Peter J. Burke

7.8k total citations · 1 hit paper
141 papers, 5.9k citations indexed

About

Peter J. Burke is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Peter J. Burke has authored 141 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Electrical and Electronic Engineering, 59 papers in Biomedical Engineering and 56 papers in Materials Chemistry. Recurrent topics in Peter J. Burke's work include Carbon Nanotubes in Composites (39 papers), Graphene research and applications (33 papers) and Molecular Junctions and Nanostructures (20 papers). Peter J. Burke is often cited by papers focused on Carbon Nanotubes in Composites (39 papers), Graphene research and applications (33 papers) and Molecular Junctions and Nanostructures (20 papers). Peter J. Burke collaborates with scholars based in United States, France and Germany. Peter J. Burke's co-authors include A. Timothy Church, Zhen Yu, Chris Rutherglen, Shengdong Li, Dheeraj Jain, Nima Rouhi, Lifeng Zheng, Yung Yu Wang, Christopher Rutherglen and James P. Brody and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Journal of Personality and Social Psychology.

In The Last Decade

Peter J. Burke

138 papers receiving 5.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mitochondria, Bioenergetics and Apoptosis in Cancer

2017 337 citations Peter J. Burke profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Peter J. Burke	2.4k	2.3k	2.0k	1.3k	677	141	5.9k
R. A. Lewis	1.5k 0.6×	808 0.3×	544 0.3×	1.4k 1.1×	584 0.9×	317	5.0k
Yue Wang	7.8k 3.2×	7.1k 3.1×	1.3k 0.6×	2.3k 1.8×	551 0.8×	379	11.4k
Justin S. White	2.9k 1.2×	1.4k 0.6×	5.3k 2.7×	2.1k 1.6×	331 0.5×	116	7.9k
Richard Jones	3.5k 1.4×	6.4k 2.7×	4.1k 2.1×	1.8k 1.4×	822 1.2×	278	15.2k
Zhiyong Zhang	9.7k 4.0×	12.5k 5.4×	6.1k 3.1×	2.3k 1.7×	3.4k 5.0×	544	22.2k
K.A. Jenkins	6.7k 2.7×	5.2k 2.2×	2.3k 1.2×	1.8k 1.4×	89 0.1×	257	10.5k
Ole Hansen	7.0k 2.9×	4.7k 2.0×	3.0k 1.5×	4.8k 3.6×	211 0.3×	530	15.7k
J.M. Chamberlain	2.3k 1.0×	341 0.1×	1.2k 0.6×	2.2k 1.7×	69 0.1×	205	4.0k
D. M. Bloom	3.1k 1.3×	153 0.1×	713 0.4×	3.0k 2.2×	465 0.7×	212	7.2k
J. J. Coleman	5.6k 2.3×	1.5k 0.6×	862 0.4×	4.8k 3.6×	104 0.2×	410	8.2k

Countries citing papers authored by Peter J. Burke

Since Specialization

Citations

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

Fields of papers citing papers by Peter J. Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Burke. 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 Peter J. Burke. The network helps show where Peter J. Burke may publish in the future.

Co-authorship network of co-authors of Peter J. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Burke. A scholar is included among the top collaborators of Peter J. Burke 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 Peter J. Burke. Peter J. Burke 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

Lee, Chia‐Hung, Douglas C. Wallace, & Peter J. Burke. (2023). Super-Resolution Imaging of Voltages in the Interior of Individual, Vital Mitochondria. ACS Nano. 18(2). 1345–1356. 17 indexed citations

Tombola, Francesco, et al.. (2023). Nanowire biosensors with olfactory proteins: towards a genuine electronic nose with single molecule sensitivity and high selectivity. Nanotechnology. 34(46). 465502–465502. 1 indexed citations

Nguyen, Anh H., Paul Marsh, Peter J. Burke, et al.. (2019). Cardiac tissue engineering: state-of-the-art methods and outlook. Journal of Biological Engineering. 13(1). 57–57. 99 indexed citations

Li, Jinfeng, et al.. (2018). Scanning Microwave Microscopy of Vital Mitochondria in Respiration Buffer. PubMed. 2018. 115–118. 13 indexed citations

Pham, Phi H. Q., Weidong Zhang, Jinfeng Li, et al.. (2017). Broadband impedance match to two-dimensional materials in the terahertz domain. Nature Communications. 8(1). 2233–2233. 44 indexed citations

Li, Jinfeng, et al.. (2016). Cristae remodeling causes acidification detected by integrated graphene sensor during mitochondrial outer membrane permeabilization. Scientific Reports. 6(1). 35907–35907. 18 indexed citations

Zhou, Weiwei, et al.. (2015). Detection of single ion channel activity with carbon nanotubes. Scientific Reports. 5(1). 9208–9208. 19 indexed citations

Farid, Sidra, Xenia Meshik, Min Sun Choi, et al.. (2015). Detection of Interferon gamma using graphene and aptamer based FET-like electrochemical biosensor. Biosensors and Bioelectronics. 71. 294–299. 126 indexed citations

Pham, Phi H. Q., et al.. (2014). Towards perfect impedance matching of free space to a 2D material. Journal of Bioresource Management. 1928–1930. 3 indexed citations

10.

Burke, Peter J.. (2014). Charging the Quantum Capacitance of Graphene with a Single Biological Ion Channel. Biophysical Journal. 106(2). 499a–500a. 2 indexed citations

11.

Dávila, Antonio, et al.. (2012). Wafer-scale mitochondrial membrane potential assays. Lab on a Chip. 12(15). 2719–2719. 15 indexed citations

12.

Dávila, Antonio, et al.. (2010). Assessment of mitochondrial membrane potential using an on-chip microelectrode in a microfluidic device. Lab on a Chip. 10(13). 1683–1683. 21 indexed citations

13.

Rouhi, Nima, et al.. (2010). Fundamental Limits on the Mobility of Nanotube‐Based Semiconducting Inks. Advanced Materials. 23(1). 94–99. 93 indexed citations

14.

Burke, Peter J. & Christopher Rutherglen. (2009). Towards a single-chip, implantable RFID system: is a single-cell radio possible?. Biomedical Microdevices. 12(4). 589–596. 23 indexed citations

15.

Burke, Peter J.. (2007). Nanotubes and Nanowires. 14 indexed citations

16.

Burke, Peter J., Zhen Yu, & Shengdong Li. (2005). Carbon Nanotube Devices for GHz to THz Applications. Bulletin of the American Physical Society. 5 indexed citations

17.

Burke, Peter J., et al.. (2005). Using ultra-long nanotubes to make identical CNT FETs. TechConnect Briefs. 3(2005). 123–125. 1 indexed citations

18.

Simmons, J. A., Michael C. Wanke, Xomalin G. Peralta, et al.. (2003). In-plane magneto-plasmons in grating gated double quantum well field effect transistors. 25(1). 60–60.

19.

Burke, Peter J.. (1997). High-Frequency Electron Dynamics in Thin Film Superconductors and Applications to Fast, Sensitive Thz Detectors. PhDT. 6022. 10 indexed citations

20.

Skalare, A., W. R. McGrath, B. Bumble, et al.. (1995). Noise Temperature and IF Bandwidth of a 530 GHz Diffusion-Cooled Hot-Electron Bolometer Mixer. Softwaretechnik-Trends. 262. 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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