Jan Kaslin

7.5k citations
85 papers · 5.5k · h-index 38

Impact in

Papers in

Jan Kaslin

83 papers receiving 5.4k citations

Peers

Jan Kaslin
Comparison fields: 5 of 137
  • Developmental Neuroscience 1.6k
  • Cell Biology 2.4k
  • Neurology 646
  • Endocrine and Autonomic Systems 416
  • Cellular and Molecular Neuroscience 1.1k
Replace Mario F. Wullimann with:
Mario F. Wullimann Germany
Marc Ekker Canada
Laure Bally‐Cuif France
Alessandra Pierani France
Judith S Eisen United States
Jovica Ninkovic Germany
Ramón Anadón Spain
Victor L. Friedrich United States
Harold Cremer France
Zhiping P. Pang United States
Jan Kaslin relative to Mario F. Wullimann Germany Mario F. Wullimann's profile →
Citations per field
00.5×1.6×
Mario F. Wullimann · 1×
Citations per year

Countries citing papers authored by Jan Kaslin

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kaslin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Kaslin, 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 Jan Kaslin Line = papers co-authored together Jan Kaslin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006453
2 2012406
3 2011346
4 2001331
5 2007282
6 2011267
7 2004223
8 2003171
9 2009165
10 2008156
11 2009148
12 2011128
13 2002114
14 2010111
15 2012111
16 2009100
17 200392
18 201790
19 201084
20 201381

About Jan Kaslin

Jan Kaslin is a scholar working on Cell Biology, Molecular Biology, Developmental Neuroscience, Cancer Research and Cellular and Molecular Neuroscience, having authored 85 papers that have together received 5.5k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (42 papers), Neurogenesis and neuroplasticity mechanisms (18 papers), MicroRNA in disease regulation (12 papers), Congenital heart defects research (9 papers), Mast cells and histamine (9 papers), 3D Printing in Biomedical Research (8 papers), Circadian rhythm and melatonin (7 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). The work is most often cited by research in Developmental Neuroscience (1.6k citations), Cell Biology (2.4k citations), Neurology (646 citations), Endocrine and Autonomic Systems (416 citations) and Cellular and Molecular Neuroscience (1.1k citations). Jan Kaslin has collaborated with scholars based in Australia, Germany and Finland. Frequent co-authors include Michael Brand, Pertti Panula, Julia Ganz, Volker Kroehne, Dorian Freudenreich, Stefan Hans, Nina Peitsaro, Çağhan Kızıl, Heiner Grandel and Oleg Anichtchik. Their work appears in journals such as Journal of Neurochemistry, PLoS ONE, Zebrafish, Scientific Reports and Developmental Cell.

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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