Michael Saina

974 total citations
8 papers, 678 citations indexed

About

Michael Saina is a scholar working on Molecular Biology, Paleontology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael Saina has authored 8 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Paleontology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael Saina's work include Marine Invertebrate Physiology and Ecology (5 papers), Planarian Biology and Electrostimulation (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Michael Saina is often cited by papers focused on Marine Invertebrate Physiology and Ecology (5 papers), Planarian Biology and Electrostimulation (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Michael Saina collaborates with scholars based in Norway, Switzerland and Germany. Michael Saina's co-authors include Ulrich Technau, Thomas W. Holstein, Jens H. Fritzenwanker, Fabian Rentzsch, Eduard Renfer, Grigory Genikhovich, Richard Benton, David J. Miller, Eldon E. Ball and Stephen Rudd and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Developmental Biology.

In The Last Decade

Michael Saina

8 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Saina Norway 8 381 348 243 146 111 8 678
Eduard Renfer Norway 7 422 1.1× 400 1.1× 258 1.1× 105 0.7× 55 0.5× 9 653
Michael J. Layden United States 18 416 1.1× 545 1.6× 266 1.1× 230 1.6× 160 1.4× 26 974
Michael Kroiher Germany 15 275 0.7× 296 0.9× 154 0.6× 109 0.7× 73 0.7× 28 703
R. Travis Moreland United States 10 360 0.9× 427 1.2× 133 0.5× 60 0.4× 80 0.7× 15 706
Stefan Siebert United States 17 522 1.4× 548 1.6× 249 1.0× 186 1.3× 40 0.4× 23 1.1k
Jens H. Fritzenwanker United States 11 439 1.2× 496 1.4× 327 1.3× 123 0.8× 58 0.5× 13 820
Alexandre Alié France 13 372 1.0× 292 0.8× 325 1.3× 79 0.5× 54 0.5× 21 676
David K. Simmons United States 8 426 1.1× 406 1.2× 154 0.6× 60 0.4× 125 1.1× 8 710
Pierre Kerner France 17 161 0.4× 621 1.8× 181 0.7× 88 0.6× 112 1.0× 21 931
Bryony Fahey Australia 10 256 0.7× 657 1.9× 249 1.0× 123 0.8× 75 0.7× 10 1.1k

Countries citing papers authored by Michael Saina

Since Specialization
Citations

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

Fields of papers citing papers by Michael Saina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Saina

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

All Works

8 of 8 papers shown
1.
Cruchet, Steeve, et al.. (2022). Pheromone sensing in Drosophila requires support cell-expressed Osiris 8. BMC Biology. 20(1). 230–230. 12 indexed citations
2.
Saina, Michael, Henriette Busengdal, Chiara Sinigaglia, et al.. (2015). A cnidarian homologue of an insect gustatory receptor functions in developmental body patterning. Nature Communications. 6(1). 6243–6243. 43 indexed citations
3.
Saina, Michael & Richard Benton. (2013). Visualizing Olfactory Receptor Expression and Localization in Drosophila. Methods in molecular biology. 1003. 211–228. 31 indexed citations
4.
Saina, Michael & Ulrich Technau. (2009). Characterization of myostatin/gdf8/11 in the starlet sea anemone Nematostella vectensis. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 312B(7). 780–788. 17 indexed citations
5.
Saina, Michael, Grigory Genikhovich, Eduard Renfer, & Ulrich Technau. (2009). BMPs and Chordin regulate patterning of the directive axis in a sea anemone. Proceedings of the National Academy of Sciences. 106(44). 18592–18597. 95 indexed citations
6.
Rentzsch, Fabian, Roman Anton, Michael Saina, et al.. (2006). Asymmetric expression of the BMP antagonists chordin and gremlin in the sea anemone Nematostella vectensis: Implications for the evolution of axial patterning. Developmental Biology. 296(2). 375–387. 115 indexed citations
7.
Technau, Ulrich, Stephen Rudd, Alexander P. Maxwell, et al.. (2005). Maintenance of ancestral complexity and non-metazoan genes in two basal cnidarians. Trends in Genetics. 21(12). 633–639. 247 indexed citations
8.
Fritzenwanker, Jens H., Michael Saina, & Ulrich Technau. (2004). Analysis of forkhead and snail expression reveals epithelial–mesenchymal transitions during embryonic and larval development of Nematostella vectensis. Developmental Biology. 275(2). 389–402. 118 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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