Aleksandra Klimas

1.1k total citations
25 papers, 688 citations indexed

About

Aleksandra Klimas is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Cognitive Neuroscience. According to data from OpenAlex, Aleksandra Klimas has authored 25 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 11 papers in Biophysics and 6 papers in Cognitive Neuroscience. Recurrent topics in Aleksandra Klimas's work include Photoreceptor and optogenetics research (14 papers), Neuroscience and Neural Engineering (14 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Aleksandra Klimas is often cited by papers focused on Photoreceptor and optogenetics research (14 papers), Neuroscience and Neural Engineering (14 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Aleksandra Klimas collaborates with scholars based in United States, United Kingdom and Italy. Aleksandra Klimas's co-authors include Emilia Entcheva, Christina M. Ambrosi, John C. Williams, Harold Bien, Yongxin Zhao, Gil Bub, Alexander D. Corbett, Rebecca A.B. Burton, Jianjin Xu and Xuxin Chen and has published in prestigious journals such as Circulation, Nature Communications and ACS Nano.

In The Last Decade

Aleksandra Klimas

24 papers receiving 675 citations

Peers

Countries citing papers authored by Aleksandra Klimas

Since Specialization

Citations

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

Fields of papers citing papers by Aleksandra Klimas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Klimas

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Magnify is a universal molecular anchoring strategy for expansion microscopy 2023 ·Nature Biotechnology ·Aleksandra Klimas, Brendan R. Gallagher, (unknown), (unknown), (unknown), (unknown), Donna B. Stolz, Franca Cambi, Simon C. Watkins, Steven L. Brody, Amjad Horani, Alison L. Barth, Christopher I. Moore, Xi Ren, Yongxin Zhao	61
2	MicroMagnify: A Multiplexed Expansion Microscopy Method for Pathogens and Infected Tissues 2023 ·Advanced Science ·(unknown), Caroline Stefani, (unknown), Aleksandra Klimas, (unknown), (unknown), (unknown), Tatyana Milman, Yuhong Wang, Brendan R. Gallagher, (unknown), Bhanu P. Jena, José S. Pulido, Scott G. Filler, Aaron P. Mitchell, N. Luisa Hiller, Adam Lacy‐Hulbert, Yongxin Zhao	9
3	Super‐Resolution Vibrational Imaging Using Expansion Stimulated Raman Scattering Microscopy 2022 ·Advanced Science ·Lixue Shi, Aleksandra Klimas, Brendan R. Gallagher, (unknown), Feifei Fu, (unknown), Yupeng Miao, Xi Ren, Yongxin Zhao, Wei Min	37
4	OptoGap is an optogenetics-enabled assay for quantification of cell–cell coupling in multicellular cardiac tissue 2021 ·Scientific Reports ·Patrick M. Boyle, (unknown), Aleksandra Klimas, John C. Williams, Natalia A. Trayanova, Emilia Entcheva	12
5	All-Optical Electrophysiology Refines Populations of In Silico Human iPSC-CMs for Drug Evaluation 2020 ·Biophysical Journal ·Michelangelo Paci, Elisa Passini, Aleksandra Klimas, Stefano Severi, Jari Hyttinen, Blanca Rodríguez, Emilia Entcheva	42
6	Expansion Microscopy: Toward Nanoscale Imaging of a Diverse Range of Biomolecules 2020 ·ACS Nano ·Aleksandra Klimas, Yongxin Zhao	13
7	EPID – a useful interfraction QC tool 2019 ·Polish Journal of Medical Physics And Engineering ·Aleksandra Klimas, (unknown), (unknown), B. Bekman, (unknown), (unknown), (unknown), (unknown), (unknown), Krzysztof Ślosarek	2
8	Multimodal on-axis platform for all-optical electrophysiology with near-infrared probes in human stem-cell-derived cardiomyocytes 2019 ·Progress in Biophysics and Molecular Biology ·Aleksandra Klimas, Gloria Ortiz, Steven Boggess, Evan W. Miller, Emilia Entcheva	38
9	Nanoscopic Imaging of Human Tissue Sections via Physical and Isotropic Expansion 2019 ·Journal of Visualized Experiments ·Aleksandra Klimas, Octavian Bucur, (unknown), Yongxin Zhao	4
10	Basics of Expansion Microscopy 2019 ·Current Protocols in Cytometry ·Aleksandra Klimas, Brendan R. Gallagher, Yongxin Zhao	3
11	In Silico Populations Optimized on Optogenetic Recordings Predict Drug Effects in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes 2018 ·Computing in cardiology ·Michelangelo Paci, Elisa Passini, Aleksandra Klimas, Stefano Severi, Jari Hyttinen, Blanca Rodríguez, Emilia Entcheva	6
12	Abstract 18357: OptoDyCE Improves High-Throughput Cardiotoxicity Detection in Dynamically-Paced Human iPS-CMs Using Voltage-Calcium Recordings 2017 ·Circulation ·Aleksandra Klimas, Emilia Entcheva	1
13	Field Trial Transmission of 1.5 Tb/s Superchannel over 875 km, with 250 Gb/s Real-Time Transponders and EDFA Amplification 2017 ·Optical Fiber Communication Conference ·(unknown), B. Lavigne, (unknown), (unknown), (unknown), Aleksandra Klimas, Thierry Zami, (unknown), (unknown), (unknown), (unknown)	2
14	OptoDyCE as an automated system for high-throughput all-optical dynamic cardiac electrophysiology 2016 ·Nature Communications ·Aleksandra Klimas, Christina M. Ambrosi, (unknown), John C. Williams, Harold Bien, Emilia Entcheva	113
15	Abstract 19439: Adeno-Associated Virus Mediated Gene Delivery: Implications for Scalable in vivo Cardiac Models of Optogenetics 2016 ·Circulation ·Christina M. Ambrosi, Aleksandra Klimas, (unknown), Emilia Entcheva	1
16	Disease Modeling in Human Induced Pluripotent Stem Cell Derived Cardiomyocytes Using High-Throughput All-Optical Dynamic Cardiac Electrophysiology 2016 ·Aleksandra Klimas, Yiyang Wu, Christina M. Ambrosi, (unknown), John C. Williams, Harold Bien, Gholson J. Lyon, Emilia Entcheva	2
17	Optical control of excitation waves in cardiac tissue 2015 ·Nature Photonics ·Rebecca A.B. Burton, Aleksandra Klimas, Christina M. Ambrosi, Jakub Tomek, Alexander D. Corbett, Emilia Entcheva, Gil Bub	98
18	Cardiac applications of optogenetics 2014 ·Progress in Biophysics and Molecular Biology ·Christina M. Ambrosi, Aleksandra Klimas, (unknown), Emilia Entcheva	59
19	Computational Optogenetics: Empirically-Derived Voltage- and Light-Sensitive Channelrhodopsin-2 Model 2013 ·PLoS Computational Biology ·John C. Williams, Jianjin Xu, Zhongju Lu, Aleksandra Klimas, Xuxin Chen, Christina M. Ambrosi, Ira S. Cohen, Emilia Entcheva	110
20	Intervention Study in High School Students with Elevated Blood Pressures 1980 ·Annals of Nutrition and Metabolism ·(unknown), Siegfried Heyden, Desinia B. Miller, (unknown), Aleksandra Klimas, Karen Pilkington	39

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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