Mette Assentoft

665 citations
12 papers · 555 · h-index 11

Impact in

Papers in

Mette Assentoft

12 papers receiving 551 citations

Peers

Mette Assentoft
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 218
  • Neurology 91
  • Developmental Neuroscience 35
  • Endocrine and Autonomic Systems 50
  • Molecular Biology 357
Replace Eli Gunnarson with:
Eli Gunnarson Sweden
Bjørg Roberg Norway
Brian Roland Larsen Denmark
Kathleen J. Sweadner United States
Miriam Ries United Kingdom
Yasunobu Shimano Japan
María Florencia Angelo France
Duc M. Duong United States
Raghavendra Yelahanka Nagaraja United States
Marie Xun Wang United States
Mette Assentoft relative to Eli Gunnarson Sweden Eli Gunnarson's profile →
Citations per field
00.5×1.7×
Eli Gunnarson · 1×
Citations per year

Countries citing papers authored by Mette Assentoft

Since Specialization
Citations

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

Fields of papers citing papers by Mette Assentoft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mette Assentoft, 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 Mette Assentoft Line = papers co-authored together Mette Assentoft links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2014227
2 201748
3 201547
4 201545
5 201638
6 201331
7 201629
8 201528
9 201223
10 201419
11 201714
12 20156

About Mette Assentoft

Mette Assentoft is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Social Psychology, Endocrinology, Diabetes and Metabolism and Sensory Systems, having authored 12 papers that have together received 555 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (11 papers), Electrolyte and hormonal disorders (4 papers), Neuroendocrine regulation and behavior (3 papers), Ion channel regulation and function (3 papers), ATP Synthase and ATPases Research (2 papers), 14-3-3 protein interactions (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (218 citations), Neurology (91 citations), Developmental Neuroscience (35 citations), Endocrine and Autonomic Systems (50 citations) and Molecular Biology (357 citations). Mette Assentoft has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Nanna MacAulay, Brian Roland Larsen, Susan Z. Hua, Robert A. Fenton, Maria Luisa Cotrina, Kai Kaila, Maiken Nedergaard, Juha Voipio, Bert L. de Groot and Shreyas Kaptan. Their work appears in journals such as Glia, Journal of Biological Chemistry, The Journal of Physiology, American Journal of Physiology-Renal Physiology and Structure.

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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