Kai Siebenbrodt

29 total papers · 819 total citations
12 papers, 215 citations indexed

About

Kai Siebenbrodt is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kai Siebenbrodt has authored 12 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Psychiatry and Mental health, 6 papers in Pediatrics, Perinatology and Child Health and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kai Siebenbrodt's work include Epilepsy research and treatment (8 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Kai Siebenbrodt is often cited by papers focused on Epilepsy research and treatment (8 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Kai Siebenbrodt collaborates with scholars based in Germany, Switzerland and Denmark. Kai Siebenbrodt's co-authors include Felix Rosenow, Adam Strzelczyk, Laurent M. Willems, Ricardo Kienitz, Jan-Hendrik Schäfer, Sophie von Brauchitsch, Lara Kay, Sarah Gelhard, Felix von Podewils and Juliane Schulz and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Neurochemistry.

In The Last Decade

Kai Siebenbrodt

9 papers receiving 211 citations

Author Peers

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

Author						Papers	Cites
Kai Siebenbrodt	133	89	50	28	20	12	215
Leonor Cabral‐Lim	149 1.1×	100 1.1×	68 1.4×	25 0.9×	21 1.1×	14	231
Yanru Du	103 0.8×	78 0.9×	33 0.7×	29 1.0×	14 0.7×	21	230
A. F. Heeley	107 0.8×	105 1.2×	19 0.4×	29 1.0×	14 0.7×	13	228
Landon Ashby	78 0.6×	65 0.7×	37 0.7×	15 0.5×	35 1.8×	16	193
Luca Zagaroli	109 0.8×	75 0.8×	52 1.0×	44 1.6×	11 0.6×	13	199
Carmela Salladini	164 1.2×	99 1.1×	79 1.6×	14 0.5×	27 1.4×	20	304
Е И Гусев	168 1.3×	143 1.6×	33 0.7×	30 1.1×	22 1.1×	14	330
Remi Stevelink	173 1.3×	85 1.0×	50 1.0×	61 2.2×	18 0.9×	15	298
Monica Lodi	113 0.8×	67 0.8×	38 0.8×	42 1.5×	17 0.8×	15	229
G.S. Umamaheswara Rao	100 0.8×	65 0.7×	63 1.3×	11 0.4×	53 2.6×	10	172

Countries citing papers authored by Kai Siebenbrodt

Since Specialization

Citations

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

Fields of papers citing papers by Kai Siebenbrodt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Siebenbrodt

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