Kathrin Gaßmann

915 citations
14 papers · 711 · h-index 11

Impact in

Papers in

Kathrin Gaßmann

14 papers receiving 692 citations

Peers

Kathrin Gaßmann
Comparison fields: 5 of 85
  • Developmental Neuroscience 231
  • Health, Toxicology and Mutagenesis 208
  • Small Animals 80
  • Cellular and Molecular Neuroscience 147
  • Cancer Research 69
Replace Timm Schreiber with:
Timm Schreiber Germany
Jason E. Cline Germany
Jyotshna Kanungo United States
Kristen Ryan United States
Ulrike Hübenthal Germany
Farina Bendt Germany
Florian Matt Germany
Stefan Masjosthusmann Germany
Diptiman D. Bose United States
Nobuya Imatanaka Japan
Kathrin Gaßmann relative to Timm Schreiber Germany Timm Schreiber's profile →
Citations per field
00.5×1.5×2.0×
Timm Schreiber · 1×
Citations per year

Countries citing papers authored by Kathrin Gaßmann

Since Specialization
Citations

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

Fields of papers citing papers by Kathrin Gaßmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kathrin Gaßmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kathrin Gaßmann Line = papers co-authored together Kathrin Gaßmann links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2009163
2 2009140
3 200984
4 201076
5 201565
6 201642
7 201438
8 201435
9 201133
10 201217
11 201811
12 20114
13 20102
14 20091

About Kathrin Gaßmann

Kathrin Gaßmann is a scholar working on Developmental Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Health, Toxicology and Mutagenesis and Pathology and Forensic Medicine, having authored 14 papers that have together received 711 indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Pluripotent Stem Cells Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Toxic Organic Pollutants Impact (3 papers), 3D Printing in Biomedical Research (2 papers), Tea Polyphenols and Effects (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Developmental Neuroscience (231 citations), Health, Toxicology and Mutagenesis (208 citations), Small Animals (80 citations), Cellular and Molecular Neuroscience (147 citations) and Cancer Research (69 citations). Kathrin Gaßmann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ellen Fritsche, Timm Schreiber, Josef Abel, Michaela Moors, Thomas Dino Rockel, Hans F. Merk, Jenny Baumann, Nicole Weinmann, Christine R. Rose and Jason E. Cline. Their work appears in journals such as Environmental Health Perspectives, Toxicology Letters, Archives of Toxicology, Toxicology in Vitro and Neurotoxicology and Teratology.

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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