Seth M. Tomchik

1.4k total citations
28 papers, 900 citations indexed

About

Seth M. Tomchik is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology. According to data from OpenAlex, Seth M. Tomchik has authored 28 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 10 papers in Genetics and 5 papers in Ecology. Recurrent topics in Seth M. Tomchik's work include Neurobiology and Insect Physiology Research (18 papers), Insect and Arachnid Ecology and Behavior (10 papers) and Invertebrate Immune Response Mechanisms (5 papers). Seth M. Tomchik is often cited by papers focused on Neurobiology and Insect Physiology Research (18 papers), Insect and Arachnid Ecology and Behavior (10 papers) and Invertebrate Immune Response Mechanisms (5 papers). Seth M. Tomchik collaborates with scholars based in United States, Ireland and Australia. Seth M. Tomchik's co-authors include Ronald L. Davis, Nirupa Chaudhari, Tamara Boto, Stephanie Berg, Stephen D. Roper, Joung W. Kim, Zhongmin Lu, Gennady Dvoryanchikov, Kees Jalink and Lu Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Seth M. Tomchik

27 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth M. Tomchik United States 16 483 292 256 198 162 28 900
Heather L. Eisthen United States 19 670 1.4× 660 2.3× 381 1.5× 125 0.6× 65 0.4× 30 1.3k
Tobias F. Marton United States 8 574 1.2× 470 1.6× 261 1.0× 88 0.4× 54 0.3× 10 996
David M. Ferrero United States 8 415 0.9× 474 1.6× 286 1.1× 46 0.2× 81 0.5× 8 815
Karen Menuz United States 14 1.2k 2.5× 292 1.0× 153 0.6× 477 2.4× 81 0.5× 18 1.5k
Alexander A. Nikonov United States 13 356 0.7× 279 1.0× 174 0.7× 98 0.5× 75 0.5× 19 570
Heather M. Schellinck Canada 18 335 0.7× 409 1.4× 186 0.7× 67 0.3× 47 0.3× 27 769
Sachiko Haga‐Yamanaka United States 10 675 1.4× 707 2.4× 439 1.7× 86 0.4× 74 0.5× 23 998
Kirill Ukhanov United States 13 370 0.8× 286 1.0× 168 0.7× 124 0.6× 50 0.3× 32 587
B. W. Ache United States 25 1.5k 3.0× 995 3.4× 469 1.8× 165 0.8× 93 0.6× 46 1.8k
Richard E. Humphries United Kingdom 5 215 0.4× 324 1.1× 123 0.5× 102 0.5× 44 0.3× 7 698

Countries citing papers authored by Seth M. Tomchik

Since Specialization
Citations

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

Fields of papers citing papers by Seth M. Tomchik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seth M. Tomchik

This figure shows the co-authorship network connecting the top 25 collaborators of Seth M. Tomchik. A scholar is included among the top collaborators of Seth M. Tomchik 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 Seth M. Tomchik. Seth M. Tomchik 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.
Gutmann, David H., Corina Anastasaki, Aditi Gupta, et al.. (2025). Cognition and behavior in neurofibromatosis type 1: report and perspective from the Cognition and Behavior in NF1 (CABIN) Task Force. Genes & Development. 39(9-10). 541–554. 1 indexed citations
2.
Dwivedi, Pankaj, Trent Hinkle, Christopher M. Rose, et al.. (2024). OTUD6 deubiquitination of RPS7/eS7 on the free 40 S ribosome regulates global protein translation and stress. Nature Communications. 15(1). 6873–6873. 1 indexed citations
3.
Tomchik, Seth M., et al.. (2024). Unraveling neuronal and metabolic alterations in neurofibromatosis type 1. Journal of Neurodevelopmental Disorders. 16(1). 49–49. 2 indexed citations
4.
Tomchik, Seth M., et al.. (2024). Modeling neurodegenerative and neurodevelopmental disorders in theDrosophilamushroom body. Learning & Memory. 31(5). a053816–a053816. 2 indexed citations
5.
Boto, Tamara & Seth M. Tomchik. (2023). Ex Vivo Brain Imaging inDrosophila. Cold Spring Harbor Protocols. 2024(6). pdb.prot108136–pdb.prot108136. 1 indexed citations
6.
Boto, Tamara & Seth M. Tomchik. (2023). Imaging Olfactory Learning-Induced Plasticity in Vivo in theDrosophilaBrain. Cold Spring Harbor Protocols. 2024(6). pdb.prot108135–pdb.prot108135. 2 indexed citations
7.
Boto, Tamara, Miao Jing, Jianzhi Zeng, et al.. (2022). Associative learning drives longitudinally graded presynaptic plasticity of neurotransmitter release along axonal compartments. eLife. 11. 23 indexed citations
8.
Lone, Shahnaz Rahman, et al.. (2021). Dopamine, sleep, and neuronal excitability modulate amyloid-β–mediated forgetting in Drosophila. PLoS Biology. 19(10). e3001412–e3001412. 8 indexed citations
9.
Brown, Elizabeth, Tamara Boto, Scarlet J. Park, et al.. (2021). Neurofibromin regulates metabolic rate via neuronal mechanisms in Drosophila. Nature Communications. 12(1). 4285–4285. 19 indexed citations
10.
King, Lanikea B., et al.. (2020). Developmental loss of neurofibromin across distributed neuronal circuits drives excessive grooming in Drosophila. PLoS Genetics. 16(7). e1008920–e1008920. 15 indexed citations
11.
Boto, Tamara, et al.. (2019). Independent Contributions of Discrete Dopaminergic Circuits to Cellular Plasticity, Memory Strength, and Valence in Drosophila. Cell Reports. 27(7). 2014–2021.e2. 29 indexed citations
12.
Yu, Dinghui, Ying Tan, Molee Chakraborty, Seth M. Tomchik, & Ronald L. Davis. (2018). Elongator complex is required for long-term olfactory memory formation in Drosophila. Learning & Memory. 25(4). 183–196. 3 indexed citations
13.
Murphy, Keith R., Sonali A. Deshpande, Maria E. Yurgel, et al.. (2016). Postprandial sleep mechanics in Drosophila. eLife. 5. 71 indexed citations
14.
Boto, Tamara, et al.. (2014). Dopaminergic Modulation of cAMP Drives Nonlinear Plasticity across the Drosophila Mushroom Body Lobes. Current Biology. 24(8). 822–831. 76 indexed citations
15.
Tomchik, Seth M.. (2013). Dopaminergic Neurons Encode a Distributed, Asymmetric Representation of Temperature inDrosophila. Journal of Neuroscience. 33(5). 2166–2176. 32 indexed citations
16.
Tomchik, Seth M. & Ronald L. Davis. (2009). Dynamics of Learning-Related cAMP Signaling and Stimulus Integration in the Drosophila Olfactory Pathway. Neuron. 64(4). 510–521. 162 indexed citations
17.
Dvoryanchikov, Gennady, Seth M. Tomchik, & Nirupa Chaudhari. (2007). Biogenic amine synthesis and uptake in rodent taste buds. The Journal of Comparative Neurology. 505(3). 302–313. 72 indexed citations
18.
Tomchik, Seth M. & Zhongmin Lu. (2005). Auditory physiology and anatomy of octavolateral efferent neurons in a teleost fish. Journal of Comparative Physiology A. 192(1). 51–67. 10 indexed citations
19.
Tomchik, Seth M. & Zhongmin Lu. (2004). Octavolateral projections and organization in the medulla of a teleost fish, the sleeper goby (Dormitator latifrons). The Journal of Comparative Neurology. 481(1). 96–117. 28 indexed citations
20.
Zhang, Lu & Seth M. Tomchik. (2002). Effects of a red-tide toxin on fish hearing. Journal of Comparative Physiology A. 188(10). 807–813. 27 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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