Daniel Ursu

1.6k citations
29 papers · 1.2k · h-index 20

Impact in

Papers in

Daniel Ursu

29 papers receiving 1.2k citations

Peers

Daniel Ursu
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 515
  • Sensory Systems 99
  • Physiology 44
  • Molecular Biology 617
  • Psychiatry and Mental health 115
Replace Takashi Akasu with:
Takashi Akasu Japan
Yan‐Ai Mei China
Ceng Luo China
Bruno Lebrun France
Kristofer K. Rau United States
Chiara Salio Italy
Lisanne G. Laurier Canada
Sophie Laffray France
Iustin V. Tabarean United States
Bryan A. Copits United States
Daniel Ursu relative to Takashi Akasu Japan Takashi Akasu's profile →
Citations per field
00.5×10×13.4×
Takashi Akasu · 1×
Citations per year

Countries citing papers authored by Daniel Ursu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ursu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019198
2 2006154
3 2005114
4 201773
5 201465
6 201056
7 201346
8 201443
9 201542
10 200338
11 200134
12 200433
13 201332
14 201131
15 200730
16 200425
17 200325
18 201525
19 200924
20 201222

About Daniel Ursu

Daniel Ursu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Sensory Systems, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (16 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuroscience and Neural Engineering (7 papers), Cardiac electrophysiology and arrhythmias (5 papers), Receptor Mechanisms and Signaling (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Pain Mechanisms and Treatments (3 papers) and Ion Channels and Receptors (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (515 citations), Sensory Systems (99 citations), Physiology (44 citations), Molecular Biology (617 citations) and Psychiatry and Mental health (115 citations). Daniel Ursu has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include W. Melzer, Emanuele Sher, Birgit Liss, Dennis Kätzel, Wiebke Nissen, Bastiaan van der Veen, Anton Pekcec, Frank Lehmann‐Horn, Veit Flockerzi and Adjo Zorn. Their work appears in journals such as Scientific Reports, PLoS ONE, The Journal of Physiology, Molecular Pain and Biophysical Journal.

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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