Jacob M. Hull

695 total citations
18 papers, 409 citations indexed

About

Jacob M. Hull is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Jacob M. Hull has authored 18 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 6 papers in Psychiatry and Mental health. Recurrent topics in Jacob M. Hull's work include Neuroscience and Neuropharmacology Research (10 papers), Ion channel regulation and function (7 papers) and Epilepsy research and treatment (6 papers). Jacob M. Hull is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Ion channel regulation and function (7 papers) and Epilepsy research and treatment (6 papers). Jacob M. Hull collaborates with scholars based in United States, Germany and Switzerland. Jacob M. Hull's co-authors include Lori L. Isom, Heather A. O’Malley, Yukun Yuan, Luis F. Lopez‐Santiago, Miriam H. Meisler, Jacy L. Wagnon, Chad R. Frasier, John R. Huguenard, Nannan Lu and Gustavo A. Patiño and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Jacob M. Hull

17 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob M. Hull United States	12	225	204	101	87	60	18	409
Nathalie T. Sanon Canada	10	106 0.5×	164 0.8×	105 1.0×	44 0.5×	26 0.4×	18	332
Eric R. Wengert United States	11	268 1.2×	256 1.3×	195 1.9×	174 2.0×	23 0.4×	16	522
Talia A. Atkin United States	8	348 1.5×	167 0.8×	47 0.5×	60 0.7×	30 0.5×	8	481
Thomas H. Wheeler‐Schilling Germany	16	343 1.5×	219 1.1×	144 1.4×	30 0.3×	109 1.8×	24	795
Orfa Yineth Galvis‐Alonso Brazil	11	113 0.5×	254 1.2×	102 1.0×	24 0.3×	24 0.4×	18	393
Andrew D. Nelson United States	9	139 0.6×	138 0.7×	39 0.4×	81 0.9×	16 0.3×	12	323
Yero Saponjian United States	6	203 0.9×	199 1.0×	60 0.6×	22 0.3×	26 0.4×	7	368
Kevin M. Goff United States	12	140 0.6×	212 1.0×	95 0.9×	45 0.5×	23 0.4×	12	304
Fabrizia Claudia Guarnieri Italy	10	172 0.8×	124 0.6×	54 0.5×	91 1.0×	18 0.3×	16	383
Liwen Wu China	7	179 0.8×	77 0.4×	94 0.9×	227 2.6×	28 0.5×	14	420

Countries citing papers authored by Jacob M. Hull

Since Specialization

Citations

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

Fields of papers citing papers by Jacob M. Hull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob M. Hull

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob M. Hull. A scholar is included among the top collaborators of Jacob M. Hull 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 Jacob M. Hull. Jacob M. Hull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Vantomme, Gil, et al.. (2025). The reuniens thalamus recruits recurrent excitation in the medial prefrontal cortex. Proceedings of the National Academy of Sciences. 122(11). e2500321122–e2500321122. 1 indexed citations

Hernández, Ciria C., Rachel Friedman Ohana, Shreeya Bakshi, et al.. (2024). N-(4-Bromo-2,5-Dimethoxyphenethyl)-6-(4-Phenylbutoxy)Hexan-1-Amine (XOB): A Novel Phenylalkylamine Antagonist of Serotonin 2A Receptors and Voltage-Gated Sodium Channels. Molecular Pharmacology. 106(2). 92–106.

Zhao, Eric T., Jacob M. Hull, Hasan Uluşan, et al.. (2023). A CMOS-based highly scalable flexible neural electrode interface. Science Advances. 9(23). eadf9524–eadf9524. 20 indexed citations

Hull, Jacob M., et al.. (2023). Heterogeneity of voltage gated sodium current density between neurons decorrelates spiking and suppresses network synchronization in Scn1b null mouse models. Scientific Reports. 13(1). 8887–8887. 3 indexed citations

Liu, Hao, Tao Yang, Jacob M. Hull, et al.. (2023). DSCAM gene triplication causes excessive GABAergic synapses in the neocortex in Down syndrome mouse models. PLoS Biology. 21(4). e3002078–e3002078. 11 indexed citations

Hãhn, Oliver, Patricia Moran‐Losada, Ian H. Guldner, et al.. (2023). Atlas of the aging mouse brain reveals white matter as vulnerable foci. Cell. 186(19). 4117–4133.e22. 88 indexed citations

Hãhn, Oliver, Patricia Moran‐Losada, Ian H. Guldner, et al.. (2022). A Spatiotemporal Map of the Aging Mouse Brain Reveals White Matter Tracts as Vulnerable Foci. SSRN Electronic Journal. 1 indexed citations

Lukowski, April L., et al.. (2020). The voltage-gated sodium channel inhibitor, 4,9-anhydrotetrodotoxin, blocks human Nav1.1 in addition to Nav1.6. Neuroscience Letters. 724. 134853–134853. 15 indexed citations

Hull, Jacob M., Heather A. O’Malley, Chunling Chen, et al.. (2020). Excitatory and inhibitory neuron defects in a mouse model of Scn1b‐linked EIEE52. Annals of Clinical and Translational Neurology. 7(11). 2137–2149. 17 indexed citations

10.

Hull, Jacob M., et al.. (2019). Role of Voltage-Gated Sodium Channels in the Mechanism of Ether-Induced Unconsciousness. Pharmacological Reviews. 71(4). 450–466. 7 indexed citations

11.

Yuan, Yukun, et al.. (2019). Delayed maturation of GABAergic signaling in the Scn1a and Scn1b mouse models of Dravet Syndrome. Scientific Reports. 9(1). 6210–6210. 30 indexed citations

12.

Hull, Jacob M., et al.. (2019). Beyond Dravet Syndrome: Characterization of a Novel, More Severe SCN1A-Linked Epileptic Encephalopathy. Epiliepsy currents. 19(4). 266–268. 11 indexed citations

13.

O’Malley, Heather A., Jacob M. Hull, Brittany C. Clawson, et al.. (2019). Scn1b deletion in adult mice results in seizures and SUDEP. Annals of Clinical and Translational Neurology. 6(6). 1121–1126. 14 indexed citations

14.

Nelson, Andrew D., Jacob M. Hull, Yukun Yuan, et al.. (2018). Ankyrin-G regulates forebrain connectivity and network synchronization via interaction with GABARAP. Molecular Psychiatry. 25(11). 2800–2817. 35 indexed citations

15.

Hull, Jacob M. & Lori L. Isom. (2017). Voltage-gated sodium channel β subunits: The power outside the pore in brain development and disease. Neuropharmacology. 132. 43–57. 57 indexed citations

16.

Lopez‐Santiago, Luis F., Yukun Yuan, Jacy L. Wagnon, et al.. (2017). Neuronal hyperexcitability in a mouse model of SCN8A epileptic encephalopathy. Proceedings of the National Academy of Sciences. 114(9). 2383–2388. 66 indexed citations

17.

O’Malley, Heather A., et al.. (2016). β1-C121W Is Down But Not Out: Epilepsy-AssociatedScn1b-C121WResults in a Deleterious Gain-of-Function. Journal of Neuroscience. 36(23). 6213–6224. 31 indexed citations

18.

Hull, Jacob M. & Lori L. Isom. (2016). Expecting the Unexpected: Lack of in Vivo Network Defects in an Scn1a Model of Dravet Syndrome. Epiliepsy currents. 16(6). 408–410. 2 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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