Kai Diederich

1.7k total citations
47 papers, 1.2k citations indexed

About

Kai Diederich is a scholar working on Neurology, Small Animals and Developmental Neuroscience. According to data from OpenAlex, Kai Diederich has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Neurology, 11 papers in Small Animals and 9 papers in Developmental Neuroscience. Recurrent topics in Kai Diederich's work include Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Animal Behavior and Welfare Studies (10 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). Kai Diederich is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Animal Behavior and Welfare Studies (10 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). Kai Diederich collaborates with scholars based in Germany, United States and Austria. Kai Diederich's co-authors include Jens Minnerup, Wolf‐Rüdiger Schäbitz, Jan‐Kolja Strecker, Antje Schmidt, Matthias Schilling, Clemens Sommer, Wolf‐Rüdiger Schäbitz, Lars Lewejohann, Stefan Knecht and Michael Koch and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kai Diederich

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Diederich Germany 19 525 258 230 186 152 47 1.2k
Jana Vukovic Australia 18 593 1.1× 341 1.3× 449 2.0× 556 3.0× 155 1.0× 36 1.6k
Frances S. Cho United States 13 460 0.9× 345 1.3× 153 0.7× 208 1.1× 137 0.9× 17 1.1k
Tim Schallert United States 13 185 0.4× 386 1.5× 118 0.5× 201 1.1× 206 1.4× 13 972
Lauren Wood United States 12 391 0.7× 390 1.5× 592 2.6× 340 1.8× 88 0.6× 47 1.7k
Nagheme Thomas United States 10 267 0.5× 327 1.3× 183 0.8× 104 0.6× 94 0.6× 24 868
Noriyuki Higo Japan 20 334 0.6× 378 1.5× 156 0.7× 252 1.4× 105 0.7× 62 1.1k
Susana Monteiro Portugal 14 219 0.4× 238 0.9× 135 0.6× 203 1.1× 80 0.5× 31 973
Mario Buffelli Italy 22 299 0.6× 688 2.7× 203 0.9× 723 3.9× 88 0.6× 59 1.5k
Marco Cambiaghi Italy 19 370 0.7× 376 1.5× 102 0.4× 319 1.7× 55 0.4× 47 1.1k
Robert Cocke United States 8 190 0.4× 217 0.8× 111 0.5× 100 0.5× 109 0.7× 8 624

Countries citing papers authored by Kai Diederich

Since Specialization
Citations

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

Fields of papers citing papers by Kai Diederich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Diederich

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Diederich. A scholar is included among the top collaborators of Kai Diederich 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 Diederich. Kai Diederich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Beuker, Carolin, Jan‐Kolja Strecker, Antje Schmidt‐Pogoda, et al.. (2025). Ghrelin promotes neurologic recovery and neurogenesis in the chronic phase after experimental stroke. Neurological Research and Practice. 7(1). 14–14.
2.
Drude, Natascha, Stephan P. Rosshart, Andreas Diefenbach, et al.. (2024). A facility for laboratory mice with a natural microbiome at Charité – Universitätsmedizin Berlin. Lab Animal. 53(12). 351–354. 1 indexed citations
3.
Hohlbaum, Katharina, Benjamin Lang, Kai Diederich, et al.. (2024). Lockbox enrichment facilitates manipulative and cognitive activities for mice. SHILAP Revista de lepidopterología. 4. 108–108.
4.
Diederich, Kai, et al.. (2023). Development of an IntelliCage-based cognitive bias test for mice. SHILAP Revista de lepidopterología. 2. 128–128. 3 indexed citations
5.
Yorgan, Timur, et al.. (2023). Effects of more natural housing conditions on the muscular and skeletal characteristics of female C57BL/6J mice. SHILAP Revista de lepidopterología. 39(1). 9–9. 3 indexed citations
6.
Diederich, Kai, et al.. (2023). Rating enrichment items by female group-housed laboratory mice in multiple binary choice tests using an RFID-based tracking system. PLoS ONE. 18(1). e0278709–e0278709. 3 indexed citations
7.
Neves, Mariana, Fanny Knöspel, Ailine Stolz, et al.. (2023). Automatic classification of experimental models in biomedical literature to support searching for alternative methods to animal experiments. Journal of Biomedical Semantics. 14(1). 13–13. 2 indexed citations
8.
Diederich, Kai, et al.. (2022). A preliminary survey on the occurrence of barbering in laboratory mice in Germany. Animal Welfare. 31(4). 433–436. 6 indexed citations
9.
Diederich, Kai, et al.. (2022). A guide to open science practices for animal research. PLoS Biology. 20(9). e3001810–e3001810. 11 indexed citations
10.
Fischer‐Tenhagen, Carola, Céline Heinl, Katharina Hohlbaum, et al.. (2022). Bored at home?—A systematic review on the effect of environmental enrichment on the welfare of laboratory rats and mice. Frontiers in Veterinary Science. 9. 899219–899219. 19 indexed citations
11.
Diederich, Kai, et al.. (2018). Severity assessment from an animal’s point of view. Berliner und Münchener tierärztliche Wochenschrift. 131. 304–320. 10 indexed citations
12.
Diederich, Kai, Heike Wersching, Anja Teuber, et al.. (2017). Effects of Different Exercise Strategies and Intensities on Memory Performance and Neurogenesis. Frontiers in Behavioral Neuroscience. 11. 47–47. 47 indexed citations
15.
Minnerup, Jens, Daniel‐Christoph Wagner, Jan‐Kolja Strecker, et al.. (2014). Bone marrow-derived mononuclear cells do not exert acute neuroprotection after stroke in spontaneously hypertensive rats. Frontiers in Cellular Neuroscience. 7. 288–288. 17 indexed citations
16.
Diederich, Kai, Katrin Frauenknecht, Jens Minnerup, et al.. (2012). Citicoline Enhances Neuroregenerative Processes After Experimental Stroke in Rats. Stroke. 43(7). 1931–1940. 51 indexed citations
17.
Minnerup, Jens, Jeong Beom Kim, Antje Schmidt, et al.. (2011). Effects of Neural Progenitor Cells on Sensorimotor Recovery and Endogenous Repair Mechanisms After Photothrombotic Stroke. Stroke. 42(6). 1757–1763. 53 indexed citations
18.
Diederich, Kai, Lars Lewejohann, Rainer Klocke, et al.. (2009). The Role of Granulocyte-Colony Stimulating Factor (G-CSF) in the Healthy Brain: A Characterization of G-CSF-Deficient Mice. Journal of Neuroscience. 29(37). 11572–11581. 68 indexed citations
19.
Diederich, Kai, Jan‐Kolja Strecker, Matthias Schilling, et al.. (2009). Endogenous brain protection by granulocyte-colony stimulating factor after ischemic stroke. Experimental Neurology. 217(2). 328–335. 48 indexed citations
20.
Breitenstein, Caterina, et al.. (2006). Tonic Dopaminergic Stimulation Impairs Associative Learning in Healthy Subjects. Neuropsychopharmacology. 31(11). 2552–2564. 72 indexed citations

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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