Andre H. Kurlovs

618 total citations
15 papers, 423 citations indexed

About

Andre H. Kurlovs is a scholar working on Insect Science, Molecular Biology and Plant Science. According to data from OpenAlex, Andre H. Kurlovs has authored 15 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Insect Science, 10 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Andre H. Kurlovs's work include Insect-Plant Interactions and Control (10 papers), Insect Resistance and Genetics (6 papers) and Single-cell and spatial transcriptomics (4 papers). Andre H. Kurlovs is often cited by papers focused on Insect-Plant Interactions and Control (10 papers), Insect Resistance and Genetics (6 papers) and Single-cell and spatial transcriptomics (4 papers). Andre H. Kurlovs collaborates with scholars based in United States, Belgium and Netherlands. Andre H. Kurlovs's co-authors include Richard M. Clark, Thomas Van Leeuwen, Robert Greenhalgh, Olivia Kosterlitz, Simon Snoeck, Astrid Bryon, Wannes Dermauw, John Vontas, Nicky Wybouw and Sabina Bajda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Andre H. Kurlovs

15 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andre H. Kurlovs United States	11	302	268	92	75	30	15	423
Astrid Bryon Netherlands	9	221 0.7×	203 0.8×	97 1.1×	55 0.7×	10 0.3×	10	373
S. B. Dandin India	9	183 0.6×	137 0.5×	170 1.8×	63 0.8×	5 0.2×	64	356
Aleksandra Urbanek Poland	10	183 0.6×	61 0.2×	120 1.3×	75 1.0×	4 0.1×	19	320
Sabina Bajda Belgium	13	553 1.8×	435 1.6×	184 2.0×	112 1.5×	5 0.2×	16	633
Ermenegildo Tremblay Italy	10	406 1.3×	115 0.4×	166 1.8×	87 1.2×	7 0.2×	13	450
Natalia A. Kryukova Russia	13	373 1.2×	182 0.7×	166 1.8×	24 0.3×	8 0.3×	35	460
Kerstin Büchel Germany	7	109 0.4×	123 0.5×	256 2.8×	60 0.8×	13 0.4×	7	356
Chunni Zhang China	15	275 0.9×	262 1.0×	214 2.3×	81 1.1×	12 0.4×	35	515
Yu‐Zhou Du China	14	222 0.7×	217 0.8×	147 1.6×	28 0.4×	7 0.2×	33	407
Emilia Włóka Poland	13	376 1.2×	101 0.4×	222 2.4×	16 0.2×	4 0.1×	20	440

Countries citing papers authored by Andre H. Kurlovs

Since Specialization

Citations

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

Fields of papers citing papers by Andre H. Kurlovs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andre H. Kurlovs. 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 Andre H. Kurlovs. The network helps show where Andre H. Kurlovs may publish in the future.

Co-authorship network of co-authors of Andre H. Kurlovs

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

All Works

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15 of 15 papers shown

Kurlovs, Andre H., Munender Vodnala, Elamaran Meibalan, et al.. (2024). Immune disease dialogue of chemokine-based cell communications as revealed by single-cell RNA sequencing meta-analysis. SHILAP Revista de lepidopterología. 4. 1466368–1466368. 1 indexed citations

Nouri, Nima, Andre H. Kurlovs, Giorgio Gaglia, Emanuele de Rinaldis, & Virginia Savova. (2023). Scaling up single-cell RNA-seq data analysis with CellBridge workflow. Bioinformatics. 39(12). 4 indexed citations

Nouri, Nima, Giorgio Gaglia, Andre H. Kurlovs, Emanuele de Rinaldis, & Virginia Savova. (2023). A marker gene-based method for identifying the cell-type of origin from single-cell RNA sequencing data. MethodsX. 10. 102196–102196. 10 indexed citations

Vahid, Milad R., Andre H. Kurlovs, Tommaso Andreani, et al.. (2023). DiSiR: fast and robust method to identify ligand–receptor interactions at subunit level from single-cell RNA-sequencing data. NAR Genomics and Bioinformatics. 5(1). lqad030–lqad030. 6 indexed citations

Kurlovs, Andre H., Marilou Vandenhole, Tim De Meyer, et al.. (2022). Trans-driven variation in expression is common among detoxification genes in the extreme generalist herbivore Tetranychus urticae. PLoS Genetics. 18(11). e1010333–e1010333. 19 indexed citations

Snoeck, Simon, et al.. (2021). Adaptive divergence and post-zygotic barriers to gene flow between sympatric populations of a herbivorous mite. Communications Biology. 4(1). 853–853. 15 indexed citations

Wybouw, Nicky, Andre H. Kurlovs, Dimitra Tsakireli, et al.. (2021). High-resolution genetic mapping reveals cis-regulatory and copy number variation in loci associated with cytochrome P450-mediated detoxification in a generalist arthropod pest. PLoS Genetics. 17(6). e1009422–e1009422. 36 indexed citations

Bui, Huyen, Robert Greenhalgh, Andre H. Kurlovs, et al.. (2021). Maize Inbred Line B96 Is the Source of Large-Effect Loci for Resistance to Generalist but Not Specialist Spider Mites. Frontiers in Plant Science. 12. 693088–693088. 12 indexed citations

Wybouw, Nicky, Olivia Kosterlitz, Andre H. Kurlovs, et al.. (2019). Long-Term Population Studies Uncover the Genome Structure and Genetic Basis of Xenobiotic and Host Plant Adaptation in the Herbivore Tetranychus urticae. Genetics. 211(4). 1409–1427. 70 indexed citations

10.

Wybouw, Nicky, Andre H. Kurlovs, Robert Greenhalgh, et al.. (2019). Convergent evolution of cytochrome P450s underlies independent origins of keto-carotenoid pigmentation in animals. Proceedings of the Royal Society B Biological Sciences. 286(1907). 20191039–20191039. 35 indexed citations

11.

Snoeck, Simon, Andre H. Kurlovs, Sabina Bajda, et al.. (2019). High-resolution QTL mapping in Tetranychus urticae reveals acaricide-specific responses and common target-site resistance after selection by different METI-I acaricides. Insect Biochemistry and Molecular Biology. 110. 19–33. 62 indexed citations

12.

Kurlovs, Andre H., Simon Snoeck, Olivia Kosterlitz, Thomas Van Leeuwen, & Richard M. Clark. (2019). Trait mapping in diverse arthropods by bulked segregant analysis. Current Opinion in Insect Science. 36. 57–65. 38 indexed citations

13.

Bryon, Astrid, Andre H. Kurlovs, Wannes Dermauw, et al.. (2017). Disruption of a horizontally transferred phytoene desaturase abolishes carotenoid accumulation and diapause inTetranychus urticae. Proceedings of the National Academy of Sciences. 114(29). E5871–E5880. 72 indexed citations

14.

Bryon, Astrid, Andre H. Kurlovs, Thomas Van Leeuwen, & Richard M. Clark. (2017). A molecular‐genetic understanding of diapause in spider mites: current knowledge and future directions. Physiological Entomology. 42(3). 211–224. 13 indexed citations

15.

Kurlovs, Andre H., Jinze Li, Du Cheng, & Jianmin Zhong. (2014). Ixodes pacificus Ticks Maintain Embryogenesis and Egg Hatching after Antibiotic Treatment of Rickettsia Endosymbiont. PLoS ONE. 9(8). e104815–e104815. 30 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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