Jenna L. Rickus

2.0k total citations
56 papers, 1.5k citations indexed

About

Jenna L. Rickus is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jenna L. Rickus has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 14 papers in Biomedical Engineering and 13 papers in Molecular Biology. Recurrent topics in Jenna L. Rickus's work include Analytical Chemistry and Sensors (12 papers), Electrochemical sensors and biosensors (10 papers) and Neuroscience and Neural Engineering (10 papers). Jenna L. Rickus is often cited by papers focused on Analytical Chemistry and Sensors (12 papers), Electrochemical sensors and biosensors (10 papers) and Neuroscience and Neural Engineering (10 papers). Jenna L. Rickus collaborates with scholars based in United States, Ireland and Russia. Jenna L. Rickus's co-authors include D. Marshall Porterfield, Sabrina S. Jedlicka, Eric S. McLamore, Raghavendra G. Mirmira, Jin Shi, David Jaroch, Jonathan C. Claussen, Natalie D. Stull, Stephanie C. Colvin and Carmella Evans‐Molina and has published in prestigious journals such as ACS Nano, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Jenna L. Rickus

54 papers receiving 1.4k citations

Peers

Jenna L. Rickus

EEE

SURGE

CMN

Chi‐Chun Fong Hong Kong

Jan Přibyl Czechia

Andrea A. Robitzki Germany

Pingbo Huang Hong Kong

Natalia Gómez Argentina

Chenfei Yu United States

Olivier Frey Switzerland

Wenbin Zhong China

Ruslan I. Dmitriev Ireland

Chi‐Chun Fong Hong Kong

Jenna L. Rickus

679 ×1.7

754 ×2.0

124 ×0.4

EEE

125 ×0.5

SURGE

107 ×0.6

CMN

Citations per year, relative to Jenna L. Rickus Jenna L. Rickus (= 1×) peers Chi‐Chun Fong

Countries citing papers authored by Jenna L. Rickus

Since Specialization

Citations

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

Fields of papers citing papers by Jenna L. Rickus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenna L. Rickus. 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 Jenna L. Rickus. The network helps show where Jenna L. Rickus may publish in the future.

Co-authorship network of co-authors of Jenna L. Rickus

This figure shows the co-authorship network connecting the top 25 collaborators of Jenna L. Rickus. A scholar is included among the top collaborators of Jenna L. Rickus 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 Jenna L. Rickus. Jenna L. Rickus 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

Gundlach, Ellen, et al.. (2020). The next wave: We will all be data scientists. Statistical Analysis and Data Mining The ASA Data Science Journal. 13(6). 544–547. 5 indexed citations

Alam, Muhammad A., et al.. (2018). Real-time characterization of uptake kinetics of glioblastomavs.astrocytes in 2D cell culture using microelectrode array. The Analyst. 143(20). 4954–4966. 7 indexed citations

Voytik‐Harbin, Sherry L., et al.. (2018). Presence of stromal cells in a bioengineered tumor microenvironment alters glioblastoma migration and response to STAT3 inhibition. PLoS ONE. 13(3). e0194183–e0194183. 33 indexed citations

Salmi, Mari L., Araceli Cantero, Mingjie Zhang, et al.. (2017). An autonomous lab on a chip for space flight calibration of gravity-induced transcellular calcium polarization in single-cell fern spores. Lab on a Chip. 17(6). 1095–1103. 17 indexed citations

Voytik‐Harbin, Sherry L., et al.. (2015). Extracellular Matrix Properties Regulate the Migratory Response of Glioblastoma Stem Cells in Three-Dimensional Culture. Tissue Engineering Part A. 21(19-20). 2572–2582. 59 indexed citations

Cai, Shanbao, Haiyan Wang, Wei Liu, et al.. (2014). Lipidomic Analysis of Glioblastoma Multiforme Using Mass Spectrometry. 2(2). 132–143. 6 indexed citations

Gaire, Janak, et al.. (2014). Resistive and reactive changes to the impedance of intracortical microelectrodes can be mitigated with polyethylene glycol under acute in vitro and in vivo settings. PubMed. 7. 33–33. 28 indexed citations

Jaroch, David, Jing Lü, Rajtarun Madangopal, et al.. (2013). Mouse and human islets survive and function after coating by biosilicification. PMC. 2 indexed citations

Stensberg, Matthew, Rajtarun Madangopal, Qingshan Wei, et al.. (2013). Silver nanoparticle-specific mitotoxicity inDaphnia magna. Nanotoxicology. 8(8). 833–842. 52 indexed citations

10.

Tersey, Sarah A., Yurika Nishiki, Andrew T. Templin, et al.. (2012). Islet β-Cell Endoplasmic Reticulum Stress Precedes the Onset of Type 1 Diabetes in the Nonobese Diabetic Mouse Model. Diabetes. 61(4). 818–827. 287 indexed citations

11.

Jaroch, David, Eric S. McLamore, Wen Zhang, et al.. (2011). Cell‐mediated deposition of porous silica on bacterial biofilms. Biotechnology and Bioengineering. 108(10). 2249–2260. 16 indexed citations

12.

Shi, Jin, Eric S. McLamore, David Jaroch, et al.. (2010). Oscillatory glucose flux in INS 1 pancreatic β cells: A self-referencing microbiosensor study. Analytical Biochemistry. 411(2). 185–193. 29 indexed citations

13.

McLamore, Eric S., Jin Shi, Jonathan C. Claussen, et al.. (2010). A self-referencing glutamate biosensor for measuring real time neuronal glutamate flux. Journal of Neuroscience Methods. 189(1). 14–22. 54 indexed citations

14.

McLamore, Eric S., Jin Shi, David Jaroch, et al.. (2010). A self referencing platinum nanoparticle decorated enzyme-based microbiosensor for real time measurement of physiological glucose transport. Biosensors and Bioelectronics. 26(5). 2237–2245. 67 indexed citations

15.

Pierce, Andrew L., et al.. (2009). Thin-film silica sol–gel coatings for neural microelectrodes. Journal of Neuroscience Methods. 180(1). 106–110. 28 indexed citations

16.

Ward, Matthew, et al.. (2009). Real-time seizure prediction from local field potentials using an adaptive Wiener algorithm. Computers in Biology and Medicine. 40(1). 97–108. 36 indexed citations

17.

Padalkar, Sonal, et al.. (2007). Preparation of biomolecule gel matrices for electron microscopy. Ultramicroscopy. 108(4). 309–313. 1 indexed citations

18.

Zhao, J., et al.. (2006). Liposome-Doped Nanocomposites as Artificial-Cell-Based Biosensors: Detection of Listeriolysin O. Biotechnology Progress. 22(1). 32–37. 32 indexed citations

19.

Banerjee, Pratik, Mark T. Morgan, Jenna L. Rickus, et al.. (2006). Hybridoma Ped-2E9 cells cultured under modified conditions can sensitively detect Listeria monocytogenes and Bacillus cereus. Applied Microbiology and Biotechnology. 73(6). 1423–1434. 11 indexed citations

20.

Haddish‐Berhane, Nahor, Kamyar Haghighi, Carlos M. Corvalán, et al.. (2005). A multi-scale stochastic drug release model for polymer-coated targeted drug delivery systems. Journal of Controlled Release. 110(2). 314–322. 35 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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