Matthew L. Aardema

1.3k citations
40 papers · 809 indexed · h-index 16

Matthew L. Aardema

39 papers receiving 798 citations

Peers

Matthew L. Aardema
Comparison fields: 5 of 79
  • Parasitology 123
  • Ecological Modeling 71
  • Ecology, Evolution, Behavior and Systematics 306
  • Insect Science 193
  • Genetics 345
Replace Marina S. Ascunce with:
Marina S. Ascunce United States
Alda González Argentina
Matthew C. Tinsley United Kingdom
Irem Sepil United Kingdom
Panu Välimäki Finland
Matthew A. Bertone United States
Luana S. Maroja United States
Simon Fellous France
Anna J. Phillips United States
Liang Lü China
Matthew L. Aardema relative to Marina S. Ascunce United States Marina S. Ascunce's profile →
Citations per field
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Citations per year

Countries citing papers authored by Matthew L. Aardema

Since Specialization
Citations

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

Fields of papers citing papers by Matthew L. Aardema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Matthew L. Aardema, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew L. Aardema Line = papers co-authored together Matthew L. Aardema links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20231
3 20233
4 20237
5 20225
6 20218
7 20216
8 202110
9 202110
10 20212
11 201917
12 201816
13 201739
14 201610
15 201510
16 201476
17 2012196
18 201130
19 201186
20 200831

About Matthew L. Aardema

Matthew L. Aardema is a scholar working on Parasitology, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 40 papers that have together received 809 indexed citations. Recurring topics across this work include Plant and animal studies (9 papers), Lepidoptera: Biology and Taxonomy (8 papers), Insect symbiosis and bacterial influences (7 papers), Vector-borne infectious diseases (6 papers), Genetic diversity and population structure (6 papers), Mosquito-borne diseases and control (5 papers), Animal Behavior and Reproduction (4 papers) and Insect-Plant Interactions and Control (4 papers). The work is most often cited by research in Parasitology (123 citations), Ecological Modeling (71 citations) and Ecology, Evolution, Behavior and Systematics (306 citations). Matthew L. Aardema has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Peter Andolfatto, Ying Zhen, J. Mark Scriber, Edgar M. Medina, Molly Schumer, Bridgett M. vonHoldt, Rodrigo J. Mercader, Friederike D. von Loewenich, Krushnamegh Kunte and Thomas Juenger. Their work appears in journals such as Parasites & Vectors, Insect Science, Molecular Ecology, Oecologia and Genome Biology and Evolution.

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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