Marc F. Schetelig

2.4k total citations
68 papers, 1.3k citations indexed

About

Marc F. Schetelig is a scholar working on Insect Science, Molecular Biology and Genetics. According to data from OpenAlex, Marc F. Schetelig has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Insect Science, 52 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Marc F. Schetelig's work include Insect behavior and control techniques (45 papers), CRISPR and Genetic Engineering (35 papers) and Insect Resistance and Genetics (35 papers). Marc F. Schetelig is often cited by papers focused on Insect behavior and control techniques (45 papers), CRISPR and Genetic Engineering (35 papers) and Insect Resistance and Genetics (35 papers). Marc F. Schetelig collaborates with scholars based in Germany, United States and Austria. Marc F. Schetelig's co-authors include Alfred M. Handler, Ernst A. Wimmer, Ying Yan, Francesca Scolari, Gérald Franz, Christian Ogaugwu, Giuliano Gasperi, Kostas Bourtzis, Carlos Cáceres and Antigone Zacharopoulou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Marc F. Schetelig

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc F. Schetelig Germany 20 1.0k 842 151 130 113 68 1.3k
Neil I. Morrison United Kingdom 15 647 0.6× 678 0.8× 160 1.1× 109 0.8× 94 0.8× 27 935
Omaththage P. Perera United States 20 774 0.8× 823 1.0× 211 1.4× 395 3.0× 89 0.8× 76 1.2k
Ioannis Livadaras Greece 16 605 0.6× 626 0.7× 143 0.9× 214 1.6× 96 0.8× 24 1.0k
Aditi Singh Germany 9 416 0.4× 678 0.8× 76 0.5× 262 2.0× 71 0.6× 20 811
Antigone Zacharopoulou Greece 20 832 0.8× 640 0.8× 157 1.0× 197 1.5× 36 0.3× 53 1.1k
Keshava Mysore United States 16 372 0.4× 441 0.5× 152 1.0× 95 0.7× 150 1.3× 33 672
Brian Lovett United States 13 587 0.6× 336 0.4× 103 0.7× 303 2.3× 42 0.4× 34 759
Agata Jakubowska Spain 16 508 0.5× 505 0.6× 77 0.5× 184 1.4× 28 0.2× 32 754
Robert H. Hice United States 16 329 0.3× 691 0.8× 192 1.3× 286 2.2× 81 0.7× 28 882
Niels Wynant Belgium 17 457 0.4× 775 0.9× 109 0.7× 265 2.0× 23 0.2× 25 953

Countries citing papers authored by Marc F. Schetelig

Since Specialization
Citations

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

Fields of papers citing papers by Marc F. Schetelig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc F. Schetelig. 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 Marc F. Schetelig. The network helps show where Marc F. Schetelig may publish in the future.

Co-authorship network of co-authors of Marc F. Schetelig

This figure shows the co-authorship network connecting the top 25 collaborators of Marc F. Schetelig. A scholar is included among the top collaborators of Marc F. Schetelig 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 Marc F. Schetelig. Marc F. Schetelig 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.
Yan, Ying, Jing Zhao, Jonas Schwirz, et al.. (2025). The transformer gene controls sexual development in Drosophila suzukii. Insect Science. 1 indexed citations
2.
Gregoriou, Maria‐Eleni, et al.. (2025). Decoding and engineering temperature-sensitive lethality in Ceratitis capitata for pest control. Proceedings of the National Academy of Sciences. 122(28). e2503604122–e2503604122. 4 indexed citations
3.
Gregoriou, Maria‐Eleni, et al.. (2025). Neoclassical development of genetic sexing strains for insect pest and disease vector control. Insect Science. 1 indexed citations
4.
5.
Krsticevic, Flávia, et al.. (2025). Mosquito sex separation using complementation of selectable traits and engineered neo-sex chromosomes. Nature Communications. 16(1). 11175–11175.
6.
Gregoriou, Maria‐Eleni, et al.. (2025). CRISPR/Cas9‐based white pupae mutant lines in Bactrocera spp. for sterile insect technique applications. Insect Science. 1 indexed citations
7.
Yan, Ying & Marc F. Schetelig. (2024). Protocol for genetic engineering in Drosophila suzukii using microinjection. STAR Protocols. 5(3). 103248–103248. 1 indexed citations
8.
Yan, Ying, Hassan M. M. Ahmed, Ernst A. Wimmer, & Marc F. Schetelig. (2024). Biotechnology-enhanced genetic controls of the global pest Drosophila suzukii. Trends in biotechnology. 43(4). 826–837. 4 indexed citations
9.
Strobl, Frederic, Alexander Schmitz, Marc F. Schetelig, & Ernst H. K. Stelzer. (2024). A two-level staging system for the embryonic morphogenesis of the Mediterranean fruit fly (medfly) Ceratitis capitata. PLoS ONE. 19(12). e0316391–e0316391. 2 indexed citations
10.
Yan, Ying, et al.. (2023). Effects of antibiotics on the in vitro expression of tetracycline-off constructs and the performance of Drosophila suzukii female-killing strains. Frontiers in Bioengineering and Biotechnology. 11. 876492–876492. 3 indexed citations
11.
Nikolouli, Katerina, Haig Djambazian, Mark Whitehead, et al.. (2023). Genomic and cytogenetic analysis of the Ceratitis capitata temperature-sensitive lethal region. G3 Genes Genomes Genetics. 13(6). 5 indexed citations
12.
Strobl, Frederic, Marc F. Schetelig, & Ernst H. K. Stelzer. (2022). In toto light sheet fluorescence microscopy live imaging datasets of Ceratitis capitata embryonic development. Scientific Data. 9(1). 340–340. 5 indexed citations
13.
Yan, Ying, Cong Huang, Bo Liu, et al.. (2021). Highly Efficient Temperature Inducible CRISPR-Cas9 Gene Targeting in Drosophila suzukii. International Journal of Molecular Sciences. 22(13). 6724–6724. 11 indexed citations
14.
Eichner, Gerrit, et al.. (2021). Spatial and temporal genetic variation of Drosophila suzukii in Germany. Journal of Pest Science. 94(4). 1291–1305. 6 indexed citations
15.
Yan, Ying, et al.. (2020). Functional characterization of the Drosophila suzukii pro-apoptotic genes reaper, head involution defective and grim. APOPTOSIS. 25(11-12). 864–874. 3 indexed citations
16.
Spielmeyer, Astrid, Marc F. Schetelig, & Josiane Etang. (2019). High-throughput analysis of insecticides on malaria vectors using liquid chromatography tandem mass spectrometry. PLoS ONE. 14(2). e0211064–e0211064. 3 indexed citations
17.
18.
Schetelig, Marc F., et al.. (2017). CRISPR/Cas‐mediated gene editing using purified protein in Drosophila suzukii. Entomologia Experimentalis et Applicata. 164(3). 350–362. 27 indexed citations
19.
Schetelig, Marc F., Kwang‐Zin Lee, Johannes Stökl, et al.. (2017). Environmentally sustainable pest control options forDrosophila suzukii. Journal of Applied Entomology. 142(1-2). 3–17. 69 indexed citations
20.
Schetelig, Marc F., et al.. (2010). Recombination technologies for enhanced transgene stability in bioengineered insects. Genetica. 139(1). 71–78. 10 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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