Dean P. Smith

6.5k total citations · 1 hit paper
70 papers, 5.2k citations indexed

About

Dean P. Smith is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Insect Science. According to data from OpenAlex, Dean P. Smith has authored 70 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cellular and Molecular Neuroscience, 23 papers in Molecular Biology and 23 papers in Insect Science. Recurrent topics in Dean P. Smith's work include Neurobiology and Insect Physiology Research (48 papers), Insect Utilization and Effects (19 papers) and Insect and Arachnid Ecology and Behavior (15 papers). Dean P. Smith is often cited by papers focused on Neurobiology and Insect Physiology Research (48 papers), Insect Utilization and Effects (19 papers) and Insect and Arachnid Ecology and Behavior (15 papers). Dean P. Smith collaborates with scholars based in United States, China and United Kingdom. Dean P. Smith's co-authors include Tal Soo Ha, David N. M. Jones, Savitha Kalidas, Pingxi Xu, Kathleen A. Galindo, Charles S. Zuker, Qinghua Liu, John D. Laughlin, Xin Jin and Tim Rand and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Dean P. Smith

70 papers receiving 5.1k citations

Hit Papers

R2D2, a Bridge Between the Initiation and Effector Steps ... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean P. Smith United States 33 3.3k 2.0k 1.9k 1.7k 635 70 5.2k
Christopher J. Potter United States 38 2.3k 0.7× 638 0.3× 2.7k 1.4× 1.2k 0.7× 750 1.2× 73 5.3k
Shireen A. Davies United Kingdom 34 2.0k 0.6× 1.0k 0.5× 1.7k 0.9× 726 0.4× 690 1.1× 61 3.9k
Tatsuhiko Kadowaki Japan 32 602 0.2× 933 0.5× 1.3k 0.7× 716 0.4× 341 0.5× 66 2.8k
Koen J. T. Venken United States 30 1.8k 0.5× 268 0.1× 3.2k 1.7× 904 0.5× 468 0.7× 50 4.8k
Michael J. Pankratz Germany 32 1.5k 0.4× 476 0.2× 1.6k 0.8× 791 0.5× 458 0.7× 59 3.3k
Verônica Rodrigues India 35 2.3k 0.7× 745 0.4× 1.1k 0.6× 844 0.5× 597 0.9× 78 3.4k
Kim Kaiser United Kingdom 26 2.2k 0.7× 403 0.2× 1.7k 0.9× 976 0.6× 502 0.8× 51 3.5k
Ryusuke Niwa Japan 37 2.3k 0.7× 1.3k 0.7× 2.0k 1.1× 1.0k 0.6× 583 0.9× 87 4.7k
Maurizio Pellegrino United States 19 1.4k 0.4× 901 0.5× 535 0.3× 621 0.4× 318 0.5× 27 3.1k
Hironori Ishizaki Japan 34 2.4k 0.7× 1.3k 0.6× 969 0.5× 914 0.5× 417 0.7× 95 3.2k

Countries citing papers authored by Dean P. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Dean P. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean P. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Dean P. Smith. A scholar is included among the top collaborators of Dean P. 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 Dean P. Smith. Dean P. 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.
Guo, Hao, Guo‐Cheng Li, Ling‐Qiao Huang, et al.. (2022). Sex pheromone communication in an insect parasitoid, Campoletis chlorideae Uchida. Proceedings of the National Academy of Sciences. 119(49). e2215442119–e2215442119. 27 indexed citations
2.
Poudel, Seeta, Hao Guo, & Dean P. Smith. (2021). PKC98E Regulates Odorant Responses inDrosophila melanogaster. Journal of Neuroscience. 41(18). 3948–3957. 5 indexed citations
3.
Park, Annie, et al.. (2020). Alcohol potentiates a pheromone signal in flies. eLife. 9. 6 indexed citations
4.
Smith, Dean P., et al.. (2017). Odorant Receptor Sensitivity Modulation inDrosophila. Journal of Neuroscience. 37(39). 9465–9473. 46 indexed citations
5.
Meeks, Julian P., et al.. (2016). Odorant Responses and Courtship Behaviors Influenced by at4 Neurons in Drosophila. PLoS ONE. 11(9). e0162761–e0162761. 19 indexed citations
6.
Lin, Chun‐Chieh, et al.. (2014). Farnesol-Detecting Olfactory Neurons inDrosophila. Journal of Neuroscience. 34(11). 3959–3968. 83 indexed citations
7.
Smith, Dean P., et al.. (2011). LUMP Is a Putative Double-Stranded RNA Binding Protein Required for Male Fertility in Drosophila melanogaster. PLoS ONE. 6(8). e24151–e24151. 7 indexed citations
8.
Kwon, Young V., Sang Hoon Kim, Youngseok Lee, et al.. (2010). Drosophila TRPA1 Channel Is Required to Avoid the Naturally Occurring Insect Repellent Citronellal. Current Biology. 20(18). 1672–1678. 158 indexed citations
9.
Smith, Dean P., et al.. (2009). Diverse signaling mechanisms mediate volatile odorant detection in Drosophila. Fly. 3(4). 290–297. 32 indexed citations
10.
Ha, Tal Soo & Dean P. Smith. (2008). Insect Odorant Receptors: Channeling Scent. Cell. 133(5). 761–763. 13 indexed citations
11.
Xu, Pingxi, et al.. (2005). Drosophila OBP LUSH Is Required for Activity of Pheromone-Sensitive Neurons. Neuron. 45(2). 193–200. 424 indexed citations
12.
Liu, Qinghua, Tim Rand, Savitha Kalidas, et al.. (2003). R2D2, a Bridge Between the Initiation and Effector Steps of the Drosophila RNAi Pathway. Science. 301(5641). 1921–1925. 538 indexed citations breakdown →
13.
Kalidas, Savitha & Dean P. Smith. (2003). Functional Genomics, Fragile X Syndrome, and RNA Interference. Archives of Neurology. 60(9). 1197–200. 11 indexed citations
14.
Smith, Dean P.. (2001). LIP1, a cytoplasmic protein functionally linked to the Peutz-Jeghers syndrome kinase LKB1. Human Molecular Genetics. 10(25). 2869–2877. 74 indexed citations
15.
Smith, Dean P.. (2001). Drosophila Gustation. Neuron. 29(3). 551–554. 4 indexed citations
16.
Smith, Dean P., et al.. (2001). Putative Drosophila odor receptor OR43b localizes to dendrites of olfactory neurons. Insect Biochemistry and Molecular Biology. 31(8). 791–798. 32 indexed citations
17.
Pfragner, Roswitha, A. Behmel, Dean P. Smith, et al.. (1998). First continuous human pheochromocytoma cell line: KNA Biological, cytogenetic and molecular characterization of KNA cells. Journal of Neurocytology. 27(3). 175–186. 17 indexed citations
18.
Oyasu, Ryoichi, Nan Li, Dean P. Smith, & Hitoshi Kawamata. (1994). Human chorionic gonadotropin beta-subunit synthesis by undifferentiated urothelial carcinoma with syncytiotrophoblastic differentiation.. PubMed. 118(7). 715–7. 9 indexed citations
19.
LeVine, Harry, et al.. (1990). Isolation of a novel visual-system-specific arrestin: an in vivo substrate for light-dependent phosphorylation. Mechanisms of Development. 33(1). 19–25. 65 indexed citations
20.
Schaeffer, Eric, Dean P. Smith, Graeme Mardon, William G. Quinn, & Charles S. Zuker. (1989). Isolation and characterization of two new Drosophila protein kinase C genes, including one specifically expressed in photoreceptor cells. Cell. 57(3). 403–412. 142 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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