Susanne Gruber

77 total papers · 1.5k total citations
43 papers, 1.3k citations indexed

About

Susanne Gruber is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Susanne Gruber has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 12 papers in Behavioral Neuroscience. Recurrent topics in Susanne Gruber's work include Neuropeptides and Animal Physiology (18 papers), Stress Responses and Cortisol (12 papers) and Receptor Mechanisms and Signaling (12 papers). Susanne Gruber is often cited by papers focused on Neuropeptides and Animal Physiology (18 papers), Stress Responses and Cortisol (12 papers) and Receptor Mechanisms and Signaling (12 papers). Susanne Gruber collaborates with scholars based in Sweden, Italy and Austria. Susanne Gruber's co-authors include Aleksander A. Mathé, Aram El Khoury, Francesco Angelucci, Arne Mørk, Luigi Aloe, George G. Nomikos, Ricardo De Matos Simoes, Tamara Zoranovic, Shane J. F. Cronin and Josef Penninger and has published in prestigious journals such as Science, Brain Research and Journal of Neurochemistry.

In The Last Decade

Susanne Gruber

42 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Susanne Gruber 584 391 303 213 166 43 1.3k
J Borycz 644 1.1× 448 1.1× 146 0.5× 68 0.3× 125 0.8× 47 1.1k
Taku Yamaguchi 709 1.2× 421 1.1× 258 0.9× 212 1.0× 129 0.8× 67 1.5k
Dhanisha J. Jhaveri 538 0.9× 479 1.2× 164 0.5× 55 0.3× 118 0.7× 31 1.4k
Asunción Rocher 211 0.4× 649 1.7× 168 0.6× 108 0.5× 84 0.5× 73 1.8k
María Dolores Moltó 795 1.4× 902 2.3× 189 0.6× 147 0.7× 114 0.7× 61 1.8k
Daisuke Kato 445 0.8× 269 0.7× 119 0.4× 122 0.6× 156 0.9× 48 1.7k
Francisco J. Monje 580 1.0× 751 1.9× 341 1.1× 188 0.9× 283 1.7× 49 1.7k
Laurence Coutellier 465 0.8× 275 0.7× 502 1.7× 341 1.6× 324 2.0× 36 1.5k
Iustin V. Tabarean 621 1.1× 576 1.5× 59 0.2× 95 0.4× 84 0.5× 31 1.6k
Margarita Moreno 605 1.0× 187 0.5× 133 0.4× 220 1.0× 99 0.6× 57 1.2k

Countries citing papers authored by Susanne Gruber

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Gruber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Gruber

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