Matthew E. Gruwell

455 total citations
16 papers, 350 citations indexed

About

Matthew E. Gruwell is a scholar working on Insect Science, Ecology and Plant Science. According to data from OpenAlex, Matthew E. Gruwell has authored 16 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Insect Science, 4 papers in Ecology and 4 papers in Plant Science. Recurrent topics in Matthew E. Gruwell's work include Insect symbiosis and bacterial influences (11 papers), Research on scale insects (7 papers) and Insect-Plant Interactions and Control (4 papers). Matthew E. Gruwell is often cited by papers focused on Insect symbiosis and bacterial influences (11 papers), Research on scale insects (7 papers) and Insect-Plant Interactions and Control (4 papers). Matthew E. Gruwell collaborates with scholars based in United States, Canada and Colombia. Matthew E. Gruwell's co-authors include Benjamin B. Normark, Katharina Dittmar, Geoffrey E. Morse, Jin Wu, Nate B. Hardy, Penny J. Gullan, Carl W. Dick, Jeremy C. Andersen, Bruce D. Patterson and Rodger Gwiazdowski and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Molecular Biology and Evolution.

In The Last Decade

Matthew E. Gruwell

14 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew E. Gruwell United States 10 256 142 66 50 41 16 350
Lawrence Bellamy United Kingdom 3 515 2.0× 116 0.8× 74 1.1× 94 1.9× 24 0.6× 4 557
Crystal L. Frost United Kingdom 11 357 1.4× 91 0.6× 60 0.9× 157 3.1× 25 0.6× 14 484
Dominique Bertrand United Kingdom 7 748 2.9× 138 1.0× 99 1.5× 106 2.1× 33 0.8× 8 777
Sarah Biber United States 3 706 2.8× 93 0.7× 64 1.0× 120 2.4× 60 1.5× 5 750
M. Navajas France 10 327 1.3× 223 1.6× 113 1.7× 53 1.1× 21 0.5× 11 451
Germain Chevignon France 10 257 1.0× 48 0.3× 89 1.3× 48 1.0× 19 0.5× 17 309
Tetsuya Adachi-Hagimori Japan 10 623 2.4× 193 1.4× 181 2.7× 90 1.8× 10 0.2× 24 680
Julie K. Stahlhut United States 12 607 2.4× 288 2.0× 52 0.8× 302 6.0× 36 0.9× 14 751
Maryline Raimond France 12 285 1.1× 33 0.2× 58 0.9× 80 1.6× 40 1.0× 28 451
Dhriti Banerjee India 8 141 0.6× 137 1.0× 37 0.6× 43 0.9× 33 0.8× 93 282

Countries citing papers authored by Matthew E. Gruwell

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Gruwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew E. Gruwell

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

All Works

16 of 16 papers shown
1.
Choi, Jinyeong, et al.. (2025). Accelerated Pseudogenization in the Ancient Endosymbionts of Giant Scale Insects. Molecular Biology and Evolution. 42(6).
2.
Knight, Ivor T., et al.. (2024). Quantitative assessment of planktonic AIS eDNA signal duration in Great Lakes harbor water microcosms. Management of Biological Invasions. 15(4). 567–580.
3.
Cangelosi, Allegra, et al.. (2024). Evaluation of eDNA qPCR monitoring as an early detection tool for a non-native mysid in Great Lakes Waters. Journal of Great Lakes Research. 50(4). 102377–102377. 2 indexed citations
4.
Gruwell, Matthew E., et al.. (2014). Investigation of endosymbiotic bacteria associated with scale insects of the family Putoidae (Hemiptera: Coccoidea). 66. 29–34. 8 indexed citations
5.
Andersen, Jeremy C., Rodger Gwiazdowski, Kristi Gdanetz, & Matthew E. Gruwell. (2014). Armored scale insect endosymbiont diversity at the species level: genealogical patterns of Uzinura diasipipdicola in the Chionaspis pinifoliae–Chionaspis heterophyllae species complex (Hemiptera: Coccoidea: Diaspididae). Bulletin of Entomological Research. 105(1). 110–120. 1 indexed citations
6.
Campbell, Alexander, et al.. (2014). Molecular Identification of Diaspididae and Elucidation of Non-Native Species Using the Genes 28s and 16s. Insects. 5(3). 528–538. 9 indexed citations
7.
Andersen, Jeremy C., Rodger Gwiazdowski, & Matthew E. Gruwell. (2014). Molecular Evolution of Sexual and Parthenogenetic Lineages of the Armored Scale Insect Aspidiotus nerii (Hemiptera: Diaspididae) and Its Primary Bacterial Endosymbiont, Uzinura diaspidicola. Annals of the Entomological Society of America. 107(5). 954–960. 3 indexed citations
8.
Bush, Sarah E., et al.. (2013). Evolution, Multiple Acquisition, and Localization of Endosymbionts in Bat Flies (Diptera: Hippoboscoidea: Streblidae and Nycteribiidae). Applied and Environmental Microbiology. 79(9). 2952–2961. 28 indexed citations
9.
10.
Dittmar, Katharina, et al.. (2011). Spatial and Temporal Complexities of Reproductive Behavior and Sex Ratios: A Case from Parasitic Insects. PLoS ONE. 6(5). e19438–e19438. 37 indexed citations
11.
Andersen, Jeremy C., Jin Wu, Matthew E. Gruwell, et al.. (2010). A phylogenetic analysis of armored scale insects (Hemiptera: Diaspididae), based upon nuclear, mitochondrial, and endosymbiont gene sequences. Molecular Phylogenetics and Evolution. 57(3). 992–1003. 50 indexed citations
12.
Gruwell, Matthew E., Nate B. Hardy, Penny J. Gullan, & Katharina Dittmar. (2010). Evolutionary Relationships among Primary Endosymbionts of the Mealybug Subfamily Phenacoccinae (Hemiptera: Coccoidea: Pseudococcidae). Applied and Environmental Microbiology. 76(22). 7521–7525. 53 indexed citations
13.
Andersen, Jeremy C., Matthew E. Gruwell, Geoffrey E. Morse, & Benjamin B. Normark. (2010). Cryptic Diversity in the Aspidiotus nerii Complex in Australia. Annals of the Entomological Society of America. 103(6). 844–854. 18 indexed citations
14.
Dittmar, Katharina, Carl W. Dick, Bruce D. Patterson, Michael F. Whiting, & Matthew E. Gruwell. (2009). Pupal Deposition and Ecology of Bat Flies (Diptera: Streblidae): Trichobius sp. (Caecus Group) in a Mexican Cave Habitat. Journal of Parasitology. 95(2). 308–314. 37 indexed citations
15.
Gruwell, Matthew E., Jin Wu, & Benjamin B. Normark. (2009). Diversity and Phylogeny of Cardinium (Bacteroidetes) in Armored Scale Insects (Hemiptera: Diaspididae). Annals of the Entomological Society of America. 102(6). 1050–1061. 22 indexed citations
16.
Gruwell, Matthew E., Geoffrey E. Morse, & Benjamin B. Normark. (2007). Phylogenetic congruence of armored scale insects (Hemiptera: Diaspididae) and their primary endosymbionts from the phylum Bacteroidetes. Molecular Phylogenetics and Evolution. 44(1). 267–280. 72 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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2026