Susanna Fürst

2.6k citations
84 papers · 2.1k indexed · h-index 28
Topics
Neuropeptides and Animal Physiology (38 papers)Pain Mechanisms and Treatments (37 papers)Pharmacological Receptor Mechanisms and Effects (22 papers)
Partner nations
HungaryGermanyAustria

In The Last Decade

Susanna Fürst

84 papers receiving 2.1k citations

Peers

Susanna Fürst
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 960
  • Molecular Biology 802
  • Physiology 786
  • Pharmacology 277
  • Physiology 252
Replace Toshihiro Dohi with:
Toshihiro Dohi Japan
Ida Marabese Italy
Claes Post Sweden
G. Hertting Germany
Héctor Isaac Rocha‐González Mexico
Maciej Gąsior United States
Vinicio Granados‐Soto Mexico
I.K. Ho United States
Pao‐Luh Tao Taiwan
Tayfun Uzbay Türkiye
Susanna Fürst relative to Toshihiro Dohi Japan Toshihiro Dohi's profile →
Citations per field
00.5×1.5×2.3×
Toshihiro Dohi · 1×
Citations per year

Countries citing papers authored by Susanna Fürst

Since Specialization
Citations

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

Fields of papers citing papers by Susanna Fürst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanna Fürst

This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Fürst. A scholar is included among the top collaborators of Susanna Fürst 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 Susanna Fürst. Susanna Fürst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 4
4 5
5 18
6 12
7 22
8 6
9 23
10 32
11 19
12 29
13 12
14 33
15 36
16 106
17 50
18 40
19 11
20 16

About Susanna Fürst

Susanna Fürst is a scholar working on Cellular and Molecular Neuroscience, Physiology and Physiology, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (38 papers), Pain Mechanisms and Treatments (37 papers) and Pharmacological Receptor Mechanisms and Effects (22 papers). The work is most often cited by research in Physiology (252 citations), Cellular and Molecular Neuroscience (960 citations) and Physiology (786 citations). Susanna Fürst has collaborated with scholars based in Hungary, Germany and Austria. Frequent co-authors include Pál Pacher, Valéria Kecskeméti, Mahmoud Al‐Khrasani, Péter Illés, Pál Riba, Zoltán Ungvári, László Köles, Sándor Hosztafi, Eva Kohegyi and Michael Schäfer. Their work appears in journals such as Journal of Neuroscience, The FASEB Journal and International Journal of Molecular Sciences.

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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