Angelika Seitz

81 total papers · 1.9k total citations
46 papers, 1.1k citations indexed

About

Angelika Seitz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Angelika Seitz has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Angelika Seitz's work include Metabolism and Genetic Disorders (9 papers), Mitochondrial Function and Pathology (9 papers) and Cerebrospinal fluid and hydrocephalus (8 papers). Angelika Seitz is often cited by papers focused on Metabolism and Genetic Disorders (9 papers), Mitochondrial Function and Pathology (9 papers) and Cerebrospinal fluid and hydrocephalus (8 papers). Angelika Seitz collaborates with scholars based in Germany, United States and Netherlands. Angelika Seitz's co-authors include D. Rating, Inga Harting, Stefan Kölker, Thomas Bast, Nikolas Boy, Georgia Ramantani, Eva Neumaier‐Probst, Jana Herınger, André Rupp and Michael Scherg and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain.

In The Last Decade

Angelika Seitz

39 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Angelika Seitz 434 312 235 210 190 46 1.1k
Christine Soufflet 298 0.7× 189 0.6× 492 2.1× 171 0.8× 181 1.0× 48 1.5k
A. Fois 397 0.9× 161 0.5× 280 1.2× 104 0.5× 226 1.2× 79 1.3k
G Kurlemann 399 0.9× 158 0.5× 626 2.7× 186 0.9× 250 1.3× 40 1.4k
Cengiz Yalçınkaya 469 1.1× 147 0.5× 200 0.9× 80 0.4× 154 0.8× 79 1.2k
Bernd Wilken 345 0.8× 88 0.3× 146 0.6× 118 0.6× 96 0.5× 37 1.0k
Yong Seung Hwang 549 1.3× 190 0.6× 365 1.6× 71 0.3× 213 1.1× 89 1.3k
Michael A. Nigro 617 1.4× 175 0.6× 180 0.8× 112 0.5× 210 1.1× 36 1.4k
Maria T. Acosta 386 0.9× 135 0.4× 269 1.1× 332 1.6× 253 1.3× 62 1.3k
Maria Cristina Bianchi 414 1.0× 463 1.5× 69 0.3× 81 0.4× 90 0.5× 41 1.2k
Takashi Mito 438 1.0× 160 0.5× 85 0.4× 77 0.4× 150 0.8× 53 1.4k

Countries citing papers authored by Angelika Seitz

Since Specialization
Citations

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

Fields of papers citing papers by Angelika Seitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelika Seitz

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