Kati Donner

12.7k citations
35 papers · 1.4k · h-index 21

Impact in

Papers in

Kati Donner

34 papers receiving 1.4k citations

Peers

Kati Donner
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 916
  • Genetics 293
  • Cell Biology 348
  • Endocrine and Autonomic Systems 88
  • Molecular Biology 874
Replace G. Stoltenburg with:
G. Stoltenburg Germany
Jyoti Disa United States
Tengis S. Pavlov United States
Janne R. Hingst Denmark
Conrado Johns United States
Giuseppe Cifelli Italy
Xiang‐Qun Hu United States
Angela K. Best United States
Martine Imbert–Teboul France
Manoj C. Rodrigo United States
Kati Donner relative to G. Stoltenburg Germany G. Stoltenburg's profile →
Citations per field
00.5×5.1×
G. Stoltenburg · 1×
Citations per year

Countries citing papers authored by Kati Donner

Since Specialization
Citations

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

Fields of papers citing papers by Kati Donner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kati Donner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kati Donner Line = papers co-authored together Kati Donner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999252
2 2002175
3 201494
4 200689
5 200482
6 200267
7 201561
8 200250
9 201140
10 200136
11 201334
12 202032
13 201431
14 201030
15 201528
16 200827
17 200826
18
Refined localisation of the genes for nebulin and titin on chromosome 2q allows the assignment of nebulin as a candidate gene for autosomal recessive nemaline myopathy.
199826
19 200824
20 199722

About Kati Donner

Kati Donner is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (13 papers), Muscle Physiology and Disorders (7 papers), Hormonal Regulation and Hypertension (6 papers), Cellular Mechanics and Interactions (5 papers), Renin-Angiotensin System Studies (4 papers), Circadian rhythm and melatonin (4 papers), Microtubule and mitosis dynamics (4 papers) and Genetic Associations and Epidemiology (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (916 citations), Genetics (293 citations), Cell Biology (348 citations), Endocrine and Autonomic Systems (88 citations) and Molecular Biology (874 citations). Kati Donner has collaborated with scholars based in Finland, Germany and Australia. Frequent co-authors include Carina Wallgren‐Pettersson, Katarina Pelin, Nigel G. Laing, Timo Partonen, Leena Kovanen, Vilma‐Lotta Lehtokari, Maaret Ridanpää, Timo P. Hiltunen, Mari Kaunisto and Caroline A. Sewry. Their work appears in journals such as Neuromuscular Disorders, PLoS ONE, European Journal of Human Genetics, Human Mutation and Journal of Hypertension.

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.

Explore authors with similar magnitude of impact