Sebastian Thams

38 total papers · 2.6k total citations
29 papers, 1.6k citations indexed

About

Sebastian Thams is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology. According to data from OpenAlex, Sebastian Thams has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Neurology and 9 papers in Neurology. Recurrent topics in Sebastian Thams's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Nerve injury and regeneration (7 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). Sebastian Thams is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Nerve injury and regeneration (7 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). Sebastian Thams collaborates with scholars based in Sweden, United States and Brazil. Sebastian Thams's co-authors include Staffan Cullheim, Alexandre Leite Rodrigues de Oliveira, A Bergstrand, Klas Kärre, Aleksandra Trifunović, Mats I. Ekstrand, Nils‐Göran Larsson, Abdul H. Mohammed, Dagmar Galter and Fredrik Hansson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Sebastian Thams

28 papers receiving 1.6k citations

Author Peers

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

Author						Papers	Cites
Sebastian Thams	659	608	433	382	241	29	1.6k
Peter H. Larsen	433 0.7×	762 1.3×	319 0.7×	361 0.9×	362 1.5×	28	2.1k
Beata R. Frydel	751 1.1×	455 0.7×	348 0.8×	310 0.8×	121 0.5×	32	1.6k
H. Brent Clark	627 1.0×	414 0.7×	256 0.6×	224 0.6×	118 0.5×	30	1.4k
Carolanne E. Milligan	541 0.8×	1.0k 1.7×	193 0.4×	413 1.1×	206 0.9×	28	1.8k
Joanna Szmydynger‐Chodobska	525 0.8×	741 1.2×	675 1.6×	500 1.3×	132 0.5×	47	2.1k
Adam Chodobski	525 0.8×	741 1.2×	675 1.6×	500 1.3×	132 0.5×	48	2.1k
Carola Krüger	324 0.5×	518 0.9×	268 0.6×	464 1.2×	192 0.8×	21	1.5k
Ahmet Arac	328 0.5×	568 0.9×	299 0.7×	541 1.4×	166 0.7×	20	1.6k
Nadine Wilczak	381 0.6×	473 0.8×	341 0.8×	385 1.0×	177 0.7×	44	1.6k
Yiting Liu	415 0.6×	685 1.1×	335 0.8×	539 1.4×	256 1.1×	33	1.8k

Countries citing papers authored by Sebastian Thams

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Thams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Thams

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