Alex T. Kalinka

2.0k total citations
19 papers, 1.3k citations indexed

About

Alex T. Kalinka is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Alex T. Kalinka has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Alex T. Kalinka's work include Animal Behavior and Reproduction (6 papers), Bioinformatics and Genomic Networks (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Alex T. Kalinka is often cited by papers focused on Animal Behavior and Reproduction (6 papers), Bioinformatics and Genomic Networks (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Alex T. Kalinka collaborates with scholars based in Germany, Austria and United Kingdom. Alex T. Kalinka's co-authors include Pavel Tomančák, Iva Kelava, Patricia Heyn, Karla M. Neugebauer, Dave T. Gerrard, Wieland Β. Huttner, David L. Corcoran, Casey Bergman, Stephan Preibisch and Uwe Ohler and has published in prestigious journals such as Nature, Bioinformatics and Trends in Ecology & Evolution.

In The Last Decade

Alex T. Kalinka

19 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alex T. Kalinka Germany 14 815 317 176 124 114 19 1.3k
Katja Nowick Germany 16 1.0k 1.2× 457 1.4× 66 0.4× 176 1.4× 134 1.2× 37 1.4k
Laurence Ettwiller United States 22 2.0k 2.4× 479 1.5× 296 1.7× 297 2.4× 274 2.4× 49 2.5k
Bettina Fischer United Kingdom 16 681 0.8× 166 0.5× 39 0.2× 135 1.1× 37 0.3× 36 1.1k
Constance M. Smith United States 15 494 0.6× 202 0.6× 259 1.5× 124 1.0× 68 0.6× 24 1.3k
Juan J. Tena Spain 24 1.7k 2.1× 418 1.3× 50 0.3× 331 2.7× 139 1.2× 56 2.0k
Connie Cepko United States 11 1.2k 1.4× 194 0.6× 144 0.8× 45 0.4× 69 0.6× 13 1.5k
Benjamin Vernot United States 20 1.4k 1.7× 1.3k 4.2× 67 0.4× 328 2.6× 93 0.8× 26 2.9k
Alexander Aulehla Germany 18 2.3k 2.8× 376 1.2× 42 0.2× 241 1.9× 96 0.8× 23 2.6k
John R. Nambu United States 22 1.5k 1.9× 404 1.3× 83 0.5× 178 1.4× 153 1.3× 38 2.1k
David A. Keays Austria 19 552 0.7× 296 0.9× 110 0.6× 73 0.6× 25 0.2× 38 1.4k

Countries citing papers authored by Alex T. Kalinka

Since Specialization
Citations

This map shows the geographic impact of Alex T. Kalinka'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 Alex T. Kalinka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex T. Kalinka more than expected).

Fields of papers citing papers by Alex T. Kalinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex T. Kalinka. 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 Alex T. Kalinka. The network helps show where Alex T. Kalinka may publish in the future.

Co-authorship network of co-authors of Alex T. Kalinka

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

All Works

19 of 19 papers shown
1.
Łukasiak, Sebastian, Alex T. Kalinka, Nikhil Gupta, et al.. (2025). A benchmark comparison of CRISPRn guide-RNA design algorithms and generation of small single and dual-targeting libraries to boost screening efficiency. BMC Genomics. 26(1). 198–198. 3 indexed citations
2.
Kelava, Iva, Ilaria Chiaradia, Laura Pellegrini, Alex T. Kalinka, & Madeline A. Lancaster. (2022). Androgens increase excitatory neurogenic potential in human brain organoids. Nature. 602(7895). 112–116. 59 indexed citations
4.
Horváth, Barbara, Andrea J. Betancourt, & Alex T. Kalinka. (2016). A novel method for quantifying the rate of embryogenesis uncovers considerable genetic variation for the duration of embryonic development in Drosophila melanogaster. BMC Evolutionary Biology. 16(1). 200–200. 8 indexed citations
5.
Horváth, Barbara & Alex T. Kalinka. (2016). Effects of larval crowding on quantitative variation for development time and viability in Drosophila melanogaster. Ecology and Evolution. 6(23). 8460–8473. 29 indexed citations
6.
Kalinka, Alex T.. (2015). How did viviparity originate and evolve? Of conflict, co‐option, and cryptic choice. BioEssays. 37(7). 721–731. 19 indexed citations
7.
Jambor, Helena, et al.. (2015). Systematic imaging reveals features and changing localization of mRNAs in Drosophila development. eLife. 4. 107 indexed citations
8.
Lewitus, Éric, Iva Kelava, Alex T. Kalinka, Pavel Tomančák, & Wieland Β. Huttner. (2014). An Adaptive Threshold in Mammalian Neocortical Evolution. PLoS Biology. 12(11). e1002000–e1002000. 105 indexed citations
9.
Heyn, Patricia, Martin Kircher, Andreas Dahl, et al.. (2014). The Earliest Transcribed Zygotic Genes Are Short, Newly Evolved, and Different across Species. Cell Reports. 6(2). 285–292. 152 indexed citations
10.
Kalinka, Alex T.. (2014). Towards an ecological understanding of morphological evolution. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 324(4). 383–392. 1 indexed citations
11.
Heyn, Patricia, Alex T. Kalinka, Pavel Tomančák, & Karla M. Neugebauer. (2014). Introns and gene expression: Cellular constraints, transcriptional regulation, and evolutionary consequences. BioEssays. 37(2). 148–154. 76 indexed citations
12.
Lewitus, Éric & Alex T. Kalinka. (2013). Neocortical development as an evolutionary platform for intragenomic conflict. Frontiers in Neuroanatomy. 7. 2–2. 8 indexed citations
13.
Nagarajan, Radhakrishnan, Alex T. Kalinka, & William R. Hogan. (2012). Evidence of community structure in Biomedical Research Grant Collaborations. Journal of Biomedical Informatics. 46(1). 40–46. 25 indexed citations
14.
Kalinka, Alex T. & Pavel Tomančák. (2012). The evolution of early animal embryos: conservation or divergence?. Trends in Ecology & Evolution. 27(7). 385–393. 89 indexed citations
15.
Gerrard, Dave T., et al.. (2012). An Excess of Gene Expression Divergence on the X Chromosome in Drosophila Embryos: Implications for the Faster-X Hypothesis. PLoS Genetics. 8(12). e1003200–e1003200. 29 indexed citations
16.
Kelava, Iva, Isabel Reillo, Ayako Murayama, et al.. (2011). Abundant Occurrence of Basal Radial Glia in the Subventricular Zone of Embryonic Neocortex of a Lissencephalic Primate, the Common Marmoset Callithrix jacchus. Cerebral Cortex. 22(2). 469–481. 159 indexed citations
17.
Kalinka, Alex T. & Pavel Tomančák. (2011). linkcomm: an R package for the generation, visualization, and analysis of link communities in networks of arbitrary size and type. Bioinformatics. 27(14). 2011–2012. 89 indexed citations
18.
Kalinka, Alex T., Dave T. Gerrard, Stephan Preibisch, et al.. (2010). Gene expression divergence recapitulates the developmental hourglass model. Nature. 468(7325). 811–814. 276 indexed citations
19.
Gardner, Andy & Alex T. Kalinka. (2006). Recombination and the evolution of mutational robustness. Journal of Theoretical Biology. 241(4). 707–715. 25 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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