David M. Lehmann

1.8k total citations
44 papers, 1.3k citations indexed

About

David M. Lehmann is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, David M. Lehmann has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Insect Science, 16 papers in Ecology, Evolution, Behavior and Systematics and 14 papers in Genetics. Recurrent topics in David M. Lehmann's work include Insect and Pesticide Research (17 papers), Plant and animal studies (16 papers) and Insect and Arachnid Ecology and Behavior (14 papers). David M. Lehmann is often cited by papers focused on Insect and Pesticide Research (17 papers), Plant and animal studies (16 papers) and Insect and Arachnid Ecology and Behavior (14 papers). David M. Lehmann collaborates with scholars based in United States, Canada and United Kingdom. David M. Lehmann's co-authors include Alan V. Smrcka, Allison A. Camp, Chujun Yuan, Sundeep Malik, Dianqing Wu, Tabetha M. Bonacci, Jose L. Font, Jean M. Bidlack, Jennifer Mathews and Judy Strickland and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

David M. Lehmann

43 papers receiving 1.3k 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 M. Lehmann United States 19 464 405 367 306 165 44 1.3k
Francesca Boscaro Italy 19 244 0.5× 186 0.5× 340 0.9× 284 0.9× 75 0.5× 29 1.1k
Mingqiang Rong China 24 980 2.1× 188 0.5× 38 0.1× 496 1.6× 184 1.1× 69 1.9k
Akio Shiraishi Japan 20 342 0.7× 219 0.5× 101 0.3× 78 0.3× 359 2.2× 44 1.1k
Zeyu Jiang China 22 969 2.1× 239 0.6× 169 0.5× 351 1.1× 702 4.3× 52 2.3k
Jason M. Meyer United States 20 529 1.1× 416 1.0× 58 0.2× 75 0.2× 108 0.7× 51 1.3k
Shilong Yang China 20 642 1.4× 145 0.4× 61 0.2× 396 1.3× 259 1.6× 75 1.4k
Koichi Hasegawa Japan 23 532 1.1× 267 0.7× 45 0.1× 190 0.6× 131 0.8× 91 1.5k
John B. Williams United States 22 787 1.7× 34 0.1× 156 0.4× 250 0.8× 115 0.7× 31 1.7k
Max de Reggi France 23 371 0.8× 338 0.8× 95 0.3× 303 1.0× 520 3.2× 48 1.5k
Nancy H. Ing United States 28 867 1.9× 90 0.2× 86 0.2× 990 3.2× 109 0.7× 67 2.3k

Countries citing papers authored by David M. Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by David M. Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Lehmann

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Lehmann. A scholar is included among the top collaborators of David M. Lehmann 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 M. Lehmann. David M. Lehmann 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.
Figueroa, Laura L., Ben M. Sadd, Amber D. Tripodi, et al.. (2023). Endosymbionts that threaten commercially raised and wild bumble bees (Bombus spp.). Journal of Pollination Ecology. 33. 14–36. 17 indexed citations
2.
Evans, Elaine, James P. Strange, Ben M. Sadd, et al.. (2023). Parasites, parasitoids, and hive products that are potentially deleterious to wild and commercially raised bumble bees (Bombus spp.) in North America. Journal of Pollination Ecology. 33(3). 37–53. 9 indexed citations
3.
Strange, James P., Sheila R. Colla, Michelle A. Duennes, et al.. (2023). An evidence-based rationale for a North American commercial bumble bee clean stock certification program. Journal of Pollination Ecology. 33. 1–13. 8 indexed citations
4.
5.
6.
Lehmann, David M. & Allison A. Camp. (2021). A systematic scoping review of the methodological approaches and effects of pesticide exposure on solitary bees. PLoS ONE. 16(5). e0251197–e0251197. 25 indexed citations
7.
Camp, Allison A., et al.. (2020). Effects of the neonicotinoid acetamiprid in syrup on Bombus impatiens (Hymenoptera: Apidae) microcolony development. PLoS ONE. 15(10). e0241111–e0241111. 15 indexed citations
8.
Lehmann, David M., et al.. (2019). A cost-effective colourimetric assay for quantifying hydrogen peroxide in honey. Access Microbiology. 1(10). e000065–e000065. 16 indexed citations
9.
Strickland, Judy, David Allen, Simona Bancos, et al.. (2018). Skin sensitization testing needs and data uses by US regulatory and research agencies. Archives of Toxicology. 93(2). 273–291. 18 indexed citations
10.
Lehmann, David M.. (2018). Use of the LLNA:BrdU-ELISA for Skin Sensitization Hazard Assessment. Methods in molecular biology. 1803. 101–116. 2 indexed citations
11.
Surve, Chinmay R., David M. Lehmann, & Alan V. Smrcka. (2014). A Chemical Biology Approach Demonstrates G Protein βγ Subunits Are Sufficient to Mediate Directional Neutrophil Chemotaxis. Journal of Biological Chemistry. 289(25). 17791–17801. 39 indexed citations
12.
Lehmann, David M. & Mary Richardson. (2010). Impact of assay selection and study design on the outcome of cytotoxicity testing of medical devices: The case of multi-purpose vision care solutions. Toxicology in Vitro. 24(4). 1306–1313. 11 indexed citations
13.
Degrave, Alexandre, et al.. (2010). Detection of Mollicutes in bioreactor samples by real-time transcription-mediated amplification. Letters in Applied Microbiology. 50(6). 633–638. 7 indexed citations
14.
Wang, Zhenglong, Yosuke Kumamoto, Ping Wang, et al.. (2009). Regulation of Immature Dendritic Cell Migration by RhoA Guanine Nucleotide Exchange Factor Arhgef5. Journal of Biological Chemistry. 284(42). 28599–28606. 39 indexed citations
15.
Lehmann, David M., et al.. (2008). G Protein β γ Subunits as Targets for Small Molecule Therapeutic Development. Combinatorial Chemistry & High Throughput Screening. 11(5). 382–395. 43 indexed citations
16.
Lehmann, David M., et al.. (2007). Small Molecule Disruption of G Protein βγ Subunit Signaling Inhibits Neutrophil Chemotaxis and Inflammation. Molecular Pharmacology. 73(2). 410–418. 197 indexed citations
17.
Lehmann, David M., Chujun Yuan, & Alan V. Smrcka. (2007). Analysis and Pharmacological Targeting of Phospholipase C β Interactions with G Proteins. Methods in enzymology on CD-ROM/Methods in enzymology. 434. 29–48. 7 indexed citations
18.
Lehmann, David M.. (2006). Metabolic regulation of ApoB mRNA editing is associated with phosphorylation of APOBEC-1 complementation factor. Nucleic Acids Research. 34(11). 3299–3308. 23 indexed citations
19.
Lehmann, David M., et al.. (2006). Functional characterization of APOBEC-1 complementation factor phosphorylation sites. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1773(3). 408–418. 11 indexed citations
20.
Sowden, Mark P., et al.. (2003). Identification of Novel Alternative Splice Variants of APOBEC-1 Complementation Factor with Different Capacities to Support Apolipoprotein B mRNA Editing. Journal of Biological Chemistry. 279(1). 197–206. 21 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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