Oliver D. Dailey

52 total papers · 822 total citations
35 papers, 626 citations indexed

About

Oliver D. Dailey is a scholar working on Organic Chemistry, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Oliver D. Dailey has authored 35 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Organic Chemistry, 10 papers in Plant Science and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Oliver D. Dailey's work include Pesticide and Herbicide Environmental Studies (4 papers), Weed Control and Herbicide Applications (4 papers) and Oxidative Organic Chemistry Reactions (3 papers). Oliver D. Dailey is often cited by papers focused on Pesticide and Herbicide Environmental Studies (4 papers), Weed Control and Herbicide Applications (4 papers) and Oxidative Organic Chemistry Reactions (3 papers). Oliver D. Dailey collaborates with scholars based in United States. Oliver D. Dailey's co-authors include Clyde C. Dowler, Francis A. Carey, B. G. Mullinix, Naresh V. Mody, S. William Pelletier, P. L. Fuchs, William Hutton, John D. Olsen, Oscar Hernández and Robert A. Howd and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Oliver D. Dailey

35 papers receiving 583 citations

Author Peers

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

Author						Papers	Cites
Oliver D. Dailey	203	146	141	104	100	35	626
Yumei Zhang	144 0.7×	236 1.6×	136 1.0×	56 0.5×	45 0.5×	40	773
Wilhelm Pickenhagen	164 0.8×	209 1.4×	125 0.9×	73 0.7×	101 1.0×	28	650
Sachin B. Agawane	145 0.7×	209 1.4×	99 0.7×	38 0.4×	69 0.7×	33	690
Sergio A. Águila	67 0.3×	264 1.8×	154 1.1×	39 0.4×	70 0.7×	53	745
Chun‐Ping Lu	224 1.1×	321 2.2×	97 0.7×	40 0.4×	39 0.4×	39	758
Urooj Haroon	97 0.5×	140 1.0×	276 2.0×	94 0.9×	64 0.6×	59	748
J. W. Gramshaw	71 0.3×	103 0.7×	114 0.8×	116 1.1×	82 0.8×	36	679
J. Augustín	87 0.4×	175 1.2×	155 1.1×	81 0.8×	126 1.3×	51	621
Amna A. Saddiq	105 0.5×	113 0.8×	170 1.2×	47 0.5×	72 0.7×	48	683
Sara Cravo	167 0.8×	188 1.3×	137 1.0×	52 0.5×	52 0.5×	39	755

Countries citing papers authored by Oliver D. Dailey

Since Specialization

Citations

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

Fields of papers citing papers by Oliver D. Dailey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oliver D. Dailey. 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 Oliver D. Dailey. The network helps show where Oliver D. Dailey may publish in the future.

Co-authorship network of co-authors of Oliver D. Dailey

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver D. Dailey. A scholar is included among the top collaborators of Oliver D. Dailey 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 Oliver D. Dailey. Oliver D. Dailey 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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