M. O. Way

21 total papers · 609 total citations
18 papers, 405 citations indexed

About

M. O. Way is a scholar working on Plant Science, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M. O. Way has authored 18 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Insect Science and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M. O. Way's work include Insect-Plant Interactions and Control (10 papers), Rice Cultivation and Yield Improvement (3 papers) and Cassava research and cyanide (3 papers). M. O. Way is often cited by papers focused on Insect-Plant Interactions and Control (10 papers), Rice Cultivation and Yield Improvement (3 papers) and Cassava research and cyanide (3 papers). M. O. Way collaborates with scholars based in United States, China and Germany. M. O. Way's co-authors include G. David Buntin, Robert D. Bowling, John W. Gordy, Michael J. Brewer, David L. Kerns, T. A. Royer, Norman Elliott, A. J. Mueller, G. N. McCauley and Francis P. F. Reay‐Jones and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Field Crops Research and Crop Protection.

In The Last Decade

M. O. Way

16 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
M. O. Way	308	296	59	44	31	18	405
G. Nyamasyo	295 1.0×	168 0.6×	101 1.7×	47 1.1×	27 0.9×	25	401
John W. Gordy	336 1.1×	341 1.2×	38 0.6×	42 1.0×	43 1.4×	9	426
Douglas B. Jones	302 1.0×	313 1.1×	75 1.3×	54 1.2×	84 2.7×	17	462
Guðbjörg I. Aradóttir	293 1.0×	261 0.9×	102 1.7×	99 2.3×	17 0.5×	20	428
Greet Steenhuis‐Broers	306 1.0×	288 1.0×	74 1.3×	54 1.2×	13 0.4×	10	368
Johnson O. Nyasani	401 1.3×	221 0.7×	57 1.0×	92 2.1×	49 1.6×	19	488
Mohammadreza Rezapanah	222 0.7×	251 0.8×	46 0.8×	153 3.5×	30 1.0×	28	401
L. M. Gitonga	245 0.8×	356 1.2×	100 1.7×	83 1.9×	20 0.6×	17	423
Joseph E. Funderburk	383 1.2×	347 1.2×	90 1.5×	63 1.4×	31 1.0×	24	475
F. L. Poston	207 0.7×	269 0.9×	91 1.5×	118 2.7×	44 1.4×	25	371

Countries citing papers authored by M. O. Way

Since Specialization

Citations

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

Fields of papers citing papers by M. O. Way

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. O. Way

This figure shows the co-authorship network connecting the top 25 collaborators of M. O. Way. A scholar is included among the top collaborators of M. O. Way 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. O. Way. M. O. Way 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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