Beverly Bealmear

953 total citations
27 papers, 765 citations indexed

About

Beverly Bealmear is a scholar working on Immunology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Beverly Bealmear has authored 27 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Neurology. Recurrent topics in Beverly Bealmear's work include Nerve injury and regeneration (8 papers), Immune Response and Inflammation (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Beverly Bealmear is often cited by papers focused on Nerve injury and regeneration (8 papers), Immune Response and Inflammation (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Beverly Bealmear collaborates with scholars based in United States, Canada and Brazil. Beverly Bealmear's co-authors include Robert P. Lisak, Joyce A. Benjamins, Liljana Nedelkoska, Samia Ragheb, Dusanka S. Skundric, Anne M. Skoff, Diane Studzinski, Bin Zhang, Wen‐Cheng Xiong and Chengyong Shen and has published in prestigious journals such as PLoS ONE, Neurology and The Journal of Infectious Diseases.

In The Last Decade

Beverly Bealmear

27 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beverly Bealmear United States 16 320 225 155 152 149 27 765
Giancarlo Conti Italy 17 237 0.7× 193 0.9× 193 1.2× 221 1.5× 194 1.3× 36 868
K. V. Toyka Germany 15 575 1.8× 646 2.9× 355 2.3× 206 1.4× 150 1.0× 29 1.3k
David Azoulay Israel 10 138 0.4× 202 0.9× 149 1.0× 172 1.1× 82 0.6× 24 680
Arifumi Kosakai Japan 17 139 0.4× 329 1.5× 422 2.7× 258 1.7× 66 0.4× 25 1.0k
Hyman Donnenfeld United States 15 667 2.1× 207 0.9× 299 1.9× 217 1.4× 72 0.5× 30 1.1k
Elke Voß Germany 14 224 0.7× 128 0.6× 215 1.4× 497 3.3× 254 1.7× 20 1.1k
Camilla Reali Italy 13 68 0.2× 99 0.4× 206 1.3× 159 1.0× 141 0.9× 16 601
Melissa Gresle Australia 17 78 0.2× 86 0.4× 193 1.2× 129 0.8× 271 1.8× 37 773
Wolf-Rüdiger Schäbitz Germany 4 131 0.4× 148 0.7× 186 1.2× 281 1.8× 128 0.9× 5 717
Ranran Han China 17 267 0.8× 63 0.3× 410 2.6× 277 1.8× 355 2.4× 24 959

Countries citing papers authored by Beverly Bealmear

Since Specialization
Citations

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

Fields of papers citing papers by Beverly Bealmear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beverly Bealmear

This figure shows the co-authorship network connecting the top 25 collaborators of Beverly Bealmear. A scholar is included among the top collaborators of Beverly Bealmear 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 Beverly Bealmear. Beverly Bealmear 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.
Lisak, Robert P., Liljana Nedelkoska, Joyce A. Benjamins, et al.. (2017). B cells from patients with multiple sclerosis induce cell death via apoptosis in neurons in vitro. Journal of Neuroimmunology. 309. 88–99. 88 indexed citations
2.
Lisak, Robert P., Beverly Bealmear, & Joyce A. Benjamins. (2016). Schwann cell differentiation inhibits interferon-gamma induction of expression of major histocompatibility complex class II and intercellular adhesion molecule-1. Journal of Neuroimmunology. 295-296. 93–99. 7 indexed citations
3.
Lisak, Robert P., Liljana Nedelkoska, Beverly Bealmear, & Joyce A. Benjamins. (2015). Melanocortin receptor agonist ACTH 1–39 protects rat forebrain neurons from apoptotic, excitotoxic and inflammation-related damage. Experimental Neurology. 273. 161–167. 15 indexed citations
4.
Zhang, Bin, Chengyong Shen, Beverly Bealmear, et al.. (2014). Autoantibodies to Agrin in Myasthenia Gravis Patients. PLoS ONE. 9(3). e91816–e91816. 114 indexed citations
5.
Benjamins, Joyce A., Liljana Nedelkoska, Beverly Bealmear, & Robert P. Lisak. (2013). ACTH protects mature oligodendroglia from excitotoxic and inflammation-related damagein vitro. Glia. 61(8). 1206–1217. 26 indexed citations
6.
Lisak, Robert P., Liljana Nedelkoska, Diane Studzinski, et al.. (2011). Cytokines regulate neuronal gene expression: Differential effects of Th1, Th2 and monocyte/macrophage cytokines. Journal of Neuroimmunology. 238(1-2). 19–33. 34 indexed citations
8.
Rose, Jason J., Beverly Bealmear, Liljana Nedelkoska, et al.. (2009). Cytokines decrease expression of interleukin‐6 signal transducer and leptin receptor in central nervous system glia. Journal of Neuroscience Research. 87(14). 3098–3106. 5 indexed citations
10.
Lisak, Robert P., Beverly Bealmear, Liljana Nedelkoska, & Joyce A. Benjamins. (2006). Secretory products of central nervous system glial cells induce Schwann cell proliferation and protect from cytokine‐mediated death. Journal of Neuroscience Research. 83(8). 1425–1431. 8 indexed citations
11.
Mattingly, Raymond R., Janice M. Kraniak, J.T. Dilworth, et al.. (2005). The Mitogen-Activated Protein Kinase/Extracellular Signal-Regulated Kinase Kinase Inhibitor PD184352 (CI-1040) Selectively Induces Apoptosis in Malignant Schwannoma Cell Lines. Journal of Pharmacology and Experimental Therapeutics. 316(1). 456–465. 50 indexed citations
12.
Lisak, Robert P., Beverly Bealmear, Joyce A. Benjamins, & Anne M. Skoff. (2001). Interferon‐γ, tumor necrosis factor‐α, and transforming growth factor‐β inhibit cyclic AMP‐induced Schwann cell differentiation. Glia. 36(3). 354–363. 15 indexed citations
13.
Skoff, Anne M., Robert P. Lisak, Beverly Bealmear, & Joyce A. Benjamins. (1998). TNF-? and TGF-? act synergistically to kill Schwann cells. Journal of Neuroscience Research. 53(6). 747–756. 72 indexed citations
14.
Lisak, Robert P., Beverly Bealmear, Joyce A. Benjamins, & Anne M. Skoff. (1998). Inflammatory cytokines inhibit upregulation of glycolipid expression by Schwann cells in vitro. Neurology. 51(6). 1661–1665. 14 indexed citations
15.
Skundric, Dusanka S., Beverly Bealmear, & Robert P. Lisak. (1997). Induced upregulation of IL-1, IL-1RA and IL-1R type I gene expression by Schwann cells. Journal of Neuroimmunology. 74(1-2). 9–18. 38 indexed citations
16.
Lisak, Robert P., Dusanka S. Skundric, Beverly Bealmear, & Samia Ragheb. (1997). The Role of Cytokines in Schwann Cell Damage, Protection, and Repair. The Journal of Infectious Diseases. 176(s2). S173–S179. 66 indexed citations
17.
Lisak, Robert P. & Beverly Bealmear. (1994). Antibodies to interleukin-6 inhibit Schwann cell proliferation induced by unfractionated cytokines. Journal of Neuroimmunology. 50(2). 127–132. 11 indexed citations
18.
Lisak, Robert P., Beverly Bealmear, & Samia Ragheb. (1994). Interleukin-1α, but not interleukin-1β, is a co-mitogen for neonatal rat Schwann cells in vitro and acts via interleukin-1 receptors. Journal of Neuroimmunology. 55(2). 171–177. 16 indexed citations
20.
Lisak, Robert P. & Beverly Bealmear. (1991). Antibodies to interleukin-1 inhibit cytokine-induced proliferation of neonatal rat Schwann cells in vitro. Journal of Neuroimmunology. 31(2). 123–132. 23 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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