David Hoekman

2.4k total citations
37 papers, 1.8k citations indexed

About

David Hoekman is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, David Hoekman has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, Evolution, Behavior and Systematics, 13 papers in Ecology and 12 papers in Nature and Landscape Conservation. Recurrent topics in David Hoekman's work include Plant and animal studies (12 papers), Isotope Analysis in Ecology (8 papers) and Fish Ecology and Management Studies (7 papers). David Hoekman is often cited by papers focused on Plant and animal studies (12 papers), Isotope Analysis in Ecology (8 papers) and Fish Ecology and Management Studies (7 papers). David Hoekman collaborates with scholars based in United States, United Kingdom and Canada. David Hoekman's co-authors include Albert J. Leo, Corwin Hansch, Sherwin Carlquist, Claudio Gratton, Hua Gao, Jamin Dreyer, William E. Acree, Michael H. Abraham, Cynthia Dias Selassie and David Weininger and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Ecology.

In The Last Decade

David Hoekman

37 papers receiving 1.7k 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 Hoekman United States 22 405 380 347 320 303 37 1.8k
Timothy D. Perkins United States 23 277 0.7× 222 0.6× 480 1.4× 307 1.0× 152 0.5× 68 1.6k
Steven P. Bradbury United States 35 292 0.7× 1.1k 2.8× 189 0.5× 418 1.3× 280 0.9× 111 3.9k
Paul D. Johnson United States 28 607 1.5× 88 0.2× 277 0.8× 525 1.6× 63 0.2× 105 2.8k
Achim Meyer Germany 19 591 1.5× 200 0.5× 75 0.2× 887 2.8× 301 1.0× 41 2.1k
Julia Kubanek United States 41 1.2k 2.9× 68 0.2× 145 0.4× 1.1k 3.3× 276 0.9× 126 4.6k
Michal Oravec Czechia 24 167 0.4× 95 0.3× 88 0.3× 534 1.7× 159 0.5× 93 1.9k
Timothy E. Lawlor United States 26 471 1.2× 165 0.4× 130 0.4× 762 2.4× 248 0.8× 56 3.4k
Michael D. Kahl United States 42 269 0.7× 127 0.3× 1.1k 3.1× 561 1.8× 71 0.2× 106 5.7k
Daniel J. Call United States 25 191 0.5× 349 0.9× 71 0.2× 117 0.4× 18 0.1× 53 2.1k
James T. Oris United States 35 448 1.1× 54 0.1× 364 1.0× 242 0.8× 75 0.2× 127 3.2k

Countries citing papers authored by David Hoekman

Since Specialization
Citations

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

Fields of papers citing papers by David Hoekman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hoekman

This figure shows the co-authorship network connecting the top 25 collaborators of David Hoekman. A scholar is included among the top collaborators of David Hoekman 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 Hoekman. David Hoekman 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.
Hoekman, David, et al.. (2022). Spatial and Seasonal Patterns of the Mosquito Community in Central Oklahoma. Pathogens. 11(9). 1007–1007. 2 indexed citations
2.
Abraham, Michael H., et al.. (2019). A new method for the determination of Henry's law constants (air-water-partition coefficients). Fluid Phase Equilibria. 502. 112300–112300. 22 indexed citations
3.
Bartrons, Mireia, Jordi Sardans, David Hoekman, & Josep Peñuelas. (2018). Trophic transfer from aquatic to terrestrial ecosystems: a test of the biogeochemical niche hypothesis. Ecosphere. 9(7). 22 indexed citations
4.
Gratton, Claudio, David Hoekman, Jamin Dreyer, & Randall D. Jackson. (2017). Increased duration of aquatic resource pulse alters community and ecosystem responses in a subarctic plant community. Ecology. 98(11). 2860–2872. 20 indexed citations
5.
Dreyer, Jamin, David Hoekman, & Claudio Gratton. (2015). Positive indirect effect of aquatic insects on terrestrial prey is not offset by increased predator density. Ecological Entomology. 41(1). 61–71. 6 indexed citations
6.
Hoekman, David, et al.. (2014). Terrestrial deposition of aquatic insects increases plant quality for insect herbivores and herbivore density. Ecological Entomology. 39(4). 419–426. 23 indexed citations
7.
Hoekman, David, Mireia Bartrons, & Claudio Gratton. (2012). Ecosystem linkages revealed by experimental lake-derived isotope signal in heathland food webs. Oecologia. 170(3). 735–743. 29 indexed citations
8.
Choate, David M., Chelse M. Prather, Ashley K. Baldridge, et al.. (2012). Integrating Theoretical Components: A Graphical Model for Graduate Students and Researchers. BioScience. 62(6). 594–602. 3 indexed citations
9.
Hoekman, David, Jamin Dreyer, Randall D. Jackson, Philip A. Townsend, & Claudio Gratton. (2011). Lake to land subsidies: Experimental addition of aquatic insects increases terrestrial arthropod densities. Ecology. 92(11). 2063–2072. 76 indexed citations
10.
Dreyer, Jamin, David Hoekman, & Claudio Gratton. (2011). Lake‐derived midges increase abundance of shoreline terrestrial arthropods via multiple trophic pathways. Oikos. 121(2). 252–258. 55 indexed citations
11.
Hoekman, David. (2010). Turning up the heat: Temperature influences the relative importance of top‐down and bottom‐up effects. Ecology. 91(10). 2819–2825. 108 indexed citations
12.
13.
Abraham, Michael H., William E. Acree, Albert J. Leo, David Hoekman, & Joseph E. Cavanaugh. (2009). Water–Solvent Partition Coefficients and Δ Log P Values as Predictors for Blood–Brain Distribution; Application of the Akaike Information Criterion. Journal of Pharmaceutical Sciences. 99(5). 2492–2501. 25 indexed citations
14.
Abraham, Michael H., William E. Acree, Albert J. Leo, & David Hoekman. (2009). Partition of compounds from water and from air into the wet and dry monohalobenzenes. New Journal of Chemistry. 33(8). 1685–1685. 39 indexed citations
15.
Sprunger, Laura M., et al.. (2009). Correlation and prediction of solute transfer to chloroalkanes from both water and the gas phase. Fluid Phase Equilibria. 281(2). 144–162. 50 indexed citations
16.
17.
Hansch, Corwin, Wayne E. Steinmetz, Albert J. Leo, et al.. (2002). On the Role of Polarizability in Chemical−Biological Interactions. Journal of Chemical Information and Computer Sciences. 43(1). 120–125. 82 indexed citations
18.
Hansch, Corwin, David Hoekman, & Hua Gao. (1996). Comparative QSAR:  Toward a Deeper Understanding of Chemicobiological Interactions. Chemical Reviews. 96(3). 1045–1076. 187 indexed citations
19.
Hansch, Corwin, David Hoekman, Albert J. Leo, Litai Zhang, & Peng Li. (1995). The expanding role of quantitative structure-activity relationships (QSAR) in toxicology. Toxicology Letters. 79(1-3). 45–53. 153 indexed citations
20.
Carlquist, Sherwin & David Hoekman. (1985). Ecological Wood Anatomy of the Woody Southern Californian Flora. IAWA Journal - KU Leuven/IAWA Journal. 6(4). 319–347. 235 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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