Meghan E. Addorisio

1.4k total citations
16 papers, 657 citations indexed

About

Meghan E. Addorisio is a scholar working on Neurology, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Meghan E. Addorisio has authored 16 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 9 papers in Molecular Biology and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Meghan E. Addorisio's work include Vagus Nerve Stimulation Research (10 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Neuroscience of respiration and sleep (4 papers). Meghan E. Addorisio is often cited by papers focused on Vagus Nerve Stimulation Research (10 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Neuroscience of respiration and sleep (4 papers). Meghan E. Addorisio collaborates with scholars based in United States, Sweden and Kuwait. Meghan E. Addorisio's co-authors include Kevin J. Tracey, Sangeeta S. Chavan, Valentin A. Pavlov, Jan Andersson, Yousef Al‐Abed, Gavin H. Imperato, Harold Silverman, Yaakov A. Levine, Jianhua Li and Téa Tsaava and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Meghan E. Addorisio

16 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meghan E. Addorisio United States 12 330 198 126 123 108 16 657
Simon Verheijden Belgium 13 238 0.7× 351 1.8× 60 0.5× 54 0.4× 122 1.1× 19 771
Meghan Dancho United States 8 272 0.8× 201 1.0× 37 0.3× 112 0.9× 137 1.3× 10 583
LaQueta Hudson United States 6 259 0.8× 260 1.3× 65 0.5× 33 0.3× 63 0.6× 8 497
Zongze Zhang China 18 169 0.5× 280 1.4× 64 0.5× 21 0.2× 87 0.8× 48 880
Geber Peña United States 10 555 1.7× 361 1.8× 208 1.7× 15 0.1× 177 1.6× 13 1.2k
Ladonya Jackson United States 10 218 0.7× 227 1.1× 141 1.1× 15 0.1× 61 0.6× 13 659
Thomas Bernik United States 10 414 1.3× 292 1.5× 202 1.6× 12 0.1× 37 0.3× 33 804
Li Hu China 11 133 0.4× 171 0.9× 35 0.3× 39 0.3× 59 0.5× 18 475
Shafqat Rasul Chaudhry Germany 19 234 0.7× 124 0.6× 28 0.2× 27 0.2× 71 0.7× 36 837
Amin Mottahedin Sweden 14 144 0.4× 239 1.2× 22 0.2× 27 0.2× 111 1.0× 23 657

Countries citing papers authored by Meghan E. Addorisio

Since Specialization
Citations

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

Fields of papers citing papers by Meghan E. Addorisio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meghan E. Addorisio. 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 Meghan E. Addorisio. The network helps show where Meghan E. Addorisio may publish in the future.

Co-authorship network of co-authors of Meghan E. Addorisio

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

All Works

16 of 16 papers shown
1.
Zamora, Rubén, Derek Barclay, Jinling Yin, et al.. (2024). Computational inference of chemokine-mediated roles for the vagus nerve in modulating intra- and inter-tissue inflammation. SHILAP Revista de lepidopterología. 4. 1266279–1266279. 2 indexed citations
2.
Tsaava, Téa, Meghan E. Addorisio, Sergio Iván Valdés‐Ferrer, et al.. (2023). Vagus nerve stimulation primes platelets and reduces bleeding in hemophilia A male mice. Nature Communications. 14(1). 3122–3122. 5 indexed citations
3.
Silverman, Harold, Eric H. Chang, Jian Hua Li, et al.. (2023). Transient Receptor Potential Ankyrin-1-expressing vagus nerve fibers mediate IL-1β induced hypothermia and reflex anti-inflammatory responses. Molecular Medicine. 29(1). 4–4. 16 indexed citations
4.
Zanos, Stavros, Despοina Ntiloudi, John S. Pellerito, et al.. (2023). Focused ultrasound neuromodulation of the spleen activates an anti-inflammatory response in humans. Brain stimulation. 16(3). 703–711. 14 indexed citations
5.
Yang, Huan, Harold Silverman, Meghan E. Addorisio, et al.. (2021). HMGB1 released from nociceptors mediates inflammation. Proceedings of the National Academy of Sciences. 118(33). 60 indexed citations
6.
Kressel, Adam M., Téa Tsaava, Yaakov A. Levine, et al.. (2020). Identification of a brainstem locus that inhibits tumor necrosis factor. Proceedings of the National Academy of Sciences. 117(47). 29803–29810. 90 indexed citations
7.
Tsaava, Téa, Timir Datta, Meghan E. Addorisio, et al.. (2020). Specific vagus nerve stimulation parameters alter serum cytokine levels in the absence of inflammation. SHILAP Revista de lepidopterología. 6(1). 8–8. 40 indexed citations
8.
Pavlov, Valentin A., Kui Cui, Meghan E. Addorisio, David L. Williams, & Valentin P. Yakubenko. (2020). The α7 nicotinic acetylcholine receptor is an important determinant of monocyte-derived macrophage migration. The Journal of Immunology. 204(1_Supplement). 220.25–220.25. 1 indexed citations
9.
Yang, Huan, Gavin H. Imperato, Meghan E. Addorisio, et al.. (2019). Inhibition of HMGB1/RAGE-mediated endocytosis by HMGB1 antagonist box A, anti-HMGB1 antibodies, and cholinergic agonists suppresses inflammation. Molecular Medicine. 25(1). 13–13. 87 indexed citations
10.
Lehner, Kurt, Harold Silverman, Meghan E. Addorisio, et al.. (2019). Forebrain Cholinergic Signaling Regulates Innate Immune Responses and Inflammation. Frontiers in Immunology. 10. 585–585. 54 indexed citations
11.
Addorisio, Meghan E., Gavin H. Imperato, Alex F. de Vos, et al.. (2019). Investigational treatment of rheumatoid arthritis with a vibrotactile device applied to the external ear. SHILAP Revista de lepidopterología. 5(1). 4–4. 73 indexed citations
12.
Imperato, Gavin H., Meghan E. Addorisio, Valentin A. Pavlov, et al.. (2019). Investigational Treatment of Rheumatoid Arthritis with a Vibrotactile Device Applied to the External Ear. The Journal of Immunology. 202(1_Supplement). 133.17–133.17. 2 indexed citations
13.
Yang, Huan, Haichao Wang, Yaakov A. Levine, et al.. (2018). Identification of CD163 as an antiinflammatory receptor for HMGB1-haptoglobin complexes. JCI Insight. 3(24). 11 indexed citations
14.
Wang, Haichao, Yongjun Wang, Meghan E. Addorisio, et al.. (2017). Expression of Concern: The haptoglobin beta subunit sequesters HMGB1 toxicity in sterile and infectious inflammation. Journal of Internal Medicine. 282(1). 76–93. 26 indexed citations
15.
Zaghloul, Nahla, Meghan E. Addorisio, Harold Silverman, et al.. (2017). Forebrain Cholinergic Dysfunction and Systemic and Brain Inflammation in Murine Sepsis Survivors. Frontiers in Immunology. 8. 1673–1673. 73 indexed citations
16.
Yang, Huan, Haichao Wang, Yaakov A. Levine, et al.. (2016). Identification of CD163 as an antiinflammatory receptor for HMGB1-haptoglobin complexes. JCI Insight. 1(7). 103 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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