Henrik Kaessmann

16.3k total citations · 7 hit papers
67 papers, 9.4k citations indexed

About

Henrik Kaessmann is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Henrik Kaessmann has authored 67 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 29 papers in Genetics and 23 papers in Plant Science. Recurrent topics in Henrik Kaessmann's work include Chromosomal and Genetic Variations (23 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers) and Genomics and Chromatin Dynamics (16 papers). Henrik Kaessmann is often cited by papers focused on Chromosomal and Genetic Variations (23 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers) and Genomics and Chromatin Dynamics (16 papers). Henrik Kaessmann collaborates with scholars based in Switzerland, Germany and United States. Henrik Kaessmann's co-authors include Svante Pääbo, Nicolas Vinckenbosch, Anamaria Necşulea, Max Ingman, Ulf Gyllensten, Angélica Liechti, David Brawand, Magali Soumillon, Frank Grützner and Maria Warnefors and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Henrik Kaessmann

64 papers receiving 9.3k citations

Hit Papers

Mitochondrial genome variation and the origin of modern h... 2000 2026 2008 2017 2000 2011 2014 2010 2010 250 500 750

Peers

Henrik Kaessmann
Jonathan Hodgkin United Kingdom
Judith Kimble United States
Alec J. Jeffreys United Kingdom
Haifan Lin United States
Stephan Wolf Germany
Ruth Lehmann United States
Jonathan Hodgkin United Kingdom
Henrik Kaessmann
Citations per year, relative to Henrik Kaessmann Henrik Kaessmann (= 1×) peers Jonathan Hodgkin

Countries citing papers authored by Henrik Kaessmann

Since Specialization
Citations

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

Fields of papers citing papers by Henrik Kaessmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henrik Kaessmann

This figure shows the co-authorship network connecting the top 25 collaborators of Henrik Kaessmann. A scholar is included among the top collaborators of Henrik Kaessmann 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 Henrik Kaessmann. Henrik Kaessmann 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.
Salisbury, Sarah J., Paula R. Villamayor, Francesco Lamanna, et al.. (2025). A single-nucleus RNA sequencing atlas of the postnatal retina of the shark Scyliorhinus canicula. Scientific Data. 12(1). 228–228.
2.
Oomen, Marlies E., Diego Rodriguez‐Terrones, Mayuko Kurome, et al.. (2025). An atlas of transcription initiation reveals regulatory principles of gene and transposable element expression in early mammalian development. Cell. 188(4). 1156–1174.e20. 16 indexed citations
3.
Ovchinnikova, Svetlana, et al.. (2023). Sex-biased gene expression across mammalian organ development and evolution. Science. 382(6670). eadf1046–eadf1046. 39 indexed citations
4.
Mazin, Pavel, Philipp Khaitovich, Margarida Cardoso-Moreira, & Henrik Kaessmann. (2021). Alternative splicing during mammalian organ development. Nature Genetics. 53(6). 925–934. 95 indexed citations
5.
Gruhl, Franziska, Peggy Janich, Henrik Kaessmann, & David Gatfield. (2021). Circular RNA repertoires are associated with evolutionarily young transposable elements. eLife. 10. 23 indexed citations
6.
Sarropoulos, Ioannis, Mari Sepp, Kevin Leiss, et al.. (2021). Developmental and evolutionary dynamics of cis-regulatory elements in mouse cerebellar cells. Science. 373(6558). 43 indexed citations
7.
Bengtson, C. Peter, Ursula Weiß, Andrea Hellwig, et al.. (2021). N-methyl-d-aspartate Receptor-mediated Preconditioning Mitigates Excitotoxicity in Human Induced Pluripotent Stem Cell-derived Brain Organoids. Neuroscience. 484. 83–97. 10 indexed citations
8.
Ullate‐Agote, Asier, Ingrid Burgelin, Jean Daraspe, et al.. (2020). Genome mapping of a LYST mutation in corn snakes indicates that vertebrate chromatophore vesicles are lysosome-related organelles. Proceedings of the National Academy of Sciences. 117(42). 26307–26317. 33 indexed citations
9.
Wang, Zhongyi, Evgeny Leushkin, Angélica Liechti, et al.. (2020). Transcriptome and translatome co-evolution in mammals. Nature. 588(7839). 642–647. 109 indexed citations
10.
Marín, Ray M., Diego Cortez, Francesco Lamanna, et al.. (2017). Convergent origination of aDrosophila-like dosage compensation mechanism in a reptile lineage. Genome Research. 27(12). 1974–1987. 65 indexed citations
11.
Hayakawa, Takashi, et al.. (2016). The life history of retrocopies illuminates the evolution of new mammalian genes. Genome Research. 26(3). 301–314. 85 indexed citations
12.
Necşulea, Anamaria & Henrik Kaessmann. (2014). Evolutionary dynamics of coding and non-coding transcriptomes. Nature Reviews Genetics. 15(11). 734–748. 161 indexed citations
13.
Soumillon, Magali, Anamaria Necşulea, Manuela Weier, et al.. (2013). Cellular Source and Mechanisms of High Transcriptome Complexity in the Mammalian Testis. Cell Reports. 3(6). 2179–2190. 419 indexed citations breakdown →
14.
Meunier, Julien, Frédéric Lemoine, Magali Soumillon, et al.. (2012). Birth and expression evolution of mammalian microRNA genes. Genome Research. 23(1). 34–45. 223 indexed citations
15.
Julien, P., David Brawand, Magali Soumillon, et al.. (2012). Mechanisms and Evolutionary Patterns of Mammalian and Avian Dosage Compensation. PLoS Biology. 10(5). e1001328–e1001328. 156 indexed citations
16.
Romero, Yannick, Oliver Meikar, Marilena D. Papaioannou, et al.. (2011). Dicer1 Depletion in Male Germ Cells Leads to Infertility Due to Cumulative Meiotic and Spermiogenic Defects. PLoS ONE. 6(10). e25241–e25241. 125 indexed citations
17.
Kaessmann, Henrik. (2010). Origins, evolution, and phenotypic impact of new genes. Genome Research. 20(10). 1313–1326. 570 indexed citations breakdown →
18.
Vinckenbosch, Nicolas, Isabelle Dupanloup, & Henrik Kaessmann. (2006). Evolutionary fate of retroposed gene copies in the human genome. Proceedings of the National Academy of Sciences. 103(9). 3220–3225. 286 indexed citations
19.
Ortiz, Millán, Gabriela Bleiber, Raquel Martínez, Henrik Kaessmann, & Amalio Telenti. (2006). Patterns of evolution of host proteins involved in retroviral pathogenesis. Retrovirology. 3(1). 11–11. 40 indexed citations
20.
Kaessmann, Henrik, Sebastian Zöllner, Anton Nekrutenko, & Wen‐Hsiung Li. (2002). Signatures of Domain Shuffling in the Human Genome. Genome Research. 12(11). 1642–1650. 76 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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