John Selberg

716 total citations
20 papers, 495 citations indexed

About

John Selberg is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, John Selberg has authored 20 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 8 papers in Biomedical Engineering and 7 papers in Molecular Biology. Recurrent topics in John Selberg's work include Neuroscience and Neural Engineering (15 papers), Photoreceptor and optogenetics research (8 papers) and Analytical Chemistry and Sensors (5 papers). John Selberg is often cited by papers focused on Neuroscience and Neural Engineering (15 papers), Photoreceptor and optogenetics research (8 papers) and Analytical Chemistry and Sensors (5 papers). John Selberg collaborates with scholars based in United States, Costa Rica and Saudi Arabia. John Selberg's co-authors include Marco Rolandi, Mircea Teodorescu, Xenofon Strakosas, Pattawong Pansodtee, Marcella Gomez, Manping Jia, Michael Levin, Zahra Hemmatian, Mohammad Jafari and Chunxiao Wu and has published in prestigious journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

John Selberg

20 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Selberg United States 12 219 169 152 150 97 20 495
Paulo R. F. Rocha Portugal 13 253 1.2× 194 1.1× 178 1.2× 103 0.7× 127 1.3× 44 599
Elisabet Prats‐Alfonso Spain 12 190 0.9× 196 1.2× 87 0.6× 108 0.7× 37 0.4× 23 448
Jee Woong Lee South Korea 11 226 1.0× 168 1.0× 122 0.8× 83 0.6× 110 1.1× 13 585
Ali Maziz France 11 197 0.9× 201 1.2× 146 1.0× 74 0.5× 191 2.0× 20 427
Zi‐He Jin China 10 444 2.0× 222 1.3× 95 0.6× 115 0.8× 149 1.5× 14 632
Jingshan Mo China 10 340 1.6× 188 1.1× 134 0.9× 85 0.6× 64 0.7× 16 589
Hye Jin Kim South Korea 13 265 1.2× 192 1.1× 51 0.3× 161 1.1× 68 0.7× 35 488
Alexey Yakushenko Germany 16 316 1.4× 303 1.8× 216 1.4× 77 0.5× 89 0.9× 23 615
Silke Seyock Germany 8 218 1.0× 167 1.0× 189 1.2× 47 0.3× 64 0.7× 11 382
Laura Matino Italy 10 221 1.0× 121 0.7× 214 1.4× 79 0.5× 46 0.5× 13 395

Countries citing papers authored by John Selberg

Since Specialization
Citations

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

Fields of papers citing papers by John Selberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Selberg

This figure shows the co-authorship network connecting the top 25 collaborators of John Selberg. A scholar is included among the top collaborators of John Selberg 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 John Selberg. John Selberg 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.
Hernandez, Sebastian, H. Schweiger, Houpu Li, et al.. (2024). Modulation of neuronal activity in cortical organoids with bioelectronic delivery of ions and neurotransmitters. Cell Reports Methods. 4(1). 100686–100686. 6 indexed citations
2.
Nguyen, Tiffany, Cristián E. Hernández, Kan Zhu, et al.. (2023). A system for bioelectronic delivery of treatment directed toward wound healing. Scientific Reports. 13(1). 14766–14766. 8 indexed citations
3.
Mantalas, Gary L., John Selberg, Sebastián Torres, et al.. (2022). Modular automated microfluidic cell culture platform reduces glycolytic stress in cerebral cortex organoids. Scientific Reports. 12(1). 20173–20173. 37 indexed citations
4.
Selberg, John, Manping Jia, Pattawong Pansodtee, et al.. (2022). On-chip on-demand delivery of K+ for in vitro bioelectronics. AIP Advances. 12(12). 7 indexed citations
5.
Pansodtee, Pattawong, Helen Rankin Willsey, Gary L. Mantalas, et al.. (2021). Picroscope: low-cost system for simultaneous longitudinal biological imaging. Communications Biology. 4(1). 1261–1261. 11 indexed citations
6.
Jafari, Mohammad, et al.. (2021). A feedback control architecture for bioelectronic devices with applications to wound healing. Journal of The Royal Society Interface. 18(185). 20210497–20210497. 6 indexed citations
7.
Selberg, John, Juanita Mathews, Manping Jia, et al.. (2020). Machine Learning‐Driven Bioelectronics for Closed‐Loop Control of Cells. Advanced Intelligent Systems. 2(12). 6 indexed citations
8.
Jia, Manping, John Selberg, Pattawong Pansodtee, et al.. (2020). Bioelectronic control of chloride ions and concentration with Ag/AgCl contacts. APL Materials. 8(9). 17 indexed citations
9.
Selberg, John, et al.. (2020). Expanding biological control to bioelectronics with machine learning. APL Materials. 8(12). 11 indexed citations
10.
Jafari, Mohammad, John Selberg, Manping Jia, et al.. (2020). Feedback Control of Bioelectronic Devices Using Machine Learning. IEEE Control Systems Letters. 5(4). 1133–1138. 24 indexed citations
11.
Selberg, John, Mohammad Jafari, Juanita Mathews, et al.. (2020). Machine Learning‐Driven Bioelectronics for Closed‐Loop Control of Cells. Advanced Intelligent Systems. 2(12). 24 indexed citations
12.
Wu, Chunxiao, John Selberg, Pattawong Pansodtee, et al.. (2020). A Microfluidic Ion Sensor Array. Small. 16(6). e1906436–e1906436. 19 indexed citations
13.
Selberg, John, Manping Jia, & Marco Rolandi. (2019). Proton conductivity of glycosaminoglycans. PLoS ONE. 14(3). e0202713–e0202713. 33 indexed citations
14.
Levin, Michael, John Selberg, & Marco Rolandi. (2019). Endogenous Bioelectrics in Development, Cancer, and Regeneration: Drugs and Bioelectronic Devices as Electroceuticals for Regenerative Medicine. iScience. 22. 519–533. 51 indexed citations
15.
Strakosas, Xenofon, et al.. (2019). A non-enzymatic glucose sensor enabled by bioelectronic pH control. Scientific Reports. 9(1). 10844–10844. 104 indexed citations
16.
Strakosas, Xenofon, et al.. (2019). A Bioelectronic Platform Modulates pH in Biologically Relevant Conditions. Advanced Science. 6(7). 1800935–1800935. 20 indexed citations
17.
Strakosas, Xenofon, et al.. (2019). Bioelectronic Modulators: A Bioelectronic Platform Modulates pH in Biologically Relevant Conditions (Adv. Sci. 7/2019). Advanced Science. 6(7). 3 indexed citations
18.
Selberg, John, Marcella Gomez, & Marco Rolandi. (2018). The Potential for Convergence between Synthetic Biology and Bioelectronics. Cell Systems. 7(3). 231–244. 47 indexed citations
19.
Patel, Hasmukh A., John Selberg, Dhafer Mohammed M. Al Salah, et al.. (2018). Proton Conduction in Tröger’s Base-Linked Poly(crown ether)s. ACS Applied Materials & Interfaces. 10(30). 25303–25310. 33 indexed citations
20.
Strakosas, Xenofon, John Selberg, Zahra Hemmatian, & Marco Rolandi. (2017). Taking Electrons out of Bioelectronics: From Bioprotonic Transistors to Ion Channels. Advanced Science. 4(7). 1600527–1600527. 28 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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