Ganesan Karthikeyan

620 total citations
7 papers, 384 citations indexed

About

Ganesan Karthikeyan is a scholar working on Spectroscopy, Materials Chemistry and Biophysics. According to data from OpenAlex, Ganesan Karthikeyan has authored 7 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Spectroscopy, 6 papers in Materials Chemistry and 5 papers in Biophysics. Recurrent topics in Ganesan Karthikeyan's work include Advanced NMR Techniques and Applications (6 papers), Electron Spin Resonance Studies (5 papers) and Solid-state spectroscopy and crystallography (4 papers). Ganesan Karthikeyan is often cited by papers focused on Advanced NMR Techniques and Applications (6 papers), Electron Spin Resonance Studies (5 papers) and Solid-state spectroscopy and crystallography (4 papers). Ganesan Karthikeyan collaborates with scholars based in France, Switzerland and Italy. Ganesan Karthikeyan's co-authors include Olivier Ouari, Gilles Casano, Sébastien Abel, Lyndon Emsley, Paul Tordo, Dominik J. Kubicki, Aaron J. Rossini, Maxim Yulikov, Anne Lesage and Gunnar Jeschke and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Physical Chemistry B and The Journal of Physical Chemistry Letters.

In The Last Decade

Ganesan Karthikeyan

7 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ganesan Karthikeyan France	7	262	241	206	60	52	7	384
Sébastien Abel France	6	267 1.0×	241 1.0×	224 1.1×	47 0.8×	46 0.9×	8	371
Georges Menzildjian Switzerland	10	235 0.9×	297 1.2×	109 0.5×	54 0.9×	28 0.5×	11	342
Thorsten Bahrenberg Israel	8	227 0.9×	151 0.6×	244 1.2×	30 0.5×	54 1.0×	11	312
Kong Ooi Tan United States	13	321 1.2×	365 1.5×	138 0.7×	123 2.0×	27 0.5×	30	513
Dmitry Akhmetzyanov Germany	10	243 0.9×	151 0.6×	250 1.2×	30 0.5×	81 1.6×	16	361
V. Weis United States	8	255 1.0×	314 1.3×	209 1.0×	125 2.1×	21 0.4×	10	409
Anil P. Jagtap Germany	14	418 1.6×	462 1.9×	332 1.6×	175 2.9×	69 1.3×	20	667
Ilya Kuprov United Kingdom	13	312 1.2×	193 0.8×	117 0.6×	69 1.1×	141 2.7×	19	474
Nino Wili Switzerland	11	182 0.7×	132 0.5×	177 0.9×	38 0.6×	48 0.9×	27	332
James R. Harbridge United States	9	223 0.9×	128 0.5×	269 1.3×	54 0.9×	75 1.4×	11	370

Countries citing papers authored by Ganesan Karthikeyan

Since Specialization

Citations

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

Fields of papers citing papers by Ganesan Karthikeyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesan Karthikeyan

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesan Karthikeyan. A scholar is included among the top collaborators of Ganesan Karthikeyan 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 Ganesan Karthikeyan. Ganesan Karthikeyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Menzildjian, Georges, Alicia Lund, Maxim Yulikov, et al.. (2021). Efficient Dynamic Nuclear Polarization up to 230 K with Hybrid BDPA-Nitroxide Radicals at a High Magnetic Field. The Journal of Physical Chemistry B. 125(48). 13329–13338. 9 indexed citations

2.

Avalos, Claudia E., Sabine Richert, Etienne Socie, et al.. (2020). Enhanced Intersystem Crossing and Transient Electron Spin Polarization in a Photoexcited Pentacene–Trityl Radical. The Journal of Physical Chemistry A. 124(29). 6068–6075. 27 indexed citations

3.

Berruyer, Pierrick, Snædís Björgvinsdóttir, Andrea Bertarello, et al.. (2020). Dynamic Nuclear Polarization Enhancement of 200 at 21.15 T Enabled by 65 kHz Magic Angle Spinning. The Journal of Physical Chemistry Letters. 11(19). 8386–8391. 71 indexed citations

4.

Karthikeyan, Ganesan, Alessio Bonucci, Gilles Casano, et al.. (2017). A Bioresistant Nitroxide Spin Label for In‐Cell EPR Spectroscopy: In Vitro and In Oocytes Protein Structural Dynamics Studies. Angewandte Chemie. 130(5). 1380–1384. 25 indexed citations

5.

Karthikeyan, Ganesan, Alessio Bonucci, Gilles Casano, et al.. (2017). A Bioresistant Nitroxide Spin Label for In‐Cell EPR Spectroscopy: In Vitro and In Oocytes Protein Structural Dynamics Studies. Angewandte Chemie International Edition. 57(5). 1366–1370. 93 indexed citations

6.

Salnikov, Evgeniy S., Sébastien Abel, Ganesan Karthikeyan, et al.. (2017). Dynamic Nuclear Polarization/Solid‐State NMR Spectroscopy of Membrane Polypeptides: Free‐Radical Optimization for Matrix‐Free Lipid Bilayer Samples. ChemPhysChem. 18(15). 2103–2113. 20 indexed citations

7.

Kubicki, Dominik J., Gilles Casano, Martin Schwarzwälder, et al.. (2015). Rational design of dinitroxide biradicals for efficient cross-effect dynamic nuclear polarization. Chemical Science. 7(1). 550–558. 139 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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