Betsy R. Schulman

791 total citations
14 papers, 582 citations indexed

About

Betsy R. Schulman is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Betsy R. Schulman has authored 14 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 7 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Betsy R. Schulman's work include Pain Mechanisms and Treatments (10 papers), Ion channel regulation and function (5 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Betsy R. Schulman is often cited by papers focused on Pain Mechanisms and Treatments (10 papers), Ion channel regulation and function (5 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Betsy R. Schulman collaborates with scholars based in United States, Germany and United Kingdom. Betsy R. Schulman's co-authors include Frank J. Slack, Aurora Esquela‐Kerscher, Stephen G. Waxman, Sulayman D. Dib‐Hajj, Mark Estación, Yang Yang, Giovanni Stefani, Carlos Stahlhut, Xianping Liang and Malgorzata A. Mis and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

Betsy R. Schulman

13 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Betsy R. Schulman United States	10	368	234	159	156	61	14	582
Somasish Ghosh Dastidar United States	11	367 1.0×	104 0.4×	69 0.4×	67 0.4×	179 2.9×	21	639
Lipin Loo United States	13	329 0.9×	206 0.9×	179 1.1×	31 0.2×	30 0.5×	20	652
Nicholas A. Devanney United States	7	236 0.6×	126 0.5×	56 0.4×	24 0.2×	46 0.8×	9	579
Kenneth J. Colodner United States	6	168 0.5×	211 0.9×	119 0.7×	17 0.1×	70 1.1×	10	576
Yangyang Duan China	10	317 0.9×	47 0.2×	82 0.5×	58 0.4×	49 0.8×	22	572
Wenjie Mao United States	10	291 0.8×	149 0.6×	117 0.7×	38 0.2×	77 1.3×	19	513
Qi-Gang Zhou China	6	245 0.7×	63 0.3×	50 0.3×	94 0.6×	16 0.3×	7	504
Rachel D. Kim United States	6	208 0.6×	122 0.5×	93 0.6×	25 0.2×	52 0.9×	8	564
Dylan A. Galloway Canada	11	294 0.8×	86 0.4×	82 0.5×	162 1.0×	41 0.7×	11	700
Jingwen Niu China	14	250 0.7×	96 0.4×	164 1.0×	14 0.1×	121 2.0×	31	563

Countries citing papers authored by Betsy R. Schulman

Since Specialization

Citations

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

Fields of papers citing papers by Betsy R. Schulman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Betsy R. Schulman

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

All Works

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14 of 14 papers shown

Ghovanloo, Mohammad‐Reza, Philip R. Effraim, Xiaoyang Cheng, et al.. (2024). TRPM8 Mutations Associated With Persistent Pain After Surgical Injury of Corneal Trigeminal Axons. Neurology Genetics. 10(6). e200206–e200206.

Vasylyev, Dmytro V., Peng Zhao, Betsy R. Schulman, & Stephen G. Waxman. (2024). Interplay of Nav1.8 and Nav1.7 channels drives neuronal hyperexcitability in neuropathic pain. The Journal of General Physiology. 156(11). 13 indexed citations

Ghovanloo, Mohammad‐Reza, Philip R. Effraim, Jun‐Hui Yuan, et al.. (2023). Nav1.7 P610T mutation in two siblings with persistent ocular pain after corneal axon transection: impaired slow inactivation and hyperexcitable trigeminal neurons. Journal of Neurophysiology. 129(3). 609–618. 9 indexed citations

Yuan, Jun‐Hui, Mark Estación, Malgorzata A. Mis, et al.. (2021). KCNQ variants and pain modulation: a missense variant in Kv7.3 contributes to pain resilience. Brain Communications. 3(3). fcab212–fcab212. 18 indexed citations

Yuan, Jun‐Hui, et al.. (2020). Genomic analysis of 21 patients with corneal neuralgia after refractive surgery. PAIN Reports. 5(4). e826–e826. 13 indexed citations

Huang, Jianying, Mark Estación, Peng Zhao, et al.. (2019). A Novel Gain-of-Function Nav1.9 Mutation in a Child With Episodic Pain. Frontiers in Neuroscience. 13. 918–918. 24 indexed citations

Mis, Malgorzata A., Yang Yang, Brian S. Tanaka, et al.. (2018). Resilience to Pain: A Peripheral Component Identified Using Induced Pluripotent Stem Cells and Dynamic Clamp. Journal of Neuroscience. 39(3). 382–392. 67 indexed citations

Geha, Paul, Betsy R. Schulman, Sulayman D. Dib‐Hajj, & Stephen G. Waxman. (2018). Brain activity associated with pain in inherited erythromelalgia: stimulus-free pain engages brain areas involved in valuation and learning. SHILAP Revista de lepidopterología. 3. 8–14. 2 indexed citations

Estación, Mark, et al.. (2018). A novel gain-of-function Na_v1.7 mutation in a carbamazepine-responsive patient with adult-onset painful peripheral neuropathy. Molecular Pain. 14. 2224618783–2224618783. 9 indexed citations

10.

McDonnell, Aoibhinn, Betsy R. Schulman, Zahid Ali, et al.. (2016). Inherited erythromelalgia due to mutations inSCN9A:natural history, clinical phenotype and somatosensory profile. Brain. 139(4). 1052–1065. 59 indexed citations

11.

Yang, Yang, Jianying Huang, Malgorzata A. Mis, et al.. (2016). Nav1.7-A1632G Mutation from a Family with Inherited Erythromelalgia: Enhanced Firing of Dorsal Root Ganglia Neurons Evoked by Thermal Stimuli. Journal of Neuroscience. 36(28). 7511–7522. 56 indexed citations

12.

Geha, Paul, Yang Yang, Mark Estación, et al.. (2016). Pharmacotherapy for Pain in a Family With Inherited Erythromelalgia Guided by Genomic Analysis and Functional Profiling. JAMA Neurology. 73(6). 659–659. 69 indexed citations

13.

Schulman, Betsy R., et al.. (2008). The let-7 microRNA target gene, Mlin41/Trim71 is required for mouse embryonic survival and neural tube closure. Cell Cycle. 7(24). 3935–3942. 101 indexed citations

14.

Schulman, Betsy R., Aurora Esquela‐Kerscher, & Frank J. Slack. (2005). Reciprocal expression of lin‐41 and the microRNAs let‐7 and mir‐125 during mouse embryogenesis. Developmental Dynamics. 234(4). 1046–1054. 142 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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