Janine Kutzsche

81 total papers · 901 total citations
46 papers, 666 citations indexed

About

Janine Kutzsche is a scholar working on Physiology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Janine Kutzsche has authored 46 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Physiology, 17 papers in Molecular Biology and 14 papers in Computational Theory and Mathematics. Recurrent topics in Janine Kutzsche's work include Alzheimer's disease research and treatments (34 papers), Computational Drug Discovery Methods (14 papers) and Cholinesterase and Neurodegenerative Diseases (11 papers). Janine Kutzsche is often cited by papers focused on Alzheimer's disease research and treatments (34 papers), Computational Drug Discovery Methods (14 papers) and Cholinesterase and Neurodegenerative Diseases (11 papers). Janine Kutzsche collaborates with scholars based in Germany, United States and Netherlands. Janine Kutzsche's co-authors include Dieter Willbold, Antje Willuweit, Tamar Ziehm, Markus Tusche, Karl‐Josef Langen, Lothar Gremer, N. Jon Shah, Oleksandr Brener, Dagmar Jürgens and Luitgard Nagel‐Steger and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Janine Kutzsche

45 papers receiving 663 citations

Author Peers

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

Author Last Decade Papers Cites
Janine Kutzsche 416 379 137 123 76 46 666
Stephan Schilling 328 0.8× 287 0.8× 73 0.5× 85 0.7× 78 1.0× 44 660
Sungsu Lim 338 0.8× 274 0.7× 66 0.5× 111 0.9× 33 0.4× 38 672
Ann Tiiman 592 1.4× 374 1.0× 136 1.0× 111 0.9× 94 1.2× 24 792
Paolo De Bona 503 1.2× 312 0.8× 120 0.9× 160 1.3× 59 0.8× 16 662
Francesco Attanasio 373 0.9× 353 0.9× 67 0.5× 79 0.6× 84 1.1× 48 775
Joanne M. Caine 257 0.6× 314 0.8× 89 0.6× 128 1.0× 88 1.2× 22 597
Jason Lin 240 0.6× 413 1.1× 53 0.4× 78 0.6× 49 0.6× 55 779
Pia Carlo 325 0.8× 307 0.8× 53 0.4× 74 0.6× 51 0.7× 28 604
Ann‐Christin Brorsson 444 1.1× 391 1.0× 101 0.7× 128 1.0× 32 0.4× 27 692
Ryan Limbocker 365 0.9× 382 1.0× 109 0.8× 81 0.7× 18 0.2× 26 714

Countries citing papers authored by Janine Kutzsche

Since Specialization
Citations

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

Fields of papers citing papers by Janine Kutzsche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janine Kutzsche

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