Tim Tully

13.0k total citations · 3 hit papers
101 papers, 9.7k citations indexed

About

Tim Tully is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology. According to data from OpenAlex, Tim Tully has authored 101 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Cellular and Molecular Neuroscience, 34 papers in Molecular Biology and 18 papers in Ecology. Recurrent topics in Tim Tully's work include Neurobiology and Insect Physiology Research (62 papers), Invertebrate Immune Response Mechanisms (18 papers) and Physiological and biochemical adaptations (18 papers). Tim Tully is often cited by papers focused on Neurobiology and Insect Physiology Research (62 papers), Invertebrate Immune Response Mechanisms (18 papers) and Physiological and biochemical adaptations (18 papers). Tim Tully collaborates with scholars based in United States, Taiwan and United Kingdom. Tim Tully's co-authors include William G. Quinn, Josh Dubnau, Maria Del Vecchio, Thomas Préat, Ann‐Shyn Chiang, Michael Regulski, Rod Scott, Hong Zhou, Elizabeth L. Wilder and Jie Yin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tim Tully

100 papers receiving 9.5k citations

Hit Papers

Classical conditioning and retention in normal and mutant... 1985 2026 1998 2012 1985 1994 1994 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
Tim Tully United States 48 6.5k 3.5k 2.3k 1.4k 1.2k 101 9.7k
William G. Quinn United States 26 4.7k 0.7× 2.0k 0.6× 1.6k 0.7× 1.1k 0.8× 1.0k 0.8× 35 6.1k
Thomas Préat France 41 4.0k 0.6× 1.9k 0.5× 1.7k 0.7× 1.1k 0.8× 869 0.7× 96 6.0k
Amita Sehgal United States 71 7.7k 1.2× 3.1k 0.9× 2.2k 1.0× 698 0.5× 634 0.5× 188 15.8k
Jay Hirsh United States 46 4.6k 0.7× 2.4k 0.7× 2.0k 0.9× 976 0.7× 1.1k 0.9× 89 6.8k
Ulrike Heberlein United States 55 4.7k 0.7× 4.1k 1.2× 1.7k 0.7× 982 0.7× 1.1k 0.9× 107 8.3k
Michael E. Adams United States 50 6.4k 1.0× 5.7k 1.6× 2.5k 1.1× 906 0.6× 1.8k 1.4× 123 9.4k
Hiromu Tanimoto Japan 39 5.0k 0.8× 1.4k 0.4× 2.3k 1.0× 1.5k 1.1× 1.1k 0.9× 85 6.0k
Leslie C. Griffith United States 45 4.8k 0.7× 2.1k 0.6× 1.5k 0.6× 803 0.6× 573 0.5× 111 6.2k
Paul H. Taghert United States 54 6.7k 1.0× 2.3k 0.7× 1.8k 0.8× 940 0.7× 887 0.7× 99 8.6k
Robert R. H. Anholt United States 51 3.9k 0.6× 2.7k 0.8× 2.0k 0.9× 972 0.7× 1.1k 0.9× 141 8.0k

Countries citing papers authored by Tim Tully

Since Specialization
Citations

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

Fields of papers citing papers by Tim Tully

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Tully

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Tully. A scholar is included among the top collaborators of Tim Tully 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 Tim Tully. Tim Tully 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.
Tully, Tim, et al.. (2018). A stress-enhanced model for discovery of disease-modifying gene: Ece1-suppresses the toxicity of α-synuclein A30P. Neurobiology of Disease. 114. 153–163. 6 indexed citations
2.
Chen, Chun‐Chao, Hui‐Hao Lin, An‐Lun Chin, et al.. (2013). Drosophila ORB protein in two mushroom body output neurons is necessary for long-term memory formation. Proceedings of the National Academy of Sciences. 110(19). 7898–7903. 90 indexed citations
3.
Chen, Chun‐Chao, Hsuan-Wen Lin, Tsai‐Feng Fu, et al.. (2012). Visualizing Long-Term Memory Formation in Two Neurons of the Drosophila Brain. Science. 335(6069). 678–685. 123 indexed citations
4.
Bolduc, François V., et al.. (2010). An assay for social interaction in Drosophila fragile X mutants. Fly. 4(3). 216–225. 31 indexed citations
5.
Zhao, Hong, Xiaojing Yuan, Lei Wang, et al.. (2009). benFunctions withScampduring Synaptic Transmission and Long-Term Memory Formation inDrosophila. Journal of Neuroscience. 29(2). 414–424. 10 indexed citations
6.
Bolduc, François V., Kimberly Bell, Hilary Cox, Kendal Broadie, & Tim Tully. (2008). Excess protein synthesis in Drosophila Fragile X mutants impairs long-term memory. Nature Neuroscience. 11(10). 1143–1145. 173 indexed citations
7.
Horiuchi, Junjiro, et al.. (2008). The Drosophila cell adhesion molecule Klingon is required for long-term memory formation and is regulated by Notch. Proceedings of the National Academy of Sciences. 106(1). 310–315. 37 indexed citations
8.
Asztalos, Zoltán, Kotaro Baba, Daisuke Yamamoto, & Tim Tully. (2007). THEfickleMUTATION OF A CYTOPLASMIC TYROSINE KINASE EFFECTS SENSITIZATION BUT NOT DISHABITUATION INDROSOPHILA MELANOGASTER. Journal of Neurogenetics. 21(1-2). 59–71. 8 indexed citations
9.
Jones, Christopher J., et al.. (2007). EFFECTS OF MUTANTDROSOPHILAK+CHANNEL SUBUNITS ON HABITUATION OF THE OLFACTORY JUMP RESPONSE. Journal of Neurogenetics. 21(1-2). 45–58. 9 indexed citations
10.
Lu, Yubing, Yichun Shuai, Tim Tully, et al.. (2007). The AKAP Yu is required for olfactory long-term memory formation in Drosophila. Proceedings of the National Academy of Sciences. 104(34). 13792–13797. 23 indexed citations
11.
Bourtchouladze, Rusiko, et al.. (2003). A mouse model of Rubinstein-Taybi syndrome: Defective long-term memory is ameliorated by inhibitors of phosphodiesterase 4. Proceedings of the National Academy of Sciences. 100(18). 10518–10522. 250 indexed citations
12.
Wang, Yalin, Ann‐Shyn Chiang, Shouzhen Xia, et al.. (2003). Blockade of Neurotransmission in Drosophila Mushroom Bodies Impairs Odor Attraction, but Not Repulsion. Current Biology. 13(21). 1900–1904. 67 indexed citations
13.
Scott, Roderick H., et al.. (2002). CREB and the discovery of cognitive enhancers. Journal of Molecular Neuroscience. 19(1-2). 171–177. 49 indexed citations
14.
Dubnau, Josh, Ulrich Certa, Clemens Broger, et al.. (2001). Functional genomics of long-term memory. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 25. 1313. 1 indexed citations
15.
Dubnau, Josh, et al.. (2001). Disruption of neurotransmission in Drosophila mushroom body blocks retrieval but not acquisition of memory. Nature. 411(6836). 476–480. 320 indexed citations
16.
Moore, Monica, et al.. (1998). Ethanol Intoxication in Drosophila: Genetic and Pharmacological Evidence for Regulation by the cAMP Signaling Pathway. Cell. 93(6). 997–1007. 375 indexed citations
17.
Tully, Tim, et al.. (1994). Genetic dissection of consolidated memory in Drosophila. Cell. 79(1). 35–47. 739 indexed citations breakdown →
18.
Dura, Jean‐Maurice, Thomas Préat, & Tim Tully. (1993). Identification ofLinotte, a New Gene Affecting Learning and Memory inDrosophila Melanogaster. Journal of Neurogenetics. 9(1). 1–14. 110 indexed citations
19.
Luo, Liqun, Tim Tully, & K. Andrew White. (1992). Human amyloid precursor protein ameliorates behavioral deficit of flies deleted for appl gene. Neuron. 9(4). 595–605. 223 indexed citations
20.
Tully, Tim & J. Peter Gergen. (1986). Deletion Mapping of theDrosophilaMemory Mutantamnesiac. Journal of Neurogenetics. 3(1). 33–47. 23 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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