Claudia Späni

19 total papers · 798 total citations
12 papers, 560 citations indexed

About

Claudia Späni is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Claudia Späni has authored 12 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Claudia Späni's work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Claudia Späni is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Claudia Späni collaborates with scholars based in Switzerland, United States and Germany. Claudia Späni's co-authors include Linda J. Van Eldik, David J. Braun, Roger M. Nitsch, Luka Kulic, Maria Teresa Ferretti, Tobias Welt, Tobias Suter, Gaby Enzmann, Mario Merlini and Jordan McAfoose and has published in prestigious journals such as Journal of Biological Chemistry, Science Translational Medicine and Molecular Psychiatry.

In The Last Decade

Claudia Späni

11 papers receiving 557 citations

Author Peers

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

Author						Papers	Cites
Claudia Späni	223	217	154	149	97	12	560
Margarita Zoga	204 0.9×	251 1.2×	127 0.8×	281 1.9×	75 0.8×	24	662
Jingwen Jiang	170 0.8×	331 1.5×	215 1.4×	86 0.6×	95 1.0×	8	690
Guangrui Luo	193 0.9×	153 0.7×	175 1.1×	106 0.7×	29 0.3×	9	560
Evelien Van Schoor	219 1.0×	126 0.6×	260 1.7×	147 1.0×	49 0.5×	16	514
Michelle Rothaug	233 1.0×	150 0.7×	174 1.1×	139 0.9×	64 0.7×	8	670
Javier María Peralta Ramos	124 0.6×	269 1.2×	170 1.1×	103 0.7×	92 0.9×	17	636
João Carlos Sousa	245 1.1×	194 0.9×	289 1.9×	81 0.5×	52 0.5×	14	682
Haruhiko Akiyama	320 1.4×	247 1.1×	218 1.4×	125 0.8×	46 0.5×	14	637
Vanessa D. Smith	216 1.0×	163 0.8×	190 1.2×	87 0.6×	27 0.3×	8	520
Ané Korff	222 1.0×	147 0.7×	233 1.5×	215 1.4×	45 0.5×	13	641

Countries citing papers authored by Claudia Späni

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Späni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Späni

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