Max L. Fletcher

39 total papers · 1.3k total citations
26 papers, 932 citations indexed

About

Max L. Fletcher is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Max L. Fletcher has authored 26 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Sensory Systems, 17 papers in Cellular and Molecular Neuroscience and 11 papers in Nutrition and Dietetics. Recurrent topics in Max L. Fletcher's work include Olfactory and Sensory Function Studies (25 papers), Neurobiology and Insect Physiology Research (17 papers) and Biochemical Analysis and Sensing Techniques (11 papers). Max L. Fletcher is often cited by papers focused on Olfactory and Sensory Function Studies (25 papers), Neurobiology and Insect Physiology Research (17 papers) and Biochemical Analysis and Sensing Techniques (11 papers). Max L. Fletcher collaborates with scholars based in United States, Japan and Germany. Max L. Fletcher's co-authors include Donald A. Wilson, Wei R. Chen, Jordan M. Ross, Regina M. Sullivan, John D. Boughter, Aaron R. Best, Mounir Bendahmane, Shin Nagayama, Tatsuya Yamasoba and Shu Kikuta and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Max L. Fletcher

26 papers receiving 921 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Max L. Fletcher	740	551	353	238	231	26	932
David H. Gire	839 1.1×	775 1.4×	334 0.9×	292 1.2×	275 1.2×	25	1.2k
Izumi Fukunaga	651 0.9×	585 1.1×	258 0.7×	197 0.8×	234 1.0×	24	893
Andrew H. Moberly	418 0.6×	357 0.6×	270 0.8×	207 0.9×	175 0.8×	22	799
Martine Cattarelli	548 0.7×	468 0.8×	253 0.7×	314 1.3×	114 0.5×	43	887
Hideki Kashiwadani	559 0.8×	430 0.8×	227 0.6×	203 0.9×	171 0.7×	24	818
R. C. Gesteland	697 0.9×	688 1.2×	380 1.1×	146 0.6×	239 1.0×	18	1.1k
Kurt R. Illig	682 0.9×	531 1.0×	352 1.0×	215 0.9×	216 0.9×	16	899
Nixon M. Abraham	755 1.0×	619 1.1×	279 0.8×	185 0.8×	269 1.2×	20	1.2k
Xavier Grosmaître	795 1.1×	675 1.2×	553 1.6×	101 0.4×	232 1.0×	29	1.1k
Markus Rothermel	433 0.6×	486 0.9×	218 0.6×	161 0.7×	130 0.6×	37	842

Countries citing papers authored by Max L. Fletcher

Since Specialization

Citations

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

Fields of papers citing papers by Max L. Fletcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max L. Fletcher

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

All Works

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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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