Branden A. Smeester

875 total citations
18 papers, 641 citations indexed

About

Branden A. Smeester is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Branden A. Smeester has authored 18 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Branden A. Smeester's work include Pain Mechanisms and Treatments (7 papers), Neuropeptides and Animal Physiology (5 papers) and CAR-T cell therapy research (3 papers). Branden A. Smeester is often cited by papers focused on Pain Mechanisms and Treatments (7 papers), Neuropeptides and Animal Physiology (5 papers) and CAR-T cell therapy research (3 papers). Branden A. Smeester collaborates with scholars based in United States, South Korea and United Kingdom. Branden A. Smeester's co-authors include Alvin J. Beitz, Branden S. Moriarity, Emily J. Pomeroy, Cara-lin Lonetree, Walker S. Lahr, Beau R. Webber, Mitchell G. Kluesner, Mary M. Lunzer, Eyup Akgün and Philip S. Portoghese and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Oncogene.

In The Last Decade

Branden A. Smeester

18 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Branden A. Smeester United States 12 396 250 153 129 122 18 641
Nikolai N. Belyaev Kazakhstan 14 347 0.9× 91 0.4× 248 1.6× 147 1.1× 67 0.5× 26 790
Samuel R. Goth United States 12 302 0.8× 107 0.4× 338 2.2× 67 0.5× 34 0.3× 12 767
Irina Kiprianova Germany 12 289 0.7× 165 0.7× 56 0.4× 158 1.2× 248 2.0× 14 657
Hirosha Geekiyanage United States 8 518 1.3× 89 0.4× 64 0.4× 32 0.2× 103 0.8× 10 808
Katrina Boeckeler United Kingdom 8 420 1.1× 57 0.2× 58 0.4× 59 0.5× 38 0.3× 8 644
James Li United States 10 474 1.2× 217 0.9× 56 0.4× 20 0.2× 135 1.1× 39 700
Yunxiang Chu China 9 247 0.6× 48 0.2× 183 1.2× 114 0.9× 27 0.2× 17 681
Sharon A. Sagan United States 11 269 0.7× 101 0.4× 336 2.2× 69 0.5× 22 0.2× 17 906
Jorge Torres-Muñoz United States 12 288 0.7× 242 1.0× 133 0.9× 77 0.6× 28 0.2× 19 738

Countries citing papers authored by Branden A. Smeester

Since Specialization
Citations

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

Fields of papers citing papers by Branden A. Smeester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Branden A. Smeester. 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 Branden A. Smeester. The network helps show where Branden A. Smeester may publish in the future.

Co-authorship network of co-authors of Branden A. Smeester

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

All Works

18 of 18 papers shown
1.
Ramírez, María Paz, Ghaidan A. Shamsan, Sarah M. Anderson, et al.. (2023). RAD-TGTs: high-throughput measurement of cellular mechanotype via rupture and delivery of DNA tension probes. Nature Communications. 14(1). 2468–2468. 10 indexed citations
2.
Kluesner, Mitchell G., Walker S. Lahr, Cara-lin Lonetree, et al.. (2021). CRISPR-Cas9 cytidine and adenosine base editing of splice-sites mediates highly-efficient disruption of proteins in primary and immortalized cells. Nature Communications. 12(1). 2437–2437. 74 indexed citations
3.
Smeester, Branden A., Nicholas J. Slipek, Natalie Stratton, et al.. (2020). Implication of ZNF217 in Accelerating Tumor Development and Therapeutically Targeting ZNF217-Induced PI3K–AKT Signaling for the Treatment of Metastatic Osteosarcoma. Molecular Cancer Therapeutics. 19(12). 2528–2541. 13 indexed citations
4.
Dwyer, Amy R., Raisa I. Krutilina, Deanna N. Parke, et al.. (2020). Breast Tumor Kinase (Brk/PTK6) Mediates Advanced Cancer Phenotypes via SH2-Domain Dependent Activation of RhoA and Aryl Hydrocarbon Receptor (AhR) Signaling. Molecular Cancer Research. 19(2). 329–345. 16 indexed citations
5.
Smeester, Branden A., Nicholas J. Slipek, Emily J. Pomeroy, et al.. (2020). PLX3397 treatment inhibits constitutive CSF1R-induced oncogenic ERK signaling, reduces tumor growth, and metastatic burden in osteosarcoma. Bone. 136. 115353–115353. 28 indexed citations
6.
Pomeroy, Emily J., John Hunzeker, Mitchell G. Kluesner, et al.. (2019). A Genetically Engineered Primary Human Natural Killer Cell Platform for Cancer Immunotherapy. Molecular Therapy. 28(1). 52–63. 139 indexed citations
7.
Smeester, Branden A., Nicholas J. Slipek, Emily J. Pomeroy, et al.. (2019). SEMA4C is a novel target to limit osteosarcoma growth, progression, and metastasis. Oncogene. 39(5). 1049–1062. 12 indexed citations
8.
Webber, Beau R., Cara-lin Lonetree, Mitchell G. Kluesner, et al.. (2019). Highly efficient multiplex human T cell engineering without double-strand breaks using Cas9 base editors. Nature Communications. 10(1). 5222–5222. 155 indexed citations
9.
Smeester, Branden A., et al.. (2018). Cancer Gene Discovery Utilizing Sleeping Beauty Transposon Mutagenesis. Methods in molecular biology. 1907. 161–170. 4 indexed citations
10.
Ericson, Mark D., Anamika Singh, Srinivasa R. Tala, et al.. (2018). Human β-Defensin 1 and β-Defensin 3 (Mouse Ortholog mBD14) Function as Full Endogenous Agonists at Select Melanocortin Receptors. Journal of Medicinal Chemistry. 61(8). 3738–3744. 4 indexed citations
11.
Choi, Hoon-Seong, Mi Ji Lee, Sheu‐Ran Choi, et al.. (2017). Spinal Sigma-1 Receptor-mediated Dephosphorylation of Astrocytic Aromatase Plays a Key Role in Formalin-induced Inflammatory Nociception. Neuroscience. 372. 181–191. 7 indexed citations
12.
Smeester, Branden A., Jang‐Hern Lee, & Alvin J. Beitz. (2017). Influence of social interaction on nociceptive-induced changes in locomotor activity in a mouse model of acute inflammatory pain: Use of novel thermal assays. Brain Research Bulletin. 134. 47–54. 8 indexed citations
15.
Smeester, Branden A., Mary M. Lunzer, Eyup Akgün, Alvin J. Beitz, & Philip S. Portoghese. (2014). Targeting putative mu opioid/metabotropic glutamate receptor-5 heteromers produces potent antinociception in a chronic murine bone cancer model. European Journal of Pharmacology. 743. 48–52. 39 indexed citations
16.
Akgün, Eyup, et al.. (2013). Ligands that interact with putative MOR-mGluR5 heteromer in mice with inflammatory pain produce potent antinociception. Proceedings of the National Academy of Sciences. 110(28). 11595–11599. 77 indexed citations
17.
Smeester, Branden A., et al.. (2013). The Effect of Electroacupuncture on Osteosarcoma Tumor Growth and Metastasis: Analysis of Different Treatment Regimens. Evidence-based Complementary and Alternative Medicine. 2013. 1–13. 15 indexed citations
18.
Smeester, Branden A., Mona Al-Gizawiy, & Alvin J. Beitz. (2012). Effects of Different Electroacupuncture Scheduling Regimens on Murine Bone Tumor-Induced Hyperalgesia: Sex Differences and Role of Inflammation. Evidence-based Complementary and Alternative Medicine. 2012. 1–16. 16 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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