M. A. Smith

1.4k total citations
33 papers, 1.0k citations indexed

About

M. A. Smith is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Ecology. According to data from OpenAlex, M. A. Smith has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Genetics and 7 papers in Ecology. Recurrent topics in M. A. Smith's work include Insect and Arachnid Ecology and Behavior (8 papers), Rangeland and Wildlife Management (7 papers) and Plant and animal studies (7 papers). M. A. Smith is often cited by papers focused on Insect and Arachnid Ecology and Behavior (8 papers), Rangeland and Wildlife Management (7 papers) and Plant and animal studies (7 papers). M. A. Smith collaborates with scholars based in United States, Australia and Germany. M. A. Smith's co-authors include S C Lam, Andrew L. Frelinger, Mark H. Ginsberg, James R. Roberts, E F Plow, Joseph C. Loftus, Edward F. Plow, Benjamin de Bivort, J. W. Waggoner and P. C. Whiteman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

M. A. Smith

31 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Smith United States 15 364 330 129 125 118 33 1.0k
Stuart W. Smith United Kingdom 21 36 0.1× 90 0.3× 369 2.9× 30 0.2× 82 0.7× 65 1.3k
Anna Sala Spain 24 404 1.1× 110 0.3× 259 2.0× 10 0.1× 68 0.6× 67 2.1k
N. Van Cong France 22 110 0.3× 67 0.2× 1.1k 8.2× 129 1.0× 204 1.7× 85 2.1k
Katarina Håkansson Sweden 20 29 0.1× 63 0.2× 441 3.4× 60 0.5× 52 0.4× 29 1.8k
Todd M. Wilson United States 17 222 0.6× 42 0.1× 160 1.2× 25 0.2× 78 0.7× 40 1.1k
Kazuo Kawamura Japan 24 33 0.1× 419 1.3× 648 5.0× 19 0.2× 19 0.2× 54 1.7k
G. Scurfield Australia 17 31 0.1× 189 0.6× 203 1.6× 7 0.1× 28 0.2× 43 1.1k
Susan G. Robbins United States 12 85 0.2× 19 0.1× 190 1.5× 230 1.8× 7 0.1× 16 838
James T. Nichols United States 18 54 0.1× 14 0.0× 858 6.7× 15 0.1× 33 0.3× 66 1.4k
Jessica L. Allen United States 19 36 0.1× 133 0.4× 215 1.7× 19 0.2× 156 1.3× 64 1.5k

Countries citing papers authored by M. A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. A. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Smith. A scholar is included among the top collaborators of M. A. Smith 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 M. A. Smith. M. A. Smith 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.
Churgin, Matthew A., et al.. (2025). A neural correlate of individual odor preference in Drosophila. eLife. 12. 1 indexed citations
2.
Ashman, Tia‐Lynn, James D. Crall, John M. Hranıtz, et al.. (2025). Plant-Pollinator Interactions in the Anthropocene: Why We Need a Systems Approach. Integrative and Comparative Biology. 65(4). 991–1006.
3.
Smith, M. A., et al.. (2023). Colony size buffers interactions between neonicotinoid exposure and cold stress in bumblebees. Proceedings of the Royal Society B Biological Sciences. 290(2003). 20230555–20230555. 8 indexed citations
4.
Churgin, Matthew A., et al.. (2023). A neural correlate of individual odor preference in Drosophila. eLife. 12.
5.
Smith, M. A., Kyle S. Honegger, Glenn Turner, & Benjamin de Bivort. (2022). Idiosyncratic learning performance in flies. Biology Letters. 18(2). 20210424–20210424. 15 indexed citations
6.
Bivort, Benjamin de, Sean M. Buchanan, Kyobi Skutt-Kakaria, et al.. (2022). Precise Quantification of Behavioral Individuality From 80 Million Decisions Across 183,000 Flies. Frontiers in Behavioral Neuroscience. 16. 836626–836626. 16 indexed citations
7.
Honegger, Kyle S., M. A. Smith, Matthew A. Churgin, Glenn Turner, & Benjamin de Bivort. (2019). Idiosyncratic neural coding and neuromodulation of olfactory individuality in Drosophila. Proceedings of the National Academy of Sciences. 117(38). 23292–23297. 44 indexed citations
8.
Smith, M. A., et al.. (2019). Idiosyncratic neural coding and neuromodulation of olfactory individuality in Drosophila. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
9.
Wu, Hong & M. A. Smith. (2013). The Generalization of Visuomotor Learning to Untrained Movements and Movement Sequences Based on Movement Vector and Goal Location Remapping. Journal of Neuroscience. 33(26). 10772–10789. 29 indexed citations
10.
Khaitan, Divya, Marcel E. Dinger, Joseph Mazar, et al.. (2011). The melanoma-upregulated long noncoding RNA SPRY4-IN1 modulates apoptosis and invasion. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
11.
Castro, L. Nicolas Gonzalez, et al.. (2011). Adaptation to dynamic environments displays local generalization for voluntary reaching movements. PubMed. 2011. 4050–4052. 4 indexed citations
12.
13.
Marriott, C. A., et al.. (1997). Persistence and colonization of gaps in sown swards of grass and clover under different sward managements. Grass and Forage Science. 52(2). 156–166. 17 indexed citations
14.
Hart, Richard H., et al.. (1991). Grazing Systems, Stocking Rates, and Cattle Behavior in Southeastern Wyoming. Journal of Range Management. 44(3). 259–259. 28 indexed citations
15.
Hart, Richard H., Marilyn J. Samuel, J. W. Waggoner, & M. A. Smith. (1989). Comparisons of grazing systems in Wyoming. Journal of Soil and Water Conservation. 44(4). 344–347. 9 indexed citations
16.
Smith, M. A., et al.. (1986). Selection for resistance to Cochliobolus sativus in tall fescue (Festuca arundinacea Schreb.). Theoretical and Applied Genetics. 72(6). 807–810. 2 indexed citations
17.
Smith, M. A., et al.. (1986). Effects of Drechslera sorokiniana infection on the yield and quality of tall fescue forage. Animal Feed Science and Technology. 15(1). 41–46. 3 indexed citations
18.
Smith, M. A. & P. C. Whiteman. (1985). Animal production from rotationally-grazed natural and sown pastures under coconuts at three stocking rates in the Solomon Islands. The Journal of Agricultural Science. 104(1). 173–180. 4 indexed citations
19.
Smith, M. A. & P. C. Whiteman. (1985). Grazing studies on the Guadalcanal Plains, Solomon Islands. The Journal of Agricultural Science. 104(1). 181–189. 4 indexed citations
20.
Plumb, Glenn, L. J. Krysl, M. E. Hubbert, M. A. Smith, & J. W. Waggoner. (1984). Horses and Cattle Grazing on the Wyoming Red Desert, III. Journal of Range Management. 37(2). 130–130. 1 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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