Jon Hughes

6.2k total citations
82 papers, 2.9k citations indexed

About

Jon Hughes is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jon Hughes has authored 82 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Plant Science, 64 papers in Molecular Biology and 24 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jon Hughes's work include Light effects on plants (73 papers), Photosynthetic Processes and Mechanisms (61 papers) and Photoreceptor and optogenetics research (24 papers). Jon Hughes is often cited by papers focused on Light effects on plants (73 papers), Photosynthetic Processes and Mechanisms (61 papers) and Photoreceptor and optogenetics research (24 papers). Jon Hughes collaborates with scholars based in Germany, Netherlands and Russia. Jon Hughes's co-authors include Tilman Lamparter, Jo Mailliet, Lars‐Oliver Essen, Wolfgang Gärtner, Jörg Matysik, Christina Lang, Peter Schmieder, Franz Mittmann, Holger M. Strauss and Elmar Hartmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Jon Hughes

81 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Hughes Germany 33 2.6k 2.3k 1.1k 354 286 82 2.9k
Tilman Lamparter Germany 37 3.2k 1.2× 3.0k 1.3× 1.5k 1.3× 504 1.4× 444 1.6× 118 3.8k
Shelley S. Martin United States 33 2.0k 0.8× 2.4k 1.1× 1.2k 1.0× 679 1.9× 476 1.7× 64 3.1k
Virpi Paakkarinen Finland 22 1.3k 0.5× 2.4k 1.0× 486 0.4× 444 1.3× 84 0.3× 33 2.6k
Rei Narikawa Japan 30 1.7k 0.7× 2.2k 1.0× 1.2k 1.1× 811 2.3× 614 2.1× 73 2.7k
Teruo Shimmen Japan 41 3.2k 1.3× 3.6k 1.6× 836 0.7× 296 0.8× 484 1.7× 189 5.5k
Terry Bricker United States 33 1.2k 0.5× 3.0k 1.3× 760 0.7× 701 2.0× 107 0.4× 94 3.5k
Thomas J. Avenson United States 14 1.1k 0.4× 1.6k 0.7× 422 0.4× 238 0.7× 106 0.4× 20 2.0k
Satoru Tokutomi Japan 35 2.8k 1.1× 2.7k 1.2× 1.5k 1.3× 148 0.4× 86 0.3× 103 3.4k
D. Gradmann Germany 33 1.4k 0.6× 1.3k 0.6× 1.1k 1.0× 104 0.3× 133 0.5× 93 2.9k
Helmut Kirchhoff United States 35 1.3k 0.5× 2.8k 1.2× 748 0.7× 701 2.0× 145 0.5× 67 3.4k

Countries citing papers authored by Jon Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Jon Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Hughes. A scholar is included among the top collaborators of Jon Hughes 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 Jon Hughes. Jon Hughes 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.
Song, Chen, Yang Yang, Jon Hughes, et al.. (2025). Integrated Study of Fluorescence Enhancement in the Y176H Variant of Cyanobacterial Phytochrome Cph1. Biochemistry. 64(6). 1348–1358. 2 indexed citations
3.
Klein, Alexander, Matthias Hiller, Kristof Grohe, et al.. (2024). Sedimentation of large, soluble proteins up to 140 kDa for 1H-detected MAS NMR and 13C DNP NMR – practical aspects. Journal of Biomolecular NMR. 78(3). 179–192. 2 indexed citations
4.
Yang, Yang, Till Stensitzki, Christina Lang, et al.. (2023). Ultrafast protein response in the Pfr state of Cph1 phytochrome. Photochemical & Photobiological Sciences. 22(4). 919–930. 4 indexed citations
5.
Feiler, C., et al.. (2020). Structural insights into photoactivation and signalling in plant phytochromes. Nature Plants. 6(5). 581–588. 32 indexed citations
6.
Nogué, Fabien, et al.. (2020). Multiplex CRISPR-Cas9 mutagenesis of the phytochrome gene family in Physcomitrium (Physcomitrella) patens. Plant Molecular Biology. 107(4-5). 327–336. 9 indexed citations
7.
Escobar, Francisco Vélazquez, Christa Kneip, Norbert Michael, et al.. (2020). The Lumi-R Intermediates of Prototypical Phytochromes. The Journal of Physical Chemistry B. 124(20). 4044–4055. 13 indexed citations
8.
Song, Chen, María Andrea Mroginski, Christina Lang, et al.. (2018). 3D Structures of Plant Phytochrome A as Pr and Pfr From Solid-State NMR: Implications for Molecular Function. Frontiers in Plant Science. 9. 498–498. 34 indexed citations
9.
Sineshchekov, V.A., et al.. (2014). Tyrosine 263 in Cyanobacterial PhytochromeCph1 Optimizes Photochemistry at the prelumi‐R→lumi‐R Step. Photochemistry and Photobiology. 90(4). 786–795. 15 indexed citations
10.
Meyberg, Rabea, et al.. (2012). A phytochrome–phototropin light signaling complex at the plasma membrane. Proceedings of the National Academy of Sciences. 109(30). 12231–12236. 83 indexed citations
11.
Anders, Katrin, David von Stetten, Jo Mailliet, et al.. (2010). Spectroscopic and Photochemical Characterization of the Red‐Light Sensitive Photosensory Module of Cph2 from Synechocystis PCC 6803. Photochemistry and Photobiology. 87(1). 160–173. 38 indexed citations
12.
Lang, Christina, Karthick Babu Sai Sankar Gupta, Johannes Neugebauer, et al.. (2010). Phytochrome as Molecular Machine: Revealing Chromophore Action during the Pfr → Pr Photoconversion by Magic-Angle Spinning NMR Spectroscopy. Journal of the American Chemical Society. 132(26). 9219–9219. 4 indexed citations
13.
Mroginski, María Andrea, David von Stetten, Francisco Vélazquez Escobar, et al.. (2009). Chromophore Structure of Cyanobacterial Phytochrome Cph1 in the Pr State: Reconciling Structural and Spectroscopic Data by QM/MM Calculations. Biophysical Journal. 96(10). 4153–4163. 57 indexed citations
14.
Strauss, Holger M., Peter Schmieder, & Jon Hughes. (2005). Light‐dependent dimerisation in the N‐terminal sensory module of cyanobacterial phytochrome 1. FEBS Letters. 579(18). 3970–3974. 49 indexed citations
15.
Mittmann, Franz, et al.. (2004). Targeted knockout in Physcomitrella reveals direct actions of phytochrome in the cytoplasm. Proceedings of the National Academy of Sciences. 101(38). 13939–13944. 65 indexed citations
16.
Heyne, Karsten, J. F. Herbst, D. Stehlik, et al.. (2002). Ultrafast Dynamics of Phytochrome from the Cyanobacterium Synechocystis, Reconstituted with Phycocyanobilin and Phycoerythrobilin. Biophysical Journal. 82(2). 1004–1016. 100 indexed citations
18.
Sineshchekov, V.A., et al.. (2000). Recombinant phytochrome of the moss Ceratodon purpureus (CP2): fluorescence spectroscopy and photochemistry. Journal of Photochemistry and Photobiology B Biology. 56(2-3). 145–153. 7 indexed citations
19.
Lamparter, Tilman, Jon Hughes, & Elmar Hartmann. (1998). Blue light- and genetically-reversed gravitropic response in protonemata of the moss Ceratodon purpureus. Planta. 206(1). 95–102. 12 indexed citations
20.
Hughes, Jon. (1996). pIDDLE6: A system for ligation and expression-cloning in E. coli. Biotechnology Techniques. 10(11). 831–838. 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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