Daniela Hirnet

1.1k citations
23 papers · 908 · h-index 14

Impact in

    • Ion Channels and Receptors
    • Olfactory and Sensory Function Studies
  • Physiology top 2%
    • Adenosine and Purinergic Signaling

Papers in

Daniela Hirnet

23 papers receiving 887 citations

Peers

Daniela Hirnet
Comparison fields: 5 of 89
  • Sensory Systems 474
  • Physiology 113
  • Cellular and Molecular Neuroscience 353
  • Neurology 153
  • Nutrition and Dietetics 189
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Yilin Tai China
Zhi-Gang Xiong United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Hirnet

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Hirnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009122
2 2004120
3 2003115
4 2009104
5 200587
6 200364
7 201053
8 200839
9 201436
10 202130
11 201726
12 201926
13 201118
14 201417
15 200612
16 201811
17 20229
18 20225
19 20215
20 20114

About Daniela Hirnet

Daniela Hirnet is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Neurology, having authored 23 papers that have together received 908 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Olfactory and Sensory Function Studies (9 papers), Adenosine and Purinergic Signaling (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Ion Channels and Receptors (4 papers), Neuroendocrine regulation and behavior (3 papers), Ion channel regulation and function (3 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Sensory Systems (474 citations), Physiology (113 citations), Cellular and Molecular Neuroscience (353 citations), Neurology (153 citations) and Nutrition and Dietetics (189 citations). Daniela Hirnet has collaborated with scholars based in Germany, United States and Mali. Frequent co-authors include Christian Lohr, Ulrich Wissenbach, Veit Flockerzi, Joachim W. Deitmer, Gary L. Westbrook, Didier De Saint Jan, Serge Charpak, Claudia Fecher‐Trost, Barbara A. Niemeyer and Dieter Sültemeyer. Their work appears in journals such as Frontiers in Cellular Neuroscience, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Pflügers Archiv - European Journal of Physiology and The Cerebellum.

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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