Michael J. Lacagnina

991 total citations
19 papers, 687 citations indexed

About

Michael J. Lacagnina is a scholar working on Physiology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael J. Lacagnina has authored 19 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 6 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael J. Lacagnina's work include Pain Mechanisms and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Stress Responses and Cortisol (3 papers). Michael J. Lacagnina is often cited by papers focused on Pain Mechanisms and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Stress Responses and Cortisol (3 papers). Michael J. Lacagnina collaborates with scholars based in United States, Australia and Brazil. Michael J. Lacagnina's co-authors include Staci D. Bilbo, Phillip D. Rivera, Peter M. Grace, Linda R. Watkins, Richa Hanamsagar, Ronald P. Hammer, Ella M. Nikulina, Ashley M. Kopec, Sanya Fanous and Cobi J. Heijnen and has published in prestigious journals such as Blood, Nature Biotechnology and Pain.

In The Last Decade

Michael J. Lacagnina

18 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Lacagnina United States 11 243 205 180 177 106 19 687
Lori N. Eidson United States 11 348 1.4× 304 1.5× 183 1.0× 226 1.3× 84 0.8× 14 812
Sheng‐Feng Tsai Taiwan 16 142 0.6× 199 1.0× 159 0.9× 206 1.2× 112 1.1× 33 737
Timothy Fabisiak United States 8 212 0.9× 293 1.4× 184 1.0× 182 1.0× 103 1.0× 10 686
Alexis L. Northcutt United States 6 330 1.4× 193 0.9× 154 0.9× 315 1.8× 194 1.8× 7 731
Gilly Wolf Israel 16 303 1.2× 366 1.8× 150 0.8× 144 0.8× 72 0.7× 22 771
Cheri Lubahn United States 15 131 0.5× 122 0.6× 176 1.0× 191 1.1× 62 0.6× 24 742
Julie Wieseler United States 12 292 1.2× 378 1.8× 164 0.9× 156 0.9× 57 0.5× 16 730
N.Y. Crysdale United States 6 362 1.5× 403 2.0× 195 1.1× 280 1.6× 121 1.1× 6 891
Gianna Fote United States 10 183 0.8× 247 1.2× 278 1.5× 247 1.4× 198 1.9× 25 843
Ya‐Hsin Hsiao Taiwan 14 201 0.8× 195 1.0× 145 0.8× 63 0.4× 99 0.9× 29 688

Countries citing papers authored by Michael J. Lacagnina

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Lacagnina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Lacagnina. 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 Michael J. Lacagnina. The network helps show where Michael J. Lacagnina may publish in the future.

Co-authorship network of co-authors of Michael J. Lacagnina

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

All Works

19 of 19 papers shown
1.
Lacagnina, Michael J., et al.. (2025). Fc gamma receptor IIa signaling from spinal cord astrocytes promotes neuropathic pain in rats. Journal of Pain. 36. 105553–105553.
2.
Chidambaran, Vidya, Qing Duan, Susan Glynn, et al.. (2024). The role of cytokines in acute and chronic postsurgical pain after major musculoskeletal surgeries in a quaternary pediatric center. Brain Behavior and Immunity. 122. 596–603. 1 indexed citations
3.
Avery, Thomas D., Michael J. Lacagnina, Jingxian Yu, et al.. (2024). Site-specific drug release of monomethyl fumarate to treat oxidative stress disorders. Nature Biotechnology. 43(10). 1624–1627. 7 indexed citations
4.
Lacagnina, Michael J., Adriano Polican Ciena, Marucia Chacur, et al.. (2023). Voluntary wheel running prevents formation of membrane attack complexes and myelin degradation after peripheral nerve injury. Brain Behavior and Immunity. 115. 419–431. 3 indexed citations
5.
Lacagnina, Michael J., et al.. (2023). B Cells Promote Mechanical Allodynia After Peripheral Nerve Injury. Journal of Pain. 24(4). 37–37. 2 indexed citations
8.
Cata, Juan P., Michael J. Lacagnina, Ayşegül Görür, et al.. (2021). A rat model to investigate quality of recovery after abdominal surgery. PAIN Reports. 6(2). e943–e943. 4 indexed citations
9.
Lacagnina, Michael J., Cobi J. Heijnen, Linda R. Watkins, & Peter M. Grace. (2021). Autoimmune regulation of chronic pain. PAIN Reports. 6(1). e905–e905. 40 indexed citations
10.
Lacagnina, Michael J., et al.. (2020). A role for neuroimmune signaling in a rat model of Gulf War Illness-related pain. Brain Behavior and Immunity. 91. 418–428. 16 indexed citations
11.
Ma, Jiacheng, Michael J. Lacagnina, Max A. Odem, et al.. (2019). Oral Dimethyl Fumarate Reduces Peripheral Neuropathic Pain in Rodents via NFE2L2 Antioxidant Signaling. Anesthesiology. 132(2). 343–356. 45 indexed citations
13.
Kopec, Ashley M., Phillip D. Rivera, Michael J. Lacagnina, Richa Hanamsagar, & Staci D. Bilbo. (2017). Optimized solubilization of TRIzol-precipitated protein permits Western blotting analysis to maximize data available from brain tissue. Journal of Neuroscience Methods. 280. 64–76. 70 indexed citations
14.
Lacagnina, Michael J., Ashley M. Kopec, Stewart S. Cox, et al.. (2017). Opioid Self-Administration is Attenuated by Early-Life Experience and Gene Therapy for Anti-Inflammatory IL-10 in the Nucleus Accumbens of Male Rats. Neuropsychopharmacology. 42(11). 2128–2140. 32 indexed citations
15.
Lacagnina, Michael J., Linda R. Watkins, & Peter M. Grace. (2017). Toll-like receptors and their role in persistent pain. Pharmacology & Therapeutics. 184. 145–158. 150 indexed citations
16.
Lacagnina, Michael J., Phillip D. Rivera, & Staci D. Bilbo. (2016). Glial and Neuroimmune Mechanisms as Critical Modulators of Drug Use and Abuse. Neuropsychopharmacology. 42(1). 156–177. 196 indexed citations
17.
Hoffman, Ann N., et al.. (2013). Experience-dependent effects of context and restraint stress on corticolimbic c-Fos expression. Stress. 16(5). 587–591. 7 indexed citations
18.
Nikulina, Ella M., Michael J. Lacagnina, Sanya Fanous, Junshi Wang, & Ronald P. Hammer. (2012). Intermittent social defeat stress enhances mesocorticolimbic ΔFosB/BDNF co-expression and persistently activates corticotegmental neurons: Implication for vulnerability to psychostimulants. Neuroscience. 212. 38–48. 47 indexed citations
19.
Fanous, Sanya, Michael J. Lacagnina, Ella M. Nikulina, & Ronald P. Hammer. (2011). Sensitized activation of Fos and brain-derived neurotrophic factor in the medial prefrontal cortex and ventral tegmental area accompanies behavioral sensitization to amphetamine. Neuropharmacology. 61(4). 558–564. 24 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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