Especially in the natural and life sciences, citation numbers are documented carefully in various citation databases. The most widely recognised of these are Scopus, owned by Elsevier, and Web of Science, owned by Clarivate Analytics.
The researchers presented on this page belong to the Highly Cited Researchers list by Clarivate Analytics. To be included in the list, researchers must rank among the top one per cent by citations for their field in the Web of Science database. In general, the humanities and social sciences are poorly covered in citation databases.
The disciplinary categorisation on this page follows that of the Highly Cited Researchers list. It is based on the field of publications in which the researcher’s articles have been published as well as on the researcher’s own assessment. The categorisation is not based on, for example, the faculty or unit in which the researcher works.
The number of citations is not the only way to measure the quality of research. Nevertheless, the most highly cited researchers are undoubtedly among the top in their field.
Time and again, atmospheric sciences are strongly represented on the lists of the most highly cited researchers.
Their success partly stems from the research environment of the
Kulmala heads the
Douglas Worsnop investigates the chemical and heterogeneous reactions of atmospheric aerosols. He has also developed laboratory and field measurement techniques for studying atmospheric gases and aerosols.
Worsnop works primarily at Aerodyne Research and secondarily at the University of Helsinki.
Liisa Holm and her research group develop computational methods to compare and classify data pouring out from genome sequencing and structural genomics projects. For example, they have developed an ultrafast database search method which enables high-throughput functional and taxonomic assignment as well as error detection and correction based on a consensus over homologues.
Tero Aittokallio with his research group focuses on developing and applying integrated computational-experimental
approaches to tackle biomedical questions, such as how genes function as interaction networks to carry out and
regulate cellular processes, how alterations in these networks contribute to complex traits, such as human diseases,
and where and how in the disease network one should target to optimally inhibit the disease phenotypes, such as tumor growth.
Tero Aittokallio leads Computational systems medicine research group at
which is part of
Markus Jokela has PhD in Psychology and another PhD in epidemiology His research focuses on the interplay between individuals and populations. At the individual level, he is interested in characteristics and behaviors such as personality, intelligence, and person’s life course trajectories. At the population level, he is interested in population mental health, chronic diseases, spatial patterns, and the population processes of mortality, migration, and fertility.
Mika Kivimäki investigates risk factors and prognosis factors associated with chronic diseases that start as adults from the perspective of public health.
Mika Kivimäki works primarily at University College in London and secondarily at the University of Helsinki.
Tommi Vatanen and his research group develop and use computational models, machine learning and bioinformatics to understand the dynamics of human microbial communities – predominantly the gut microbiomes – and their implications to human development, health and wellbeing.
Ville-Petri Friman's research focuses on the interplay between rapid evolutionary and ecological dynamics.
De Vos leads a research group focused on the study of microbiota. His first affiliation is to the Wageningen University and Research.