Tod R. Thiele

2.3k total citations
20 papers, 1.5k citations indexed

About

Tod R. Thiele is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Tod R. Thiele has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aging, 8 papers in Molecular Biology and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Tod R. Thiele's work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Circadian rhythm and melatonin (8 papers) and Zebrafish Biomedical Research Applications (8 papers). Tod R. Thiele is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (9 papers), Circadian rhythm and melatonin (8 papers) and Zebrafish Biomedical Research Applications (8 papers). Tod R. Thiele collaborates with scholars based in United States, Germany and Canada. Tod R. Thiele's co-authors include Shawn R. Lockery, Serge Faumont, Herwig Baier, Andrew G. Davies, Steven L. McIntire, Joseph C. Donovan, Cornelia I. Bargmann, Antonello Bonci, Jonathan T. Pierce and Hongkyun Kim and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Tod R. Thiele

19 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tod R. Thiele United States 16 786 545 543 392 305 20 1.5k
Janet S. Duerr United States 15 996 1.3× 528 1.0× 700 1.3× 651 1.7× 192 0.6× 23 1.8k
Katie S. Kindt United States 23 522 0.7× 420 0.8× 384 0.7× 657 1.7× 212 0.7× 47 1.8k
Miri K. VanHoven United States 9 548 0.7× 346 0.6× 620 1.1× 509 1.3× 110 0.4× 13 1.3k
Jerry E. Mellem United States 19 1.2k 1.5× 738 1.4× 867 1.6× 536 1.4× 151 0.5× 24 1.8k
Jonathan T. Pierce United States 23 1.2k 1.6× 758 1.4× 604 1.1× 689 1.8× 101 0.3× 41 2.1k
Penelope J. Brockie United States 21 1.4k 1.7× 887 1.6× 989 1.8× 663 1.7× 148 0.5× 26 2.2k
Serge Faumont United States 18 884 1.1× 652 1.2× 496 0.9× 206 0.5× 58 0.2× 23 1.3k
David M. Madsen United States 20 1.4k 1.8× 912 1.7× 1.1k 2.0× 730 1.9× 164 0.5× 25 2.3k
Eviatar Yemini United States 14 714 0.9× 394 0.7× 299 0.6× 271 0.7× 57 0.2× 22 1.2k

Countries citing papers authored by Tod R. Thiele

Since Specialization
Citations

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

Fields of papers citing papers by Tod R. Thiele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tod R. Thiele. 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 Tod R. Thiele. The network helps show where Tod R. Thiele may publish in the future.

Co-authorship network of co-authors of Tod R. Thiele

This figure shows the co-authorship network connecting the top 25 collaborators of Tod R. Thiele. A scholar is included among the top collaborators of Tod R. Thiele 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 Tod R. Thiele. Tod R. Thiele 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.
Arunachalam, M., et al.. (2023). Spatiotemporal visual statistics of aquatic environments in the natural habitats of zebrafish. Scientific Reports. 13(1). 12028–12028. 3 indexed citations
2.
Carbó-Tano, Martin, Xinyu Jia, Olivier Thouvenin, et al.. (2023). The mesencephalic locomotor region recruits V2a reticulospinal neurons to drive forward locomotion in larval zebrafish. Nature Neuroscience. 26(10). 1775–1790. 20 indexed citations
3.
Alexander, Emma, Yue Zhang, Venkatesh K. Subramanian, et al.. (2022). Optic flow in the natural habitats of zebrafish supports spatial biases in visual self-motion estimation. Current Biology. 32(23). 5008–5021.e8. 15 indexed citations
4.
Guerguiev, Jordan, et al.. (2021). BonZeb: open-source, modular software tools for high-resolution zebrafish tracking and analysis. Scientific Reports. 11(1). 8148–8148. 18 indexed citations
5.
Li, Chengyu, et al.. (2021). Manipulation of the Tyrosinase gene permits improved CRISPR/Cas editing and neural imaging in cichlid fish. Scientific Reports. 11(1). 15138–15138. 19 indexed citations
6.
Wang, Kun, et al.. (2020). Parallel Channels for Motion Feature Extraction in the Pretectum and Tectum of Larval Zebrafish. Cell Reports. 30(2). 442–453.e6. 31 indexed citations
7.
Subramanian, Venkatesh K., et al.. (2020). Visual statistics of aquatic environments in the natural habitats of zebrafish. Journal of Vision. 20(11). 433–433.
8.
Zhang, Yue, et al.. (2019). Parallel Channels for Motion Feature Extraction in the Pretectum and Tectum of Larval Zebrafish. SSRN Electronic Journal. 1 indexed citations
9.
Förster, Dominique, Eva Laurell, Alison J. Barker, et al.. (2017). Genetic targeting and anatomical registration of neuronal populations in the zebrafish brain with a new set of BAC transgenic tools. Scientific Reports. 7(1). 5230–5230. 50 indexed citations
10.
Roberts, William M., Theodore H. Lindsay, Tod R. Thiele, et al.. (2016). A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans. eLife. 5. 68 indexed citations
11.
Thiele, Tod R., Joseph C. Donovan, & Herwig Baier. (2014). Descending Control of Swim Posture by a Midbrain Nucleus in Zebrafish. Neuron. 83(3). 679–691. 119 indexed citations
12.
Semmelhack, Julie L., et al.. (2014). A dedicated visual pathway for prey detection in larval zebrafish. eLife. 3. 135 indexed citations
13.
Faumont, Serge, Tod R. Thiele, Matthew Sottile, et al.. (2011). An Image-Free Opto-Mechanical System for Creating Virtual Environments and Imaging Neuronal Activity in Freely Moving Caenorhabditis elegans. PLoS ONE. 6(9). e24666–e24666. 100 indexed citations
14.
Lindsay, Theodore H., Tod R. Thiele, & Shawn R. Lockery. (2011). Optogenetic analysis of synaptic transmission in the central nervous system of the nematode Caenorhabditis elegans. Nature Communications. 2(1). 306–306. 76 indexed citations
15.
Thiele, Tod R., Serge Faumont, & Shawn R. Lockery. (2009). The Neural Network for Chemotaxis to Tastants in Caenorhabditis elegans Is Specialized for Temporal Differentiation. Journal of Neuroscience. 29(38). 11904–11911. 44 indexed citations
16.
Suzuki, Hiroshi, Tod R. Thiele, Serge Faumont, et al.. (2008). Functional asymmetry in Caenorhabditis elegans taste neurons and its computational role in chemotaxis. Nature. 454(7200). 114–117. 178 indexed citations
17.
Lockery, Shawn R., J.C. Doll, Serge Faumont, et al.. (2008). Artificial Dirt: Microfluidic Substrates for Nematode Neurobiology and Behavior. Journal of Neurophysiology. 99(6). 3136–3143. 128 indexed citations
18.
Miller, Adam C., Tod R. Thiele, Serge Faumont, M Moravec, & Shawn R. Lockery. (2005). Step-Response Analysis of Chemotaxis inCaenorhabditis elegans. Journal of Neuroscience. 25(13). 3369–3378. 84 indexed citations
19.
Davies, Andrew G., et al.. (2004). Natural Variation in the npr-1 Gene Modifies Ethanol Responses of Wild Strains of C. elegans. Neuron. 42(5). 731–743. 127 indexed citations
20.
Davies, Andrew G., Jonathan T. Pierce, Hongkyun Kim, et al.. (2003). A Central Role of the BK Potassium Channel in Behavioral Responses to Ethanol in C. elegans. Cell. 115(6). 655–666. 298 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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