Kati Donner

13.2k 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 89
  • Cardiology and Cardiovascular Medicine 870
  • Genetics 245
  • Cell Biology 316
  • Endocrine and Autonomic Systems 85
  • Molecular Biology 773
Replace Andrea A. Domenighetti with:
Andrea A. Domenighetti United States
Eric Schauble United States
G. Stoltenburg Germany
Jyoti Disa United States
Angela K. Best United States
Timothy Connor Australia
Rainer Metzger Germany
Eun‐A Ko South Korea
Philipp S. Lange Germany
M. Juhaszova United States
Kati Donner relative to Andrea A. Domenighetti United States Andrea A. Domenighetti's profile →
Citations per field
00.5×4.3×
Andrea A. Domenighetti · 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 201496
4 200691
5 200482
6 200267
7 201561
8 200250
9 201140
10 200136
11 201335
12 202033
13 201431
14 201030
15 201529
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 201623

About Kati Donner

Kati Donner is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology, Physiology 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), Cellular Mechanics and Interactions (5 papers), Microtubule and mitosis dynamics (4 papers), Circadian rhythm and melatonin (4 papers), Renin-Angiotensin System Studies (3 papers), Connective tissue disorders research (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (870 citations), Genetics (245 citations), Cell Biology (316 citations), Endocrine and Autonomic Systems (85 citations) and Molecular Biology (773 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, Timo P. Hiltunen, Maaret Ridanpää, Mari Kaunisto and Caroline A. Sewry. Their work appears in journals such as Neuromuscular Disorders, PLoS ONE, Human Mutation, European Journal of Human Genetics and Hypertension Research.

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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