Miro Viitala

31 total papers · 508 total citations
11 papers, 327 citations indexed

About

Miro Viitala is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Miro Viitala has authored 11 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Miro Viitala's work include Immune cells in cancer (4 papers), RNA Research and Splicing (2 papers) and Pluripotent Stem Cells Research (2 papers). Miro Viitala is often cited by papers focused on Immune cells in cancer (4 papers), RNA Research and Splicing (2 papers) and Pluripotent Stem Cells Research (2 papers). Miro Viitala collaborates with scholars based in Finland, Netherlands and United Kingdom. Miro Viitala's co-authors include Maija Hollmén, Sirpa Jalkanen, Reetta Virtakoivu, Kirsi Ketola, Kristiina Iljin, Olli Kallioniemi, Laura Lehtinen, Rami Mäkelä, Riikka Lund and Nelly Rahkonen and has published in prestigious journals such as PLoS ONE, Cancer Research and Clinical Cancer Research.

In The Last Decade

Miro Viitala

11 papers receiving 326 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Miro Viitala 162 120 84 81 24 11 327
Victoria Lang 162 1.0× 125 1.0× 54 0.6× 66 0.8× 31 1.3× 13 337
Jian Yuan Goh 163 1.0× 120 1.0× 115 1.4× 115 1.4× 15 0.6× 14 334
Valeria Cicatiello 200 1.2× 74 0.6× 81 1.0× 41 0.5× 15 0.6× 16 358
Markus Linder 189 1.2× 73 0.6× 76 0.9× 61 0.8× 36 1.5× 10 308
Samantha Gokhale 158 1.0× 125 1.0× 65 0.8× 108 1.3× 13 0.5× 13 317
Bhavna Murali 145 0.9× 61 0.5× 103 1.2× 43 0.5× 12 0.5× 9 316
Katie E. Hebron 161 1.0× 118 1.0× 97 1.2× 49 0.6× 44 1.8× 12 342
Alessandro Barbato 184 1.1× 70 0.6× 94 1.1× 58 0.7× 17 0.7× 15 328
Yan Cao 149 0.9× 60 0.5× 48 0.6× 29 0.4× 20 0.8× 12 324
David Bettoun 211 1.3× 52 0.4× 69 0.8× 69 0.9× 32 1.3× 8 358

Countries citing papers authored by Miro Viitala

Since Specialization
Citations

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

Fields of papers citing papers by Miro Viitala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miro Viitala

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

All Works

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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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