Andrew Barszczyk

1.1k total citations
20 papers, 841 citations indexed

About

Andrew Barszczyk is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Andrew Barszczyk has authored 20 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Andrew Barszczyk's work include Heart Rate Variability and Autonomic Control (5 papers), Neonatal and fetal brain pathology (4 papers) and Anesthesia and Neurotoxicity Research (3 papers). Andrew Barszczyk is often cited by papers focused on Heart Rate Variability and Autonomic Control (5 papers), Neonatal and fetal brain pathology (4 papers) and Anesthesia and Neurotoxicity Research (3 papers). Andrew Barszczyk collaborates with scholars based in Canada, China and Italy. Andrew Barszczyk's co-authors include Zhong‐Ping Feng, Hong‐Shuo Sun, Ekaterina Turlova, Christopher Sun, Kang Lee, Marielle Deurloo, Baofeng Xu, Si Wu, Luo Hong and Wei Jing and has published in prestigious journals such as PLoS ONE, Diabetes and Experimental Neurology.

In The Last Decade

Andrew Barszczyk

20 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Barszczyk Canada 13 249 170 160 141 116 20 841
Ching-Jiunn Tseng Taiwan 21 442 1.8× 220 1.3× 28 0.2× 55 0.4× 78 0.7× 44 1.1k
Liping Xu China 20 670 2.7× 71 0.4× 47 0.3× 109 0.8× 75 0.6× 53 1.3k
Hideyo Ohshika Japan 17 580 2.3× 171 1.0× 29 0.2× 60 0.4× 67 0.6× 96 1.0k
Ketao Ma China 19 521 2.1× 99 0.6× 23 0.1× 51 0.4× 74 0.6× 128 1.1k
Hui Fu China 21 497 2.0× 156 0.9× 16 0.1× 48 0.3× 98 0.8× 52 1.2k
Ivana Resanović Serbia 11 346 1.4× 93 0.5× 21 0.1× 54 0.4× 115 1.0× 14 1.1k
Abedin Vakili Iran 18 347 1.4× 58 0.3× 19 0.1× 30 0.2× 133 1.1× 50 1.1k
Sonja Zafirović Serbia 17 391 1.6× 79 0.5× 19 0.1× 57 0.4× 83 0.7× 35 1.0k
Russell Bialecki United States 19 391 1.6× 208 1.2× 28 0.2× 39 0.3× 68 0.6× 38 884

Countries citing papers authored by Andrew Barszczyk

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Barszczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Barszczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Barszczyk. A scholar is included among the top collaborators of Andrew Barszczyk 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 Andrew Barszczyk. Andrew Barszczyk 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.
Zhou, Weihong, Andrew Barszczyk, Yingjie Wang, et al.. (2021). Waist circumference prediction for epidemiological research using gradient boosted trees. BMC Medical Research Methodology. 21(1). 47–47. 6 indexed citations
2.
Barszczyk, Andrew, et al.. (2021). Smartphones and Video Cameras: Future Methods for Blood Pressure Measurement. Frontiers in Digital Health. 3. 770096–770096. 17 indexed citations
3.
Huang, Wendy, Andrew Barszczyk, Si Wu, et al.. (2021). Blood Biomarkers Predict Cardiac Workload Using Machine Learning. BioMed Research International. 2021(1). 6172815–6172815. 3 indexed citations
4.
Shi, Yajuan, Zhi Zhang, Chen Fu, et al.. (2021). Cardiac‐specific overexpression of miR‐122 induces mitochondria‐dependent cardiomyocyte apoptosis and promotes heart failure by inhibiting Hand2. Journal of Cellular and Molecular Medicine. 25(11). 5326–5334. 34 indexed citations
5.
Barszczyk, Andrew, et al.. (2020). Potential Impact of the 2017 High Blood Pressure Guideline Beyond the United States: A Case Study of the People’s Republic of China. American Journal of Hypertension. 33(9). 846–851. 1 indexed citations
6.
Zhou, Weihong, Yingjie Wang, Xiaoping Gu, et al.. (2020). Importance of general adiposity, visceral adiposity and vital signs in predicting blood biomarkers using machine learning. International Journal of Clinical Practice. 75(1). e13664–e13664. 3 indexed citations
7.
Barszczyk, Andrew & Kang Lee. (2019). Measuring Blood Pressure: from Cuff to Smartphone. Current Hypertension Reports. 21(11). 84–84. 10 indexed citations
8.
Hong, Luo, Andrew Barszczyk, Naresh Vempala, et al.. (2019). Smartphone-Based Blood Pressure Measurement Using Transdermal Optical Imaging Technology. Circulation Cardiovascular Imaging. 12(8). e008857–e008857. 161 indexed citations
9.
Hong, Luo, Wei Jing, Si Wu, et al.. (2019). Stress Determined through Heart Rate Variability Predicts Immune Function. NeuroImmunoModulation. 26(4). 167–173. 10 indexed citations
10.
Ostrowski, Philip P., Andrew Barszczyk, Julia Forstenpointner, Wenhua Zheng, & Zhong‐Ping Feng. (2016). Meta-Analysis of Serum Insulin-Like Growth Factor 1 in Alzheimer’s Disease. PLoS ONE. 11(5). e0155733–e0155733. 53 indexed citations
11.
Liu, Rui, Haitao Wang, Baofeng Xu, et al.. (2016). Cerebrovascular Safety of Sulfonylureas: The Role of KATP Channels in Neuroprotection and the Risk of Stroke in Patients With Type 2 Diabetes. Diabetes. 65(9). 2795–2809. 56 indexed citations
12.
Xu, Baofeng, Wenliang Chen, Ekaterina Turlova, et al.. (2015). Neuroprotective Effects of a PSD-95 Inhibitor in Neonatal Hypoxic-Ischemic Brain Injury. Molecular Neurobiology. 53(9). 5962–5970. 37 indexed citations
13.
Chen, Wenliang, Baofeng Xu, Ling Liu, et al.. (2015). TRPM7 inhibitor carvacrol protects brain from neonatal hypoxic-ischemic injury. Molecular Brain. 8(1). 11–11. 110 indexed citations
14.
Chen, Wenliang, Andrew Barszczyk, Ekaterina Turlova, et al.. (2015). Inhibition of TRPM7 by carvacrol suppresses glioblastoma cell proliferation, migration and invasion. Oncotarget. 6(18). 16321–16340. 115 indexed citations
15.
Turlova, Ekaterina, Marielle Deurloo, Andrew Barszczyk, et al.. (2014). TRPM7 Regulates Axonal Outgrowth and Maturation of Primary Hippocampal Neurons. Molecular Neurobiology. 53(1). 595–610. 56 indexed citations
16.
Chen, Wenliang, Baofeng Xu, Rui Liu, et al.. (2014). Marine Compound Xyloketal B Reduces Neonatal Hypoxic-Ischemic Brain Injury. Marine Drugs. 13(1). 29–47. 44 indexed citations
17.
Sun, Hong‐Shuo, Baofeng Xu, Wenliang Chen, et al.. (2014). Neuronal KATP channels mediate hypoxic preconditioning and reduce subsequent neonatal hypoxic–ischemic brain injury. Experimental Neurology. 263. 161–171. 64 indexed citations
18.
Barszczyk, Andrew, Hong‐Shuo Sun, Yi Quan, et al.. (2014). Differential Roles of the Mevalonate Pathway in the Development and Survival of Mouse Purkinje Cells in Culture. Molecular Neurobiology. 51(3). 1116–1129. 3 indexed citations
19.
Zhao, Liyan, et al.. (2012). Neuroprotective effects of volume-regulated anion channel blocker DCPIB on neonatal hypoxic-ischemic injury. Acta Pharmacologica Sinica. 34(1). 113–118. 32 indexed citations
20.
Quan, Yi, Andrew Barszczyk, Zhong‐Ping Feng, & Hong‐Shuo Sun. (2011). Current understanding of KATP channels in neonatal diseases: focus on insulin secretion disorders. Acta Pharmacologica Sinica. 32(6). 765–780. 26 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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