David J. Hearn

1.1k total citations
29 papers, 860 citations indexed

About

David J. Hearn is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology and Plant Science. According to data from OpenAlex, David J. Hearn has authored 29 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, Evolution, Behavior and Systematics, 7 papers in Molecular Biology and 7 papers in Plant Science. Recurrent topics in David J. Hearn's work include Plant Diversity and Evolution (11 papers), Plant and animal studies (10 papers) and Insect symbiosis and bacterial influences (6 papers). David J. Hearn is often cited by papers focused on Plant Diversity and Evolution (11 papers), Plant and animal studies (10 papers) and Insect symbiosis and bacterial influences (6 papers). David J. Hearn collaborates with scholars based in United States, France and Spain. David J. Hearn's co-authors include Anne M. Estes, Elizabeth A. Pierson, Margaret E. K. Evans, Judith L. Bronstein, D. Lawrence Venable, William J. Hahn, Julie C. Dunning Hotopp, Kathleen M. Pryer, Hannah J. Burrack and Polychronis Rempoulakis and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

David J. Hearn

29 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Hearn United States 18 400 291 256 232 144 29 860
Robert N. Schaeffer United States 15 466 1.2× 423 1.5× 128 0.5× 301 1.3× 116 0.8× 29 719
J. Playford Australia 14 322 0.8× 442 1.5× 225 0.9× 131 0.6× 136 0.9× 27 736
Juan Fornoni Mexico 15 496 1.2× 383 1.3× 155 0.6× 155 0.7× 97 0.7× 41 694
Marcia González‐Teuber Chile 19 722 1.8× 676 2.3× 183 0.7× 294 1.3× 320 2.2× 42 1.2k
Gabriela Gleiser Argentina 16 419 1.0× 244 0.8× 118 0.5× 148 0.6× 147 1.0× 28 550
Santiago Benitez‐Vieyra Argentina 16 698 1.7× 459 1.6× 195 0.8× 96 0.4× 111 0.8× 44 793
Clive T. Darwell United States 12 371 0.9× 232 0.8× 92 0.4× 143 0.6× 208 1.4× 32 575
Ilse Silberbauer-Gottsberger Germany 19 888 2.2× 554 1.9× 255 1.0× 189 0.8× 87 0.6× 29 1.0k
Isabela Galarda Varassin Brazil 20 839 2.1× 527 1.8× 182 0.7× 100 0.4× 88 0.6× 55 968
Lisa E. Wallace United States 18 600 1.5× 469 1.6× 252 1.0× 87 0.4× 474 3.3× 55 1.0k

Countries citing papers authored by David J. Hearn

Since Specialization
Citations

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

Fields of papers citing papers by David J. Hearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Hearn. 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 David J. Hearn. The network helps show where David J. Hearn may publish in the future.

Co-authorship network of co-authors of David J. Hearn

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Hearn. A scholar is included among the top collaborators of David J. Hearn 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 David J. Hearn. David J. Hearn 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.
Hearn, David J.. (2019). Turing-like mechanism in a stochastic reaction-diffusion model recreates three dimensional vascular patterning of plant stems. PLoS ONE. 14(7). e0219055–e0219055. 5 indexed citations
2.
Estes, Anne M., David J. Hearn, Sonia Agrawal, Elizabeth A. Pierson, & Julie C. Dunning Hotopp. (2018). Comparative genomics of the Erwinia and Enterobacter olive fly endosymbionts. Scientific Reports. 8(1). 15936–15936. 17 indexed citations
3.
Hearn, David J., et al.. (2018). Dispersal is associated with morphological innovation, but not increased diversification, inCyphostemma(Vitaceae). Journal of Systematics and Evolution. 56(4). 340–359. 25 indexed citations
4.
Oufiero, Christopher E., Joseph F. Sanchez, Larry E. Wimmers, et al.. (2018). Identifying New Small Proteins in Escherichia coli. PROTEOMICS. 18(10). e1700064–e1700064. 44 indexed citations
5.
6.
Estes, Anne M., David J. Hearn, Suvarna Nadendla, Elizabeth A. Pierson, & Julie C. Dunning Hotopp. (2018). Draft Genome Sequence of Erwinia dacicola , a Dominant Endosymbiont of Olive Flies. Microbiology Resource Announcements. 7(10). 3 indexed citations
7.
Evans, Michael N., Xavier Aubriot, David J. Hearn, et al.. (2014). Insights on the Evolution of Plant Succulence from a Remarkable Radiation in Madagascar (Euphorbia). Systematic Biology. 63(5). 697–711. 43 indexed citations
8.
Hearn, David J., et al.. (2014). Conservation analysis of the CydX protein yields insights into small protein identification and evolution. BMC Genomics. 15(1). 946–946. 33 indexed citations
9.
Estes, Anne M., et al.. (2013). Brood Ball-Mediated Transmission of Microbiome Members in the Dung Beetle, Onthophagus taurus (Coleoptera: Scarabaeidae). PLoS ONE. 8(11). e79061–e79061. 80 indexed citations
10.
Pignal, Marc, Roxana Yockteng, David J. Hearn, & Jean‐Noël Labat. (2013). <i>Adenia barthelatii</i> (Passifloraceae), a new endemic species of Mayotte and its phylogenetic status within the genus <i>Adenia</i>. Phytotaxa. 99(1). 40–40. 2 indexed citations
11.
12.
Estes, Anne M., David J. Hearn, Hannah J. Burrack, Polychronis Rempoulakis, & Elizabeth A. Pierson. (2012). Prevalence of <I>Candidatus</I> Erwinia dacicola in Wild and Laboratory Olive Fruit Fly Populations and Across Developmental Stages. Environmental Entomology. 41(2). 265–274. 56 indexed citations
13.
Evans, Margaret E. K., et al.. (2011). Extreme environments select for reproductive assurance: evidence from evening primroses ( Oenothera ). New Phytologist. 191(2). 555–563. 24 indexed citations
14.
Wang, Dongfang, Changqing Zhang, David J. Hearn, et al.. (2010). Identification of transcription-factor genes expressed in the Arabidopsis female gametophyte. BMC Plant Biology. 10(1). 110–110. 48 indexed citations
15.
16.
Estes, Anne M., David J. Hearn, Judith L. Bronstein, & Elizabeth A. Pierson. (2009). The Olive Fly Endosymbiont, “CandidatusErwinia dacicola,” Switches from an Intracellular Existence to an Extracellular Existence during Host Insect Development. Applied and Environmental Microbiology. 75(22). 7097–7106. 98 indexed citations
17.
Pryer, Kathleen M. & David J. Hearn. (2008). EVOLUTION OF LEAF FORM IN MARSILEACEOUS FERNS: EVIDENCE FOR HETEROCHRONY. Evolution. 63(2). 498–513. 25 indexed citations
18.
Evans, Margaret E. K., et al.. (2005). CLIMATE AND LIFE-HISTORY EVOLUTION IN EVENING PRIMROSES (OENOTHERA, ONAGRACEAE): A PHYLOGENETIC COMPARATIVE ANALYSIS. Evolution. 59(9). 1914–1914. 6 indexed citations
19.
Hearn, David J.. (2004). Growth form evolution in Adenia (Passifloraceae) and a model of the evolution of succulence. UA Campus Repository (The University of Arizona). 8 indexed citations
20.
Halpern, Ben, et al.. (1998). Diversity and abundance of understorey plants on active and abandoned nests of leaf-cutting ants (Atta cephalotes) in a Costa Rican rain forest. Journal of Tropical Ecology. 14(1). 17–26. 56 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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