasela

37 papers receiving 494 citations

Peers

Aaro Tupasela
Comparison fields: 5 of 85
  • Public Health, Environmental and Occupational Health 285
  • Physiology 139
  • Genetics 105
  • Sociology and Political Science 78
  • Economics and Econometrics 63
Replace Catherine Heeney with:
Catherine Heeney United Kingdom
Colin Mitchell United Kingdom
Janet Atkinson‐Grosjean Canada
Geraldine O’Brien United Kingdom
Colleen Casey United States
В. А. Маркусова Russia
Xinyan Zhao United States
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Britta Glennon United States
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Citations per year

Countries citing papers authored by Aaro Tupasela

Since Specialization
Citations

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

Fields of papers citing papers by Aaro Tupasela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaro Tupasela

This figure shows the co-authorship network connecting the top 25 collaborators of Aaro Tupasela. A scholar is included among the top collaborators of Aaro Tupasela 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 Aaro Tupasela. Aaro Tupasela 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
#WorkIndexed citations
1 0
2 0
3 2
4 7
5 8
6 2
7
Ethics of Medical AI: The Case of Watson for Oncology
1
8
Ethics policies and ethics work in cross-national genetic research and data sharing: Flows, nonflows, and overflows
1
9 9
10 29
11 28
12 2
13 18
14
Patients, business and the state – translating health information into sustainable benefits:Policy brief for engagement practices in Iceland, UK, Finland, Canada, Spain and the US
1
15 18
16
Luottavatko suomalaiset terveydenhuollon toimijoihin?
1
17
Consent Practices and Biomedical Knowledge Production in Tissue Economies
7
18 4
19 74
20
Intellectual Property Rights and Licensing: Can Centralised Technology Transfer Save Public Research?
6

About Aaro Tupasela

Aaro Tupasela is a scholar working on Health Informatics, Public Health, Environmental and Occupational Health and Physiology, having authored 41 papers that have together received 519 indexed citations. Recurring topics across this work include Ethics in Clinical Research (22 papers), Biomedical Ethics and Regulation (12 papers) and Race, Genetics, and Society (5 papers). The work is most often cited by research in Health Informatics (23 citations), Public Health, Environmental and Occupational Health (285 citations) and Management of Technology and Innovation (52 citations). Aaro Tupasela has collaborated with scholars based in Finland, Denmark and United States. Frequent co-authors include Karoliina Snell, Arja R. Aro, Elina Hemminki, Sinikka Sihvo, Piia Jallinoja, Ezio Di Nucci, Malene Bøgehus Rasmussen, Klaus Hoeyer, Neil Stephens and Sakari Tamminen. Their work appears in journals such as European Journal of Human Genetics, Social Studies of Science and Scandinavian Journal of Public Health.

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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