Alicia E. Timm

782 total citations
43 papers, 582 citations indexed

About

Alicia E. Timm is a scholar working on Insect Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Alicia E. Timm has authored 43 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Insect Science, 19 papers in Molecular Biology and 18 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Alicia E. Timm's work include Insect-Plant Interactions and Control (15 papers), Insect Resistance and Genetics (15 papers) and Insect Pheromone Research and Control (12 papers). Alicia E. Timm is often cited by papers focused on Insect-Plant Interactions and Control (15 papers), Insect Resistance and Genetics (15 papers) and Insect Pheromone Research and Control (12 papers). Alicia E. Timm collaborates with scholars based in United States, South Africa and Iraq. Alicia E. Timm's co-authors include Louise Warnich, H. Geertsema, Todd M. Gilligan, Luke R. Tembrock, Pierre Franck, Ronald W. DeBry, Gregory A. Dahlem, K. L. Pringle, Annette Reineke and Michael Stiller and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Alicia E. Timm

41 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alicia E. Timm United States 16 454 209 200 161 128 43 582
Lucy Alford United Kingdom 16 407 0.9× 125 0.6× 128 0.6× 238 1.5× 109 0.9× 29 521
Pia Addison South Africa 17 685 1.5× 279 1.3× 190 0.9× 319 2.0× 197 1.5× 83 847
Jeong Joon Ahn South Korea 18 649 1.4× 247 1.2× 144 0.7× 463 2.9× 76 0.6× 47 843
Scott A. Machtley United States 12 377 0.8× 227 1.1× 92 0.5× 120 0.7× 111 0.9× 32 465
Ivan Milosavljević United States 15 428 0.9× 115 0.6× 104 0.5× 363 2.3× 107 0.8× 36 572
Abbas Ali Zamani Iran 13 525 1.2× 207 1.0× 65 0.3× 315 2.0× 68 0.5× 43 600
Angélica Maria Penteado‐Dias Brazil 14 626 1.4× 614 2.9× 118 0.6× 149 0.9× 187 1.5× 167 856
Gustavo Moya‐Raygoza Mexico 16 506 1.1× 236 1.1× 80 0.4× 475 3.0× 134 1.0× 75 677
Mélanie Body United States 13 412 0.9× 351 1.7× 109 0.5× 349 2.2× 70 0.5× 24 679
Matthew L. Lewis United States 13 453 1.0× 283 1.4× 138 0.7× 179 1.1× 106 0.8× 29 645

Countries citing papers authored by Alicia E. Timm

Since Specialization
Citations

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

Fields of papers citing papers by Alicia E. Timm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alicia E. Timm. 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 Alicia E. Timm. The network helps show where Alicia E. Timm may publish in the future.

Co-authorship network of co-authors of Alicia E. Timm

This figure shows the co-authorship network connecting the top 25 collaborators of Alicia E. Timm. A scholar is included among the top collaborators of Alicia E. Timm 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 Alicia E. Timm. Alicia E. Timm 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
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Tembrock, Luke R., et al.. (2023). Ultra-deep sequencing of 45S rDNA to discern intragenomic diversity in three Chrysodeixis species for molecular identification. Scientific Reports. 13(1). 13017–13017. 3 indexed citations
5.
Timm, Alicia E., et al.. (2023). OCCURRENCES OF WHEAT CURL MITE ACERIA TOSICHELLA KEIFER 1969 (ERIOPHYIDAE) AND THE ASSOCIATED VIRUSES, (WSMV, HPWMoV, TriMV) IN IRAQ. IRAQI JOURNAL OF AGRICULTURAL SCIENCES. 54(3). 837–849. 10 indexed citations
6.
Han, Changhee, Md. Mafizur Rahman, Ju Hyeon Kim, et al.. (2023). Exaptation of I4760M mutation in ryanodine receptor of Spodoptera exigua (Lepidoptera: Noctuidae): Lessons from museum and field samples. Pesticide Biochemistry and Physiology. 195. 105579–105579. 9 indexed citations
7.
Timm, Alicia E., et al.. (2020). Modeling Aceria tosichella biotype distribution over geographic space and time. PLoS ONE. 15(5). e0233507–e0233507. 11 indexed citations
8.
Tembrock, Luke R., et al.. (2017). A droplet digital PCR (ddPCR) assay to detect Helicoverpa armigera (Lepidoptera: Noctuidae) in bulk trap samples. PLoS ONE. 12(5). e0178704–e0178704. 22 indexed citations
9.
Timm, Alicia E., et al.. (2017). Validating sonication as a DNA extraction method for use with carrion flies. Forensic Science International. 275. 171–177. 4 indexed citations
10.
Timm, Alicia E., et al.. (2015). Reference Gene Selection for Quantitative Real-Time PCR Normalization in Larvae of Three Species of Grapholitini (Lepidoptera: Tortricidae). PLoS ONE. 10(6). e0129026–e0129026. 9 indexed citations
11.
Timm, Alicia E. & John W. Brown. (2014). A new genus of Grapholitini from Africa related to Thaumatotibia (Lepidoptera, Tortricidae). ZooKeys. 438(438). 113–128. 1 indexed citations
12.
Timm, Alicia E., et al.. (2014). Comparison of RNA Isolation Methods From Insect Larvae. Journal of Insect Science. 14(1). 8 indexed citations
13.
Timm, Alicia E. & Annette Reineke. (2014). First insights into grapevine transcriptional responses as a result of vine mealybug Planococcus ficus feeding. Arthropod-Plant Interactions. 15 indexed citations
14.
DeBry, Ronald W., et al.. (2012). DNA‐Based Identification of Forensically ImportantLucilia(Diptera: Calliphoridae) in the Continental United States*. Journal of Forensic Sciences. 58(1). 73–78. 32 indexed citations
15.
Veldtman, Ruan, A. Botes, Şerban Procheş, et al.. (2011). Creating novel food webs on introduced Australian acacias: indirect effects of galling biological control agents. Diversity and Distributions. 17(5). 958–967. 26 indexed citations
16.
DeBry, Ronald W., et al.. (2010). mtDNA-based identification of Lucilia cuprina (Wiedemann) and Lucilia sericata (Meigen) (Diptera: Calliphoridae) in the continental United States. Forensic Science International. 202(1-3). 102–109. 36 indexed citations
17.
Timm, Alicia E., H. Geertsema, & Louise Warnich. (2009). Population genetic structure of economically important Tortricidae (Lepidoptera) in South Africa: a comparative analysis. Bulletin of Entomological Research. 100(4). 421–431. 31 indexed citations
18.
Addison, Matthew F., et al.. (2008). DNA sequence analysis of the internal transcribed spacer 2 (ITS 2) region as tool for molecular identification of Trichogrammatoidea lutea (Girault) and Trichogrammatoidea cryptophlebiae (Nagaraja) (Hymenoptera : Trichogrammatidae). 14(1). 8–14. 6 indexed citations
19.
Timm, Alicia E., H. Geertsema, & Louise Warnich. (2006). Gene Flow Among <I>Cydia pomonella</I> (Lepidoptera: Tortricidae) Geographic and Host Populations in South Africa. Journal of Economic Entomology. 99(2). 341–348. 42 indexed citations
20.
Timm, Alicia E., K. L. Pringle, & Louise Warnich. (2005). Genetic diversity of woolly apple aphid Eriosoma lanigerum (Hemiptera: Aphididae) populations in the Western Cape, South Africa. Bulletin of Entomological Research. 95(3). 187–191. 26 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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