Samuel A. Sprowls

891 total citations
23 papers, 464 citations indexed

About

Samuel A. Sprowls is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Samuel A. Sprowls has authored 23 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 8 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Samuel A. Sprowls's work include Brain Metastases and Treatment (8 papers), Glioma Diagnosis and Treatment (6 papers) and Barrier Structure and Function Studies (5 papers). Samuel A. Sprowls is often cited by papers focused on Brain Metastases and Treatment (8 papers), Glioma Diagnosis and Treatment (6 papers) and Barrier Structure and Function Studies (5 papers). Samuel A. Sprowls collaborates with scholars based in United States. Samuel A. Sprowls's co-authors include Paul R. Lockman, Neal Shah, Tasneem Arsiwala, Pushkar Saralkar, Jacob R. Bumgarner, Sundus S. Lateef, Afroz S. Mohammad, Mark V. Pinti, Brandon Lucke‐Wold and Ali R. Rezai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

In The Last Decade

Samuel A. Sprowls

23 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel A. Sprowls United States 12 178 143 121 107 89 23 464
Yong Xiao China 12 168 0.9× 64 0.4× 75 0.6× 89 0.8× 50 0.6× 41 392
Víctor A. Arrieta United States 10 118 0.7× 57 0.4× 179 1.5× 151 1.4× 164 1.8× 27 510
Ron Batash Israel 8 181 1.0× 79 0.6× 93 0.8× 66 0.6× 103 1.2× 13 453
Maya Srikanth United States 9 357 2.0× 134 0.9× 122 1.0× 62 0.6× 85 1.0× 13 768
Katrin Deumelandt Germany 8 172 1.0× 42 0.3× 108 0.9× 64 0.6× 109 1.2× 9 434
Ryan Bash United States 13 187 1.1× 107 0.7× 126 1.0× 58 0.5× 183 2.1× 25 517
Inderjit Daphu Norway 6 143 0.8× 82 0.6× 116 1.0× 93 0.9× 166 1.9× 6 398
Janice K. Laramy United States 9 228 1.3× 132 0.9× 227 1.9× 164 1.5× 312 3.5× 11 702
Terence Burns United States 6 192 1.1× 88 0.6× 134 1.1× 157 1.5× 307 3.4× 9 668
Anirudh Sattiraju United States 11 162 0.9× 41 0.3× 111 0.9× 78 0.7× 97 1.1× 24 460

Countries citing papers authored by Samuel A. Sprowls

Since Specialization
Citations

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

Fields of papers citing papers by Samuel A. Sprowls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel A. Sprowls

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel A. Sprowls. A scholar is included among the top collaborators of Samuel A. Sprowls 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 Samuel A. Sprowls. Samuel A. Sprowls 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.
Piktel, Debbie, Samuel A. Sprowls, Michael Craig, et al.. (2023). Chemotherapeutic Activity of Pitavastatin in Vincristine Resistant B-Cell Acute Lymphoblastic Leukemia. Cancers. 15(3). 707–707. 3 indexed citations
2.
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Arsiwala, Tasneem, Samuel A. Sprowls, Peng Wang, et al.. (2023). Blood-tumor barrier opening by MRI-guided transcranial focused ultrasound in a preclinical breast cancer brain metastasis model improves efficacy of combinatorial chemotherapy. Frontiers in Oncology. 13. 1104594–1104594. 9 indexed citations
4.
Pentz, William H., et al.. (2023). An Overview of Nanotherapeutic Drug Delivery Options for the Management of Glioblastoma. SHILAP Revista de lepidopterología. 4(3). 323–345. 4 indexed citations
5.
Sprowls, Samuel A., et al.. (2023). Effects of whole-brain radiation therapy on the blood–brain barrier in immunocompetent and immunocompromised mouse models. Radiation Oncology. 18(1). 22–22. 15 indexed citations
6.
Arsiwala, Tasneem, Samuel A. Sprowls, Peng Wang, et al.. (2022). Characterization of passive permeability after low intensity focused ultrasound mediated blood–brain barrier disruption in a preclinical model. Fluids and Barriers of the CNS. 19(1). 72–72. 13 indexed citations
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Liu, Zhongwei, Neal Shah, Samuel A. Sprowls, et al.. (2021). Overcoming the acquired resistance to gefitinib in lung cancer brain metastasis in vitro and in vivo. Archives of Toxicology. 95(11). 3575–3587. 7 indexed citations
10.
Walker, William H., Samuel A. Sprowls, Jacob R. Bumgarner, et al.. (2021). Circadian Influences on Chemotherapy Efficacy in a Mouse Model of Brain Metastases of Breast Cancer. Frontiers in Oncology. 11. 752331–752331. 8 indexed citations
11.
Arsiwala, Tasneem, Samuel A. Sprowls, Chris E. Adkins, et al.. (2021). Ultrasound-mediated disruption of the blood tumor barrier for improved therapeutic delivery. Neoplasia. 23(7). 676–691. 42 indexed citations
12.
Sprowls, Samuel A., et al.. (2021). A Review of Mathematics Determining Solute Uptake at the Blood–Brain Barrier in Normal and Pathological Conditions. Pharmaceutics. 13(5). 756–756. 2 indexed citations
13.
Hayes, Karen E., Samuel A. Sprowls, Erik A. Bey, et al.. (2020). Y Chromosome LncRNA Are Involved in Radiation Response of Male Non–Small Cell Lung Cancer Cells. Cancer Research. 80(19). 4046–4057. 35 indexed citations
14.
Hu, Heng, Samuel A. Sprowls, Saumyendra N. Sarkar, et al.. (2020). MiR-34a Interacts with Cytochrome c and Shapes Stroke Outcomes. Scientific Reports. 10(1). 3233–3233. 25 indexed citations
15.
Shah, Neal, Zhongwei Liu, Afroz S. Mohammad, et al.. (2020). Drug resistance occurred in a newly characterized preclinical model of lung cancer brain metastasis. BMC Cancer. 20(1). 292–292. 15 indexed citations
16.
Butler, Christopher, Samuel A. Sprowls, Gábor Szalai, et al.. (2020). Hypomethylating Agent Azacitidine Is Effective in Treating Brain Metastasis Triple-Negative Breast Cancer Through Regulation of DNA Methylation of Keratin 18 Gene. Translational Oncology. 13(6). 100775–100775. 27 indexed citations
17.
Mulkearns-Hubert, Erin E., Luke A. Torre-Healy, Daniel J. Silver, et al.. (2019). Development of a Cx46 Targeting Strategy for Cancer Stem Cells. Cell Reports. 27(4). 1062–1072.e5. 29 indexed citations
18.
Sprowls, Samuel A., Tasneem Arsiwala, Jacob R. Bumgarner, et al.. (2019). Improving CNS Delivery to Brain Metastases by Blood–Tumor Barrier Disruption. Trends in cancer. 5(8). 495–505. 86 indexed citations
19.
Shah, Neal, Afroz S. Mohammad, Pushkar Saralkar, et al.. (2018). Investigational chemotherapy and novel pharmacokinetic mechanisms for the treatment of breast cancer brain metastases. Pharmacological Research. 132. 47–68. 105 indexed citations
20.
Mulkearns-Hubert, Erin E., Luke A. Torre-Healy, Daniel J. Silver, et al.. (2018). Development of a Cx46 Targeting Strategy for Cancer Stem Cells. SSRN Electronic Journal. 1 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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