Katherine S. Matho

35 total papers · 2.5k total citations
12 papers, 898 citations indexed

About

Katherine S. Matho is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Katherine S. Matho has authored 12 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biophysics, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Katherine S. Matho's work include Advanced Fluorescence Microscopy Techniques (4 papers), Cell Image Analysis Techniques (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Katherine S. Matho is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (4 papers), Cell Image Analysis Techniques (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Katherine S. Matho collaborates with scholars based in United States, France and Germany. Katherine S. Matho's co-authors include Jean Livet, Pierre Mahou, Karine Loulier, Willy Supatto, Emmanuel Beaurepaire, Xavier Morin, Z. Josh Huang, Justus M. Kebschull, Jesse Gillis and Yu-Chi Sun and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Katherine S. Matho

11 papers receiving 887 citations

Author Peers

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

Author Last Decade Papers Cites
Katherine S. Matho 411 254 213 166 127 12 898
Morgane Belle 443 1.1× 284 1.1× 187 0.9× 80 0.5× 121 1.0× 18 869
Takaaki Kuwajima 605 1.5× 278 1.1× 206 1.0× 115 0.7× 115 0.9× 20 1.0k
Henry Haeberle 399 1.0× 157 0.6× 77 0.4× 88 0.5× 143 1.1× 12 905
Melanie Richter 485 1.2× 479 1.9× 162 0.8× 185 1.1× 82 0.6× 25 1.0k
Marta Maglione 572 1.4× 354 1.4× 158 0.7× 75 0.5× 66 0.5× 23 1.1k
Friedrich Förstner 269 0.7× 515 2.0× 285 1.3× 59 0.4× 89 0.7× 9 936
Markus M. Hilscher 612 1.5× 324 1.3× 66 0.3× 171 1.0× 37 0.3× 30 1.0k
Nicolás Unsain 377 0.9× 375 1.5× 79 0.4× 164 1.0× 38 0.3× 27 871
Mengping Wei 442 1.1× 217 0.9× 106 0.5× 36 0.2× 68 0.5× 27 884
Wutian Wu 323 0.8× 361 1.4× 133 0.6× 310 1.9× 108 0.9× 17 1.0k

Countries citing papers authored by Katherine S. Matho

Since Specialization
Citations

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

Fields of papers citing papers by Katherine S. Matho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine S. Matho. 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 Katherine S. Matho. The network helps show where Katherine S. Matho may publish in the future.

Co-authorship network of co-authors of Katherine S. Matho

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026