Astrid Hoermann

468 total citations
11 papers, 246 citations indexed

About

Astrid Hoermann is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Astrid Hoermann has authored 11 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Immunology. Recurrent topics in Astrid Hoermann's work include CRISPR and Genetic Engineering (7 papers), Mosquito-borne diseases and control (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Astrid Hoermann is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Mosquito-borne diseases and control (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Astrid Hoermann collaborates with scholars based in United Kingdom, Israel and Germany. Astrid Hoermann's co-authors include Nikolai Windbichler, George K. Christophides, Johannes Jaeger, Damjan Cicin-Sain, Peter Soba, Christoph Thiele, Andrea Beaghton, Mélisande Richard, Gaia Tavosanis and Philippos Aris Papathanos and has published in prestigious journals such as Nature Communications, Science Advances and Developmental Biology.

In The Last Decade

Astrid Hoermann

10 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Astrid Hoermann United Kingdom 9 170 86 78 37 31 11 246
Henry Amrhein United States 4 205 1.2× 96 1.1× 69 0.9× 36 1.0× 42 1.4× 4 290
Gaofeng Pei China 10 190 1.1× 74 0.9× 39 0.5× 36 1.0× 39 1.3× 15 313
Panagiotis D. Velentzas United States 11 109 0.6× 45 0.5× 22 0.3× 22 0.6× 41 1.3× 15 233
Víctor López Del Amo United States 9 215 1.3× 84 1.0× 38 0.5× 37 1.0× 4 0.1× 14 270
Linda Nemetschke Germany 8 73 0.4× 24 0.3× 24 0.3× 31 0.8× 23 0.7× 8 213
Davide Romanelli Italy 6 97 0.6× 92 1.1× 18 0.2× 36 1.0× 70 2.3× 7 206
Karen Gaget France 10 267 1.6× 282 3.3× 22 0.3× 84 2.3× 35 1.1× 20 536
Ya Zheng China 10 77 0.5× 247 2.9× 43 0.6× 88 2.4× 47 1.5× 20 324
Tom Riley Australia 3 199 1.2× 30 0.3× 11 0.1× 56 1.5× 44 1.4× 4 308
Esther J. Belikoff United States 14 385 2.3× 302 3.5× 16 0.2× 92 2.5× 18 0.6× 23 548

Countries citing papers authored by Astrid Hoermann

Since Specialization
Citations

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

Fields of papers citing papers by Astrid Hoermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Astrid Hoermann

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

All Works

11 of 11 papers shown
1.
Yen, Pei‐Shi, Sebald A. N. Verkuijl, Astrid Hoermann, et al.. (2025). The nanosd integral gene drive enables population modification of the malaria vector Anopheles gambiae. G3 Genes Genomes Genetics.
2.
Verkuijl, Sebald A. N., Pei‐Shi Yen, Prashanth Selvaraj, et al.. (2025). A suppression-modification gene drive for malaria control targeting the ultra-conserved RNA gene mir-184. Nature Communications. 16(1). 3923–3923. 2 indexed citations
3.
Hoermann, Astrid, et al.. (2022). Gene drive mosquitoes can aid malaria elimination by retarding Plasmodium sporogonic development. Science Advances. 8(38). eabo1733–eabo1733. 40 indexed citations
4.
Ellis, David, et al.. (2022). Testing non-autonomous antimalarial gene drive effectors using self-eliminating drivers in the African mosquito vector Anopheles gambiae. PLoS Genetics. 18(6). e1010244–e1010244. 12 indexed citations
5.
Hoermann, Astrid, et al.. (2022). Intronic gRNAs for the Construction of Minimal Gene Drive Systems. Frontiers in Bioengineering and Biotechnology. 10. 857460–857460. 8 indexed citations
7.
Habtewold, Tibebu, et al.. (2019). Streamlined SMFA and mosquito dark-feeding regime significantly improve malaria transmission-blocking assay robustness and sensitivity. Malaria Journal. 18(1). 24–24. 17 indexed citations
8.
Beaghton, Andrea, et al.. (2018). Integral gene drives for population replacement. Biology Open. 8(1). 43 indexed citations
9.
Thiele, Christoph, Federico Tenedini, Mélisande Richard, et al.. (2017). Cell-Autonomous Control of Neuronal Dendrite Expansion via the Fatty Acid Synthesis Regulator SREBP. Cell Reports. 21(12). 3346–3353. 49 indexed citations
10.
Hoermann, Astrid, Damjan Cicin-Sain, & Johannes Jaeger. (2016). A quantitative validated model reveals two phases of transcriptional regulation for the gap gene giant in Drosophila. Developmental Biology. 411(2). 325–338. 10 indexed citations
11.
Becker, Kolja, Eva Balsa‐Canto, Damjan Cicin-Sain, et al.. (2013). Reverse-Engineering Post-Transcriptional Regulation of Gap Genes in Drosophila melanogaster. PLoS Computational Biology. 9(10). e1003281–e1003281. 33 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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