Alan Willse

1.5k citations
32 papers · 1.2k · h-index 18

Impact in

Papers in

    • Insect Resistance and Genetics 11
    • Bacterial biofilms and quorum sensing 3
    • Gene expression and cancer classification 3
    • Olfactory and Sensory Function Studies 4

Alan Willse

32 papers receiving 1.1k citations

Peers

Alan Willse
Comparison fields: 5 of 92
  • Sensory Systems 112
  • Insect Science 185
  • Molecular Biology 593
  • Plant Science 181
  • Ecology, Evolution, Behavior and Systematics 78
Replace Kevin D. Clark with:
Kevin D. Clark United States
Jiao Zhu China
Jinqun Huang China
David Pauron France
Xinqiu Tan China
Kristopher Silver United States
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Angie Gelli United States
Sally M. Williamson United Kingdom
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Citations per year

Countries citing papers authored by Alan Willse

Since Specialization
Citations

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

Fields of papers citing papers by Alan Willse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alan Willse, 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 Alan Willse Line = papers co-authored together Alan Willse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017236
2 2015232
3 200557
4 202156
5 200852
6 200451
7 201048
8 200647
9 201742
10 201236
11 201836
12 200131
13 202131
14 200424
15 201424
16 200223
17 200523
18 202221
19 200615
20 199814

About Alan Willse

Alan Willse is a scholar working on Molecular Biology, Sensory Systems, Clinical Biochemistry, Spectroscopy and Plant Science, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (11 papers), Olfactory and Sensory Function Studies (4 papers), Bacterial biofilms and quorum sensing (3 papers), Gene expression and cancer classification (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Genetically Modified Organisms Research (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Sensory Systems (112 citations), Insect Science (185 citations), Molecular Biology (593 citations), Plant Science (181 citations) and Ecology, Evolution, Behavior and Systematics (78 citations). Alan Willse has collaborated with scholars based in United States, Brazil and Argentina. Frequent co-authors include Graham Head, Samuel Martinelli, George Preti, Patrick M Dourado, Celso Omoto, Gary K. Beauchamp, Kunio Yamazaki, Oderlei Bernardi, Jae Kwak and Lance J. Meinke. Their work appears in journals such as Pest Management Science, PLoS ONE, Scientific Reports, Analytical Chemistry and Transgenic Research.

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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