Kimberly Gómez

944 total citations
36 papers, 536 citations indexed

About

Kimberly Gómez is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kimberly Gómez has authored 36 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Physiology and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kimberly Gómez's work include Pain Mechanisms and Treatments (23 papers), Ion channel regulation and function (13 papers) and Axon Guidance and Neuronal Signaling (9 papers). Kimberly Gómez is often cited by papers focused on Pain Mechanisms and Treatments (23 papers), Ion channel regulation and function (13 papers) and Axon Guidance and Neuronal Signaling (9 papers). Kimberly Gómez collaborates with scholars based in United States, Mexico and China. Kimberly Gómez's co-authors include Rajesh Khanna, Aubin Moutal, Song Cai, Dongzhi Ran, Samantha Perez‐Miller, Aida Calderón‐Rivera, Yuan Zhou, Lisa Boinon, Harrison J. Stratton and Rodolfo Delgado‐Lezama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Kimberly Gómez

34 papers receiving 529 citations

Peers

Kimberly Gómez
Shizhen Luo United States
Shreya S. Bellampalli United States
Tao Shen China
Wisam Toma United States
Juan E. Tichauer Chile
Michael Hernandez United States
Annapurna Chalasani United Kingdom
Jérôme Braudeau France
James H. Crona United States
Shizhen Luo United States
Kimberly Gómez
Citations per year, relative to Kimberly Gómez Kimberly Gómez (= 1×) peers Shizhen Luo

Countries citing papers authored by Kimberly Gómez

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Gómez

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Gómez. A scholar is included among the top collaborators of Kimberly Gómez 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 Kimberly Gómez. Kimberly Gómez 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.
Martin, Laurent, Harrison J. Stratton, Kimberly Gómez, et al.. (2025). Anti-CV2/CRMP5 autoantibodies as drivers of sensory neuron excitability and pain in rats. Nature Communications. 16(1). 7311–7311.
2.
3.
Calderón‐Rivera, Aida, et al.. (2024). SUMOylation and DeSUMOylation: Tug of War of Pain Signaling. Molecular Neurobiology. 62(3). 3305–3321. 2 indexed citations
4.
Peach, Chloe J., Raquel Tonello, Kimberly Gómez, et al.. (2024). Neuropilin-1 inhibition suppresses nerve growth factor signaling and nociception in pain models. Journal of Clinical Investigation. 135(4). 6 indexed citations
5.
Allen, Heather N., Aida Calderón‐Rivera, Kimberly Gómez, et al.. (2023). Intranasal CRMP2-Ubc9 inhibitor regulates NaV1.7 to alleviate trigeminal neuropathic pain. Pain. 165(3). 573–588. 13 indexed citations
6.
Gómez, Kimberly, Harrison J. Stratton, Cheng Tang, et al.. (2023). Identification and targeting of a unique Na V 1.7 domain driving chronic pain. Proceedings of the National Academy of Sciences. 120(32). e2217800120–e2217800120. 23 indexed citations
7.
Gómez, Kimberly, et al.. (2023). Using intonation to disambiguate meaning: The role of empathy and proficiency in L2 perceptual development. Applied Psycholinguistics. 44(5). 913–940. 3 indexed citations
8.
Gómez, Kimberly, Raquel Tonello, Lisa Boinon, et al.. (2023). Neuropilin-1 Is Essential For VEGFA-Mediated Increase Of Sensory Neuron Activity And Development Of Pain-Like Behaviors. Journal of Pain. 24(4). 40–40.
9.
Calderón‐Rivera, Aida, Kimberly Gómez, E. M. Kithsiri Wijeratne, et al.. (2023). Betulinic acid analogs inhibit N- and T-type voltage-gated calcium channels to attenuate nerve-injury associated neuropathic and formalin models of pain. SHILAP Revista de lepidopterología. 13. 100116–100116. 7 indexed citations
10.
Stratton, Harrison J., Lisa Boinon, Kimberly Gómez, et al.. (2022). Targeting the vascular endothelial growth factor A/neuropilin 1 axis for relief of neuropathic pain. Pain. 164(7). 1473–1488. 10 indexed citations
11.
Ran, Dongzhi, et al.. (2022). Cell specific regulation of NaV1.7 activity and trafficking in rat nodose ganglia neurons. SHILAP Revista de lepidopterología. 12. 100109–100109. 3 indexed citations
12.
Gómez, Kimberly, et al.. (2022). Neuronal allodynic mechanisms of Slc7a5 (LAT1) in the spared nerve injury rodent model of neuropathic pain. Pflügers Archiv - European Journal of Physiology. 474(4). 397–403. 10 indexed citations
13.
Martin, Laurent, Mohab Ibrahim, Kimberly Gómez, et al.. (2021). Conotoxin contulakin-G engages a neurotensin receptor 2/R-type calcium channel (Cav2.3) pathway to mediate spinal antinociception. Pain. 163(9). 1751–1762. 15 indexed citations
14.
Cai, Song, Kimberly Gómez, Aubin Moutal, & Rajesh Khanna. (2021). Targeting T-type/CaV3.2 channels for chronic pain. Translational research. 234. 20–30. 58 indexed citations
15.
Moutal, Aubin, Laurent Martin, Lisa Boinon, et al.. (2020). SARS-CoV-2 spike protein co-opts VEGF-A/neuropilin-1 receptor signaling to induce analgesia. Pain. 162(1). 243–252. 117 indexed citations
16.
Moutal, Aubin, Song Cai, Jie Yu, et al.. (2020). Studies on CRMP2 SUMOylation–deficient transgenic mice identify sex-specific Nav1.7 regulation in the pathogenesis of chronic neuropathic pain. Pain. 161(11). 2629–2651. 27 indexed citations
17.
Zhou, Yuan, Song Cai, Aubin Moutal, et al.. (2019). The Natural Flavonoid Naringenin Elicits Analgesia through Inhibition of NaV1.8 Voltage-Gated Sodium Channels. ACS Chemical Neuroscience. 10(12). 4834–4846. 28 indexed citations
18.
Gómez, Kimberly, Aida Calderón‐Rivera, Alejandro Sandoval, et al.. (2019). Cdk5-Dependent Phosphorylation of CaV3.2 T-Type Channels: Possible Role in Nerve Ligation-Induced Neuropathic Allodynia and the Compound Action Potential in Primary Afferent C Fibers. Journal of Neuroscience. 40(2). 283–296. 45 indexed citations
19.
Gómez, Kimberly, Alejandro Sandoval, Paulino Barragán‐Iglesias, et al.. (2019). Transcription Factor Sp1 Regulates the Expression of Calcium Channel α2δ-1 Subunit in Neuropathic Pain. Neuroscience. 412. 207–215. 15 indexed citations
20.
Gómez, Kimberly, Neil P. Grimster, Ákos Nemecz, et al.. (2012). Synthesis of Selective Agonists for the α7 Nicotinic Acetylcholine Receptor with In Situ Click-Chemistry on Acetylcholine-Binding Protein Templates. Molecular Pharmacology. 82(4). 687–699. 17 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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