Gillian Hertlein

1.1k total citations · 1 hit paper
15 papers, 875 citations indexed

About

Gillian Hertlein is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gillian Hertlein has authored 15 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Insect Science, 9 papers in Genetics and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gillian Hertlein's work include Insect and Pesticide Research (13 papers), Insect and Arachnid Ecology and Behavior (9 papers) and Plant and animal studies (8 papers). Gillian Hertlein is often cited by papers focused on Insect and Pesticide Research (13 papers), Insect and Arachnid Ecology and Behavior (9 papers) and Plant and animal studies (8 papers). Gillian Hertlein collaborates with scholars based in Germany, United Kingdom and Spain. Gillian Hertlein's co-authors include Elke Genersch, Eva Garcia‐Gonzalez, Anne Fünfhaus, Ralf Nauen, Bettina Lueke, Roderich D. Süßmuth, Lena Poppinga, Sebastian Müller, Chris Bass and Martin S. Williamson and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Current Biology.

In The Last Decade

Gillian Hertlein

15 papers receiving 871 citations

Hit Papers

Unravelling the Molecular Determinants of Bee Sensitivity... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gillian Hertlein Germany 14 638 384 368 257 132 15 875
Eva Garcia‐Gonzalez Germany 11 353 0.6× 218 0.6× 232 0.6× 148 0.6× 69 0.5× 12 519
Doori Park South Korea 4 210 0.3× 127 0.3× 225 0.6× 320 1.2× 245 1.9× 4 715
Murukarthick Jayakodi Germany 3 139 0.2× 113 0.3× 193 0.5× 274 1.1× 228 1.7× 7 603
Heather S. Gatehouse New Zealand 14 396 0.6× 190 0.5× 200 0.5× 225 0.9× 120 0.9× 20 561
Seung‐Joon Ahn United States 18 829 1.3× 176 0.5× 156 0.4× 758 2.9× 457 3.5× 64 1.3k
Howard A. Bell United Kingdom 21 798 1.3× 134 0.3× 107 0.3× 604 2.4× 449 3.4× 48 1.1k
Nagesh Sardesai United States 18 372 0.6× 173 0.5× 214 0.6× 691 2.7× 807 6.1× 35 1.2k
Byung‐Rae Jin South Korea 12 280 0.4× 85 0.2× 136 0.4× 374 1.5× 97 0.7× 68 605

Countries citing papers authored by Gillian Hertlein

Since Specialization
Citations

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

Fields of papers citing papers by Gillian Hertlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gillian Hertlein

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

All Works

15 of 15 papers shown
1.
Troczka, Bartlomiej J., Angela Hayward, Gillian Hertlein, et al.. (2023). A conserved hymenopteran-specific family of cytochrome P450s protects bee pollinators from toxic nectar alkaloids. Science Advances. 9(15). eadg0885–eadg0885. 19 indexed citations
2.
Maiwald, Frank, et al.. (2023). Expression profile of the entire detoxification gene inventory of the western honeybee, Apis mellifera across life stages. Pesticide Biochemistry and Physiology. 192. 105410–105410. 22 indexed citations
3.
Zaworra, Marion, Gillian Hertlein, Maxie Kohler, et al.. (2021). A toxicogenomics approach reveals characteristics supporting the honey bee (Apis mellifera L.) safety profile of the butenolide insecticide flupyradifurone. Ecotoxicology and Environmental Safety. 217. 112247–112247. 49 indexed citations
4.
Lueke, Bettina, Vassilis Douris, Frank Maiwald, et al.. (2020). Identification and functional characterization of a novel acetyl-CoA carboxylase mutation associated with ketoenol resistance in Bemisia tabaci. Pesticide Biochemistry and Physiology. 166. 104583–104583. 34 indexed citations
5.
González‐Cabrera, Joel, Sonia Rodríguez‐Vargas, Peter J. Kennedy, et al.. (2018). A single mutation is driving resistance to pyrethroids in European populations of the parasitic mite, Varroa destructor. Journal of Pest Science. 91(3). 1137–1144. 50 indexed citations
6.
Manjón, Cristina, Bartlomiej J. Troczka, Marion Zaworra, et al.. (2018). Unravelling the Molecular Determinants of Bee Sensitivity to Neonicotinoid Insecticides. Current Biology. 28(7). 1137–1143.e5. 246 indexed citations breakdown →
7.
Ebeling, Julia, et al.. (2016). Biology of Paenibacillus larvae, a deadly pathogen of honey bee larvae. Applied Microbiology and Biotechnology. 100(17). 7387–7395. 76 indexed citations
8.
Hertlein, Gillian, et al.. (2016). Biological Role of Paenilarvins, Iturin-Like Lipopeptide Secondary Metabolites Produced by the Honey Bee Pathogen Paenibacillus larvae. PLoS ONE. 11(10). e0164656–e0164656. 18 indexed citations
9.
Müller, Sebastian, Eva Garcia‐Gonzalez, Andi Mainz, et al.. (2014). Paenilamicin – Struktur und Biosynthese eines hybriden Polyketid‐/nichtribosomalen Peptidantibiotikums des bienenpathogenen Bakteriums Paenibacillus larvae. Angewandte Chemie. 126(40). 10998–11002. 4 indexed citations
10.
Müller, Sebastian, Eva Garcia‐Gonzalez, Andi Mainz, et al.. (2014). Paenilamicin: Structure and Biosynthesis of a Hybrid Nonribosomal Peptide/Polyketide Antibiotic from the Bee Pathogen Paenibacillus larvae. Angewandte Chemie International Edition. 53(40). 10821–10825. 63 indexed citations
11.
Hertlein, Gillian, Sebastian Müller, Eva Garcia‐Gonzalez, et al.. (2014). Production of the Catechol Type Siderophore Bacillibactin by the Honey Bee Pathogen Paenibacillus larvae. PLoS ONE. 9(9). e108272–e108272. 48 indexed citations
12.
Garcia‐Gonzalez, Eva, Lena Poppinga, Anne Fünfhaus, et al.. (2014). Paenibacillus larvae Chitin-Degrading Protein PlCBP49 Is a Key Virulence Factor in American Foulbrood of Honey Bees. PLoS Pathogens. 10(7). e1004284–e1004284. 60 indexed citations
13.
Fan, Yun, Shiuan Wang, Gillian Hertlein, et al.. (2014). Genetic Models of Apoptosis-Induced Proliferation Decipher Activation of JNK and Identify a Requirement of EGFR Signaling for Tissue Regenerative Responses in Drosophila. PLoS Genetics. 10(1). e1004131–e1004131. 79 indexed citations
14.
Garcia‐Gonzalez, Eva, et al.. (2014). Biological effects of paenilamicin, a secondary metabolite antibiotic produced by the honey bee pathogenic bacterium Paenibacillus larvae. MicrobiologyOpen. 3(5). 642–656. 46 indexed citations
15.
Poppinga, Lena, Bettina Janesch, Anne Fünfhaus, et al.. (2012). Identification and Functional Analysis of the S-Layer Protein SplA of Paenibacillus larvae, the Causative Agent of American Foulbrood of Honey Bees. PLoS Pathogens. 8(5). e1002716–e1002716. 61 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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