Dana K. Howe

51 total papers · 1.5k total citations
41 papers, 1.0k citations indexed

About

Dana K. Howe is a scholar working on Insect Science, Plant Science and Molecular Biology. According to data from OpenAlex, Dana K. Howe has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Insect Science, 19 papers in Plant Science and 15 papers in Molecular Biology. Recurrent topics in Dana K. Howe's work include Nematode management and characterization studies (17 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and Insect symbiosis and bacterial influences (9 papers). Dana K. Howe is often cited by papers focused on Nematode management and characterization studies (17 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and Insect symbiosis and bacterial influences (9 papers). Dana K. Howe collaborates with scholars based in United States, Canada and United Kingdom. Dana K. Howe's co-authors include Dee R. Denver, Inga A. Zasada, Charles F. Baer, Amy B. Peetz, Larry Wilhelm, Amanda M. V. Brown, Peter Dolan, Suzanne Estes, José Ignacio Lucas‐Lledó and W. Kelley Thomas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dana K. Howe

39 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Dana K. Howe	396	379	358	311	222	41	1.0k
Daniel E. Cook	420 1.1×	414 1.1×	212 0.6×	68 0.2×	134 0.6×	35	1.1k
Stefan Zdraljevic	338 0.9×	417 1.1×	184 0.5×	77 0.2×	161 0.7×	27	981
Etsuko T. Matsuura	764 1.9×	380 1.0×	137 0.4×	155 0.5×	196 0.9×	33	1.2k
Carla De Giorgi	451 1.1×	164 0.4×	260 0.7×	133 0.4×	205 0.9×	25	863
Antoine Barrière	388 1.0×	511 1.3×	297 0.8×	189 0.6×	200 0.9×	18	1.2k
Holman C. Massey	278 0.7×	103 0.3×	80 0.2×	126 0.4×	329 1.5×	19	820
Marc P. Hoeppner	644 1.6×	331 0.9×	122 0.3×	44 0.1×	195 0.9×	30	1.2k
Bradley C. Hyman	428 1.1×	222 0.6×	334 0.9×	118 0.4×	321 1.4×	37	888
Emmanuel Jovelin	221 0.6×	336 0.9×	114 0.3×	91 0.3×	303 1.4×	51	807
Scott W. Emmons	678 1.7×	287 0.8×	255 0.7×	66 0.2×	236 1.1×	17	1.1k

Countries citing papers authored by Dana K. Howe

Since Specialization

Citations

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

Fields of papers citing papers by Dana K. Howe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana K. Howe. 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 Dana K. Howe. The network helps show where Dana K. Howe may publish in the future.

Co-authorship network of co-authors of Dana K. Howe

This figure shows the co-authorship network connecting the top 25 collaborators of Dana K. Howe. A scholar is included among the top collaborators of Dana K. Howe 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 Dana K. Howe. Dana K. Howe 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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