John Jeffers

6.4k total citations · 2 hit papers
114 papers, 5.0k citations indexed

About

John Jeffers is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, John Jeffers has authored 114 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Atomic and Molecular Physics, and Optics, 74 papers in Artificial Intelligence and 12 papers in Molecular Biology. Recurrent topics in John Jeffers's work include Quantum Information and Cryptography (72 papers), Quantum Mechanics and Applications (36 papers) and Quantum optics and atomic interactions (33 papers). John Jeffers is often cited by papers focused on Quantum Information and Cryptography (72 papers), Quantum Mechanics and Applications (36 papers) and Quantum optics and atomic interactions (33 papers). John Jeffers collaborates with scholars based in United Kingdom, Australia and United States. John Jeffers's co-authors include Gerard P. Zambetti, Stephen M. Barnett, James J. Hsieh, Emily H. Cheng, Hyungjin Kim, Ho-Chou Tu, R. Loudon, Osamu Takeuchi, Decheng Ren and David T. Pegg and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

John Jeffers

106 papers receiving 4.9k citations

Hit Papers

Puma is an essential mediator of p53-dependent and -indep... 2003 2026 2010 2018 2003 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Jeffers United Kingdom 29 2.4k 1.5k 1.2k 1.0k 481 114 5.0k
Bing Zhang United States 29 964 0.4× 1.7k 1.1× 570 0.5× 360 0.3× 565 1.2× 132 4.3k
Maneesh Jain United States 50 3.8k 1.5× 1.1k 0.7× 267 0.2× 2.5k 2.4× 1.2k 2.5× 153 7.8k
Guang Yao China 29 2.5k 1.0× 532 0.3× 259 0.2× 755 0.7× 157 0.3× 92 4.8k
Philip Walther United States 50 770 0.3× 4.7k 3.1× 5.2k 4.3× 739 0.7× 172 0.4× 221 9.8k
N. B. Abraham United States 39 981 0.4× 2.0k 1.3× 252 0.2× 527 0.5× 1.3k 2.8× 171 5.5k
Hiroshi Hirai Japan 28 1.7k 0.7× 745 0.5× 88 0.1× 977 0.9× 793 1.6× 166 4.1k
Masahiro Okamoto Japan 32 1.6k 0.6× 416 0.3× 206 0.2× 242 0.2× 184 0.4× 194 3.4k
John Jumper United States 15 4.1k 1.7× 379 0.2× 335 0.3× 260 0.3× 143 0.3× 24 5.7k
Siegfried Janz Canada 57 2.1k 0.9× 4.3k 2.8× 293 0.2× 1.3k 1.3× 970 2.0× 416 10.8k
Philippe Robin France 38 3.5k 1.4× 186 0.1× 127 0.1× 1.1k 1.0× 361 0.8× 217 6.7k

Countries citing papers authored by John Jeffers

Since Specialization
Citations

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

Fields of papers citing papers by John Jeffers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Jeffers

This figure shows the co-authorship network connecting the top 25 collaborators of John Jeffers. A scholar is included among the top collaborators of John Jeffers 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 Jeffers. John Jeffers 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.
Pritchard, Jonathan D., et al.. (2024). Object detection and range finding with quantum states using simple detection. Physical Review Applied. 21(6).
2.
Barnett, Stephen M. & John Jeffers. (2024). The quantum theory of light. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 382(2287). 20230349–20230349.
3.
Brougham, Thomas, et al.. (2023). Using random coherent states to mimic quantum illumination. Physical review. A. 108(5). 2 indexed citations
4.
Graffitti, Francesco, Zhe Xian Koong, Peter Barrow, et al.. (2023). Single-emitter quantum key distribution over 175 km of fibre with optimised finite key rates. Nature Communications. 14(1). 3573–3573. 29 indexed citations
5.
Jeffers, John, Emília M. Pinto, Jerold E. Rehg, et al.. (2021). The Common Germline TP53-R337H Mutation Is Hypomorphic and Confers Incomplete Penetrance and Late Tumor Onset in a Mouse Model. Cancer Research. 81(9). 2442–2456. 9 indexed citations
6.
Jeffers, John. (2019). Nonlocal Coherent Perfect Absorption. Physical Review Letters. 123(14). 143602–143602. 12 indexed citations
7.
Roger, Thomas, Ashley Lyons, Daniel Giovannini, et al.. (2016). Coherent Absorption of N00N States. Physical Review Letters. 117(2). 23601–23601. 30 indexed citations
8.
Roger, Thomas, Stefano Vezzoli, Eliot Bolduc, et al.. (2015). Coherent perfect absorption in deeply subwavelength films in the single-photon regime. Nature Communications. 6(1). 7031–7031. 142 indexed citations
9.
Donaldson, Ross, et al.. (2015). Experimental Implementation of a Quantum Optical State Comparison Amplifier. Physical Review Letters. 114(12). 120505–120505. 26 indexed citations
10.
Collins, Robert J., Ross Donaldson, Vedran Dunjko, et al.. (2013). Optical realisation of Quantum Digital Signatures without quantum memory. arXiv (Cornell University). 1 indexed citations
11.
Kuribayashi, Kageaki, Niklas K. Finnberg, John Jeffers, Gerard P. Zambetti, & Wafik S. El‐Deiry. (2011). The relative contribution of pro-apoptotic p53-target genes in the triggering of apoptosis following DNA damage in vitro and in vivo. Cell Cycle. 10(14). 2380–2389. 61 indexed citations
12.
Ren, Decheng, Ho-Chou Tu, Hyungjin Kim, et al.. (2010). BID, BIM, and PUMA Are Essential for Activation of the BAX- and BAK-Dependent Cell Death Program. Science. 330(6009). 1390–1393. 378 indexed citations
13.
Kim, Hyungjin, Ho-Chou Tu, Decheng Ren, et al.. (2009). Stepwise Activation of BAX and BAK by tBID, BIM, and PUMA Initiates Mitochondrial Apoptosis. Molecular Cell. 36(3). 487–499. 477 indexed citations
14.
Phillips, Darren C., Sean Garrison, John Jeffers, & Gerard P. Zambetti. (2009). Assays to Measure p53-Dependent and -Independent Apoptosis. Methods in molecular biology. 559. 143–159. 8 indexed citations
15.
Pegg, David T. & John Jeffers. (2005). Quantum nature of laser light. Journal of Modern Optics. 52(13). 1835–1856. 14 indexed citations
16.
Scroggie, A.J., et al.. (2005). Reversible soliton motion. Physical Review E. 71(4). 46602–46602. 15 indexed citations
17.
Barnett, Stephen M., Erika Andersson, John Jeffers, Patrik Öhberg, & Osamu Hirota. (2004). Quantum Communication, Measurement and Computing. 734. 66 indexed citations
18.
Jeffers, John, et al.. (2004). Field-state measurement in a micromaser using retrodictive quantum theory (12 pages). Physical Review A. 69(4). 43806. 1 indexed citations
19.
Jeffers, John, Evan Parganas, Youngsoo Lee, et al.. (2003). Puma is an essential mediator of p53-dependent and -independent apoptotic pathways. Cancer Cell. 4(4). 321–328. 727 indexed citations breakdown →
20.
Barnett, Stephen M., David T. Pegg, John Jeffers, & Ottavia Jedrkiewicz. (2001). Master Equation for Retrodiction of Quantum Communication Signals. Physical Review Letters. 86(11). 2455–2458. 43 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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