Paul Garrity

9.1k total citations · 2 hit papers
55 papers, 6.1k citations indexed

About

Paul Garrity is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology. According to data from OpenAlex, Paul Garrity has authored 55 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cellular and Molecular Neuroscience, 22 papers in Molecular Biology and 15 papers in Ecology. Recurrent topics in Paul Garrity's work include Neurobiology and Insect Physiology Research (38 papers), Physiological and biochemical adaptations (15 papers) and Insect and Arachnid Ecology and Behavior (14 papers). Paul Garrity is often cited by papers focused on Neurobiology and Insect Physiology Research (38 papers), Physiological and biochemical adaptations (15 papers) and Insect and Arachnid Ecology and Behavior (14 papers). Paul Garrity collaborates with scholars based in United States, United Kingdom and Switzerland. Paul Garrity's co-authors include KyeongJin Kang, Stefan R. Pulver, Mark R. Rosenzweig, S Lawrence Zipursky, B Wold, Leslie C. Griffith, Elaine C. Chang, Fumika N. Hamada, Timothy Jegla and Alfredo Ghezzi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Paul Garrity

55 papers receiving 6.1k citations

Hit Papers

An internal thermal sensor controlling temperature prefer... 2008 2026 2014 2020 2008 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Garrity United States 39 3.9k 1.9k 1.5k 990 931 55 6.1k
Jing W. Wang United States 29 4.6k 1.2× 1.1k 0.6× 1.8k 1.2× 478 0.5× 1.1k 1.2× 56 5.3k
Leslie C. Griffith United States 45 4.8k 1.2× 2.1k 1.1× 1.5k 1.0× 1.5k 1.5× 573 0.6× 111 6.2k
Hiromu Tanimoto Japan 39 5.0k 1.3× 1.4k 0.8× 2.3k 1.6× 625 0.6× 1.1k 1.2× 85 6.0k
Scott Waddell United Kingdom 42 5.3k 1.3× 1.3k 0.7× 2.5k 1.7× 784 0.8× 1.3k 1.4× 77 6.8k
Thomas Préat France 41 4.0k 1.0× 1.9k 1.0× 1.7k 1.1× 573 0.6× 869 0.9× 96 6.0k
Jay Hirsh United States 46 4.6k 1.2× 2.4k 1.3× 2.0k 1.3× 1.0k 1.0× 1.1k 1.2× 89 6.8k
Kei Ito Japan 45 6.3k 1.6× 1.9k 1.0× 2.9k 2.0× 560 0.6× 998 1.1× 115 7.8k
Toshihiro Kitamoto United States 31 3.2k 0.8× 1.1k 0.6× 1.3k 0.9× 628 0.6× 681 0.7× 74 4.0k
Ralph J. Greenspan United States 46 4.5k 1.1× 1.8k 1.0× 2.2k 1.5× 1.6k 1.6× 826 0.9× 101 7.6k
Erich Buchner Germany 35 4.5k 1.1× 2.5k 1.3× 1.3k 0.9× 489 0.5× 609 0.7× 65 6.2k

Countries citing papers authored by Paul Garrity

Since Specialization
Citations

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

Fields of papers citing papers by Paul Garrity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Garrity

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Garrity. A scholar is included among the top collaborators of Paul Garrity 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 Paul Garrity. Paul Garrity 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.
Walujkar, Sanket, Richard M. Walsh, Willem J. Laursen, et al.. (2024). Structural basis of ligand specificity and channel activation in an insect gustatory receptor. Cell Reports. 43(4). 114035–114035. 16 indexed citations
2.
Laursen, Willem J., et al.. (2024). Functional dissection of mosquito humidity sensing reveals distinct Dry and Moist Cell contributions to blood feeding and oviposition. Proceedings of the National Academy of Sciences. 121(35). e2407394121–e2407394121. 5 indexed citations
3.
Laursen, Willem J., et al.. (2023). Hunting with heat: thermosensory-driven foraging in mosquitoes, snakes and beetles. Journal of Experimental Biology. 226(13). 12 indexed citations
4.
Hernandez-Nunez, Luis, Gonzalo Budelli, Matthew Berck, et al.. (2021). Synchronous and opponent thermosensors use flexible cross-inhibition to orchestrate thermal homeostasis. Science Advances. 7(35). 20 indexed citations
5.
Marin, Elizabeth C., M. Theiß, Ruairí J.V. Roberts, et al.. (2020). Connectomics Analysis Reveals First-, Second-, and Third-Order Thermosensory and Hygrosensory Neurons in the Adult Drosophila Brain. Current Biology. 30(16). 3167–3182.e4. 61 indexed citations
6.
Greppi, Chloé, Willem J. Laursen, Gonzalo Budelli, et al.. (2020). Mosquito heat seeking is driven by an ancestral cooling receptor. Science. 367(6478). 681–684. 77 indexed citations
7.
Goda, Tadahiro, Yujiro Umezaki, Elaine C. Chang, et al.. (2015). The Influence of Light on Temperature Preference in Drosophila. Current Biology. 25(8). 1063–1068. 25 indexed citations
8.
Sengupta, Piali & Paul Garrity. (2013). Sensing temperature. Current Biology. 23(8). R304–R307. 104 indexed citations
9.
Kang, KyeongJin, Elaine C. Chang, Lina Ni, et al.. (2011). Modulation of TRPA1 thermal sensitivity enables sensory discrimination in Drosophila. Nature. 481(7379). 76–80. 182 indexed citations
10.
Kang, KyeongJin, Stefan R. Pulver, Elaine C. Chang, et al.. (2010). Analysis of Drosophila TRPA1 reveals an ancient origin for human chemical nociception. Nature. 464(7288). 597–600. 264 indexed citations
11.
Parisky, Katherine M., José L. Agosto, Stefan R. Pulver, et al.. (2009). PDF Cells Are a GABA-Responsive Wake-Promoting Component of the Drosophila Sleep Circuit. Neuron. 61(1). 152–152. 9 indexed citations
12.
Parisky, Katherine M., José L. Agosto, Stefan R. Pulver, et al.. (2008). PDF Cells Are a GABA-Responsive Wake-Promoting Component of the Drosophila Sleep Circuit. Neuron. 60(4). 672–682. 304 indexed citations breakdown →
13.
Hamada, Fumika N., Mark R. Rosenzweig, KyeongJin Kang, et al.. (2008). An internal thermal sensor controlling temperature preference in Drosophila. Nature. 454(7201). 217–220. 772 indexed citations breakdown →
14.
Tayler, Timothy D., et al.. (2004). Compartmentalization of visual centers in the Drosophila brain requires Slit and Robo proteins. Development. 131(23). 5935–5945. 58 indexed citations
15.
Tayler, Timothy D. & Paul Garrity. (2003). Axon targeting in the Drosophila visual system. Current Opinion in Neurobiology. 13(1). 90–95. 38 indexed citations
16.
Rosenzweig, Mark R. & Paul Garrity. (2002). Axon Targeting Meets Protein Trafficking. Developmental Cell. 3(3). 301–302. 4 indexed citations
17.
Pignoni, Francesca, Birong Hu, Kenton H. Zavitz, et al.. (1997). The Eye-Specification Proteins So and Eya Form a Complex and Regulate Multiple Steps in Drosophila Eye Development. Cell. 91(7). 881–891. 494 indexed citations
18.
Garrity, Paul, Yong Rao, Iris Salecker, et al.. (1996). Drosophila Photoreceptor Axon Guidance and Targeting Requires the Dreadlocks SH2/SH3 Adapter Protein. Cell. 85(5). 639–650. 226 indexed citations
19.
Potter, Steve M., Chunming Wang, Paul Garrity, & Scott E. Fraser. (1996). Intravital imaging of green fluorescent protein using two-photon laser-scanning microscopy. Gene. 173(1). 25–31. 76 indexed citations
20.
Garrity, Paul & S Lawrence Zipursky. (1995). Neuronal target recognition. Cell. 83(2). 177–185. 48 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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