M. S. Mayer

1.4k total citations
52 papers, 1.1k citations indexed

About

M. S. Mayer is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, M. S. Mayer has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Insect Science, 24 papers in Cellular and Molecular Neuroscience and 20 papers in Genetics. Recurrent topics in M. S. Mayer's work include Insect Pheromone Research and Control (31 papers), Neurobiology and Insect Physiology Research (24 papers) and Insect and Arachnid Ecology and Behavior (20 papers). M. S. Mayer is often cited by papers focused on Insect Pheromone Research and Control (31 papers), Neurobiology and Insect Physiology Research (24 papers) and Insect and Arachnid Ecology and Behavior (20 papers). M. S. Mayer collaborates with scholars based in United States and France. M. S. Mayer's co-authors include Richard W. Mankin, Jennifer James, Donald L. Silhacek, David A. Carlson, B. A. Bierl, Morton Beroza, Alan J. Grant, E. R. Mitchell, K. E. Savage and Edwin I. Hazard and has published in prestigious journals such as Nature, Science and Annals of the New York Academy of Sciences.

In The Last Decade

M. S. Mayer

52 papers receiving 995 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. S. Mayer United States 18 830 425 350 276 218 52 1.1k
A. H. Baumhover United States 12 579 0.7× 254 0.6× 154 0.4× 136 0.5× 124 0.6× 41 741
Kyung Saeng Boo South Korea 17 713 0.9× 342 0.8× 298 0.9× 300 1.1× 207 0.9× 52 1.0k
Didier Rochat France 19 780 0.9× 274 0.6× 324 0.9× 225 0.8× 514 2.4× 51 1.3k
Pingxi Xu United States 18 811 1.0× 1.0k 2.4× 557 1.6× 185 0.7× 172 0.8× 25 1.3k
E. Vass United States 11 490 0.6× 250 0.6× 77 0.2× 85 0.3× 99 0.5× 12 859
Katalin Böröczky United States 18 720 0.9× 126 0.3× 418 1.2× 444 1.6× 183 0.8× 24 1.0k
Donald L. Silhacek United States 17 787 0.9× 427 1.0× 303 0.9× 176 0.6× 349 1.6× 45 1.2k
Muhammad Binyameen Pakistan 16 500 0.6× 243 0.6× 190 0.5× 181 0.7× 258 1.2× 46 747
Jennifer S. Sun United States 13 378 0.5× 490 1.2× 265 0.8× 125 0.5× 46 0.2× 17 832
Seung‐Joon Ahn United States 18 829 1.0× 214 0.5× 156 0.4× 176 0.6× 457 2.1× 64 1.3k

Countries citing papers authored by M. S. Mayer

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Mayer. 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 M. S. Mayer. The network helps show where M. S. Mayer may publish in the future.

Co-authorship network of co-authors of M. S. Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Mayer. A scholar is included among the top collaborators of M. S. Mayer 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 M. S. Mayer. M. S. Mayer 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
1.
Mayer, M. S. & E. R. Mitchell. (2002). (Z)-7-DODECENYL ACETATE: A SUPERNORMAL STIMULUS OFTrichoplusia ni(HÜBNER) [LEPIDOPTERA: NOCTUIDAE] SEX PHEROMONE BEHAVIOR. Journal of Environmental Science and Health Part B. 37(2). 161–172. 2 indexed citations
2.
3.
Mayer, M. S., LM Williams, & Jon P. Rebman. (2000). Molecular evidence for the hybrid origin of Opuntia prolifera (Cactaceae).. Madroño. 47(2). 109–115. 18 indexed citations
4.
Mitchell, E. R. & M. S. Mayer. (2000). Interpreting the relationship between pheromone component emission from commercial lures and captures ofHelicoverpa zea(boddie) in bucket and cone traps. Journal of Environmental Science and Health Part B. 35(2). 229–243. 1 indexed citations
5.
Mayer, M. S., et al.. (1999). Olfactory Conditioning of the Butterfly Agraulis vanillae (L.) (Lepidoptera, Nymphalidae) to Floral But Not Host-Plant Odors. Journal of Insect Behavior. 12(6). 833–843. 8 indexed citations
6.
Mayer, M. S. & R. E. Doolittle. (1995). Synergism of an insect sex pheromone specialist neuron: Implications for component identification and receptor interactions. Journal of Chemical Ecology. 21(11). 1875–1891. 8 indexed citations
7.
Mayer, M. S., John McLaughlin, & E. R. Mitchell. (1995). Use of paired and single traps to assess perception and discrimination of sex pheromone mixtures in the field byTrichoplusia ni (Hübner). Journal of Chemical Ecology. 21(12). 2057–2068. 7 indexed citations
8.
Mayer, M. S. & John McLaughlin. (1993). Discrimination of mixtures of female sex pheromone components by male Trichoplusia ni (Hübner). Chemical Senses. 18(6). 735–749. 7 indexed citations
9.
Prestwich, Glenn D., et al.. (1990). Perfluorinated moth pheromones. Journal of Chemical Ecology. 16(6). 1761–1778. 35 indexed citations
10.
Grant, Alan J., M. S. Mayer, & Richard W. Mankin. (1989). Responses from sensilla on antennae of maleHeliothis zea to its major pheromone component and two analogs. Journal of Chemical Ecology. 15(12). 2625–2634. 22 indexed citations
11.
Mayer, M. S., Richard W. Mankin, & Alan J. Grant. (1987). Quantitative comparison of behavioral and neurophysiological responses of insects to odorants. Journal of Chemical Ecology. 13(3). 509–531. 21 indexed citations
12.
Mankin, Richard W. & M. S. Mayer. (1983). A phenomenological model of the perceived intensity of single odorants. Journal of Theoretical Biology. 100(1). 123–138. 9 indexed citations
13.
Ferkovich, Stephen M., et al.. (1973). Sex pheromone of the cabbage looper: Reactions with antennal proteins in vitro. Journal of Insect Physiology. 19(11). 2231–2243. 12 indexed citations
14.
Tumlinson, James H., et al.. (1972). Cis-7-Dodecen-1-ol, a Potent Inhibitor of the Cabbage Looper1Sex Pheromone2. Environmental Entomology. 1(3). 354–358. 42 indexed citations
15.
Mayer, M. S., Donald L. Silhacek, David A. Carlson, & Jennifer James. (1972). Attraction of the male house fly to cuticular hydrocarbons and feces of several other dipteran species. Cellular and Molecular Life Sciences. 28(9). 1111–1112. 9 indexed citations
16.
Smith, Carroll N., Nelson Smith, H. K. Gouck, et al.. (1970). L-Lactic Acid as a Factor in the Attraction of Aedes aegypti (Diptera: Culicidae) to Human Hosts2. Annals of the Entomological Society of America. 63(3). 760–770. 87 indexed citations
17.
Mayer, M. S. & Jennifer James. (1970). ATTRACTION OF AEDES AEGYPTI II. VELOCITY OF REACTION TO HOST WITH AND WITHOUT ADDITIONAL CARBON DIOXIDE. Entomologia Experimentalis et Applicata. 13(1). 47–53. 4 indexed citations
18.
Hazard, Edwin I., M. S. Mayer, & K. E. Savage. (1967). Attraction and oviposition stimulation of gravid female mosquitoes by bacteria isolated from hay infusions.. Mosquito news. 27(2). 64 indexed citations
19.
Lindquist, D. A., et al.. (1964). Laboratory Studies on Sterilization of the Boll Weevil with Apholate1. Journal of Economic Entomology. 57(5). 745–750. 14 indexed citations
20.
Mayer, M. S. & J. R. Brazzel. (1963). The Mating Behavior of the Boll Weevil, Anthonomus grandis1. Journal of Economic Entomology. 56(5). 605–609. 15 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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