Maud Daleskog

17 total papers · 1.5k total citations
13 papers, 1.2k citations indexed

About

Maud Daleskog is a scholar working on Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Physiology. According to data from OpenAlex, Maud Daleskog has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Animal Science and Zoology and 3 papers in Physiology. Recurrent topics in Maud Daleskog's work include Heart Rate Variability and Autonomic Control (4 papers), Pharmacological Effects and Assays (3 papers) and Cardiovascular and exercise physiology (2 papers). Maud Daleskog is often cited by papers focused on Heart Rate Variability and Autonomic Control (4 papers), Pharmacological Effects and Assays (3 papers) and Cardiovascular and exercise physiology (2 papers). Maud Daleskog collaborates with scholars based in Sweden and United States. Maud Daleskog's co-authors include Paul Hjemdahl, Thomas Kahan, Thomas Helleday, Charlotte Thålin, Mélanie Demers, Håkan Wallén, Aleksander Perski, Peter Henriksson, Mia Phillipson and Gunilla Bohlin and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Maud Daleskog

13 papers receiving 1.1k citations

Hit Papers

Determination of plasma c... 1979 2026 1994 2010 1979 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Maud Daleskog 336 257 228 169 120 13 1.2k
Gustavo Santos Masson 255 0.8× 142 0.6× 311 1.4× 229 1.4× 72 0.6× 18 1.1k
Cindy Ruwhof 449 1.3× 141 0.5× 168 0.7× 470 2.8× 20 0.2× 22 1.5k
Stefan Blankenberg 314 0.9× 131 0.5× 336 1.5× 328 1.9× 28 0.2× 25 1.4k
James B. Strait 980 2.9× 197 0.8× 44 0.2× 297 1.8× 65 0.5× 21 1.5k
Harinath Kasiganesan 362 1.1× 173 0.7× 45 0.2× 542 3.2× 87 0.7× 27 1.2k
Alex L. Huang 345 1.0× 283 1.1× 87 0.4× 115 0.7× 82 0.7× 28 943
Paula J. Carlson 112 0.3× 354 1.4× 201 0.9× 214 1.3× 48 0.4× 20 1.4k
Neale Foxwell 186 0.6× 708 2.8× 164 0.7× 336 2.0× 34 0.3× 15 1.4k
Yasushi Moriyama 357 1.1× 150 0.6× 89 0.4× 189 1.1× 28 0.2× 39 1.3k
David Farmer 291 0.9× 352 1.4× 192 0.8× 200 1.2× 33 0.3× 22 1.2k

Countries citing papers authored by Maud Daleskog

Since Specialization
Citations

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

Fields of papers citing papers by Maud Daleskog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Daleskog

This figure shows the co-authorship network connecting the top 25 collaborators of Maud Daleskog. A scholar is included among the top collaborators of Maud Daleskog 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 Maud Daleskog. Maud Daleskog 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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