Cees Otto

7.8k total citations · 1 hit paper
164 papers, 6.0k citations indexed

About

Cees Otto is a scholar working on Biophysics, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Cees Otto has authored 164 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Biophysics, 60 papers in Molecular Biology and 37 papers in Analytical Chemistry. Recurrent topics in Cees Otto's work include Spectroscopy Techniques in Biomedical and Chemical Research (87 papers), Spectroscopy and Chemometric Analyses (35 papers) and Protein Interaction Studies and Fluorescence Analysis (24 papers). Cees Otto is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (87 papers), Spectroscopy and Chemometric Analyses (35 papers) and Protein Interaction Studies and Fluorescence Analysis (24 papers). Cees Otto collaborates with scholars based in Netherlands, United Kingdom and United States. Cees Otto's co-authors include Jan Greve, Aufried Lenferink, Frits F. M. de Mul, Henk‐Jan van Manen, Yvonne M. Kraan, G.J. Puppels, C. Neil Hunter, Michel Robert‐Nicoud, Thomas M. Jovin and D. J. Arndt‐Jovin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Cees Otto

163 papers receiving 5.9k citations

Hit Papers

Studying single living cells and chromosomes by confocal ... 1990 2026 2002 2014 1990 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
Cees Otto Netherlands 40 2.6k 2.5k 1.6k 1.3k 912 164 6.0k
Katsumasa Fujita Japan 39 3.1k 1.2× 1.7k 0.7× 2.1k 1.4× 1.1k 0.9× 493 0.5× 188 5.5k
Eric O. Potma United States 47 3.6k 1.4× 1.7k 0.7× 2.2k 1.4× 1.4k 1.0× 1.8k 2.0× 165 7.8k
Rohit Bhargava United States 44 3.6k 1.4× 1.4k 0.5× 1.9k 1.2× 2.2k 1.7× 730 0.8× 239 6.9k
Lu Wei China 37 2.0k 0.8× 1.6k 0.6× 1.1k 0.7× 934 0.7× 315 0.3× 129 5.1k
Max Diem United States 52 4.9k 1.9× 2.7k 1.1× 878 0.6× 3.4k 2.5× 918 1.0× 159 7.8k
Haifeng Wang China 27 1.3k 0.5× 1.4k 0.6× 1.2k 0.8× 462 0.3× 444 0.5× 83 4.2k
Thomas Huser United States 50 3.7k 1.4× 2.7k 1.1× 3.8k 2.4× 1.0k 0.8× 1.4k 1.5× 186 10.2k
Conor L. Evans United States 31 2.9k 1.1× 1.0k 0.4× 3.6k 2.3× 1.2k 0.9× 600 0.7× 139 7.1k
Marcus T. Cicerone United States 38 1.6k 0.6× 1.3k 0.5× 1.5k 1.0× 973 0.7× 789 0.9× 99 6.0k
Richard A. Dluhy United States 42 859 0.3× 2.9k 1.2× 2.0k 1.3× 359 0.3× 1.1k 1.2× 117 6.0k

Countries citing papers authored by Cees Otto

Since Specialization
Citations

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

Fields of papers citing papers by Cees Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cees Otto

This figure shows the co-authorship network connecting the top 25 collaborators of Cees Otto. A scholar is included among the top collaborators of Cees Otto 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 Cees Otto. Cees Otto 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.
Kischkel, Brenda, Pieter J. Emans, Guus van den Akker, et al.. (2024). Discovery of calcite as a new pro-inflammatory calcium-containing crystal in human osteoarthritic synovial fluid. Osteoarthritis and Cartilage. 32(10). 1261–1272. 4 indexed citations
3.
Janssen, M., et al.. (2024). The Prevalence of Titanium Dioxide Particles in Synovial Fluid Samples Drops after European Union Ban. University of Twente Research Information. 2(1). 45–51. 3 indexed citations
4.
Lozano−Andrés, Estefanía, Abril Gijsbers, Andrea Ridolfi, et al.. (2023). Physical association of low density lipoprotein particles and extracellular vesicles unveiled by single particle analysis. Journal of Extracellular Vesicles. 12(11). e12376–e12376. 30 indexed citations
5.
Pujari, Sidharam P., et al.. (2020). Organosilicon interaction with biological membranes. University of Twente Research Information. 1035–1036. 1 indexed citations
6.
Lee, Wooje, Afroditi Nanou, Linda G. Rikkert, et al.. (2018). Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy. Analytical Chemistry. 90(19). 11290–11296. 97 indexed citations
7.
Timmermans, Frank, et al.. (2017). Non-traditional whispering gallery modes inside microspheres visualized with Fourier analysis. Optics Express. 25(23). 28946–28946. 1 indexed citations
8.
Hilderink, Janneke, Cees Otto, Aufried Lenferink, et al.. (2013). Label-Free Detection of Insulin and Glucagon within Human Islets of Langerhans Using Raman Spectroscopy. PLoS ONE. 8(10). e78148–e78148. 17 indexed citations
9.
Garbacik, E.T., et al.. (2013). In plantaimaging of Δ9-tetrahydrocannabinolic acid inCannabis sativa L.with hyperspectral coherent anti-Stokes Raman scattering microscopy. Journal of Biomedical Optics. 18(4). 46009–46009. 5 indexed citations
10.
Napoli, Claudia Di, Francesco Masia, Iestyn Pope, et al.. (2012). Chemically‐specific dual/differential CARS micro‐spectroscopy of saturated and unsaturated lipid droplets. Journal of Biophotonics. 7(1-2). 68–76. 22 indexed citations
11.
12.
Terstappen, Leon W.M.M., et al.. (2010). A comparison of breast cancer tumor cells with varying expression of the Her2/neu receptor by Raman microspectroscopic imaging. The Analyst. 135(12). 3220–3220. 37 indexed citations
13.
Pully, V.V., Aufried Lenferink, & Cees Otto. (2010). Time‐lapse Raman imaging of single live lymphocytes. Journal of Raman Spectroscopy. 42(2). 167–173. 63 indexed citations
14.
Frese, Raoul N., Pep Pàmies, John D. Olsen, et al.. (2007). Protein Shape and Crowding Drive Domain Formation and Curvature in Biological Membranes. Biophysical Journal. 94(2). 640–647. 62 indexed citations
16.
Manen, Henk‐Jan van, Yvonne M. Kraan, Dirk Roos, & Cees Otto. (2005). Single-cell Raman and fluorescence microscopy reveal the association of lipid bodies with phagosomes in leukocytes. Proceedings of the National Academy of Sciences. 102(29). 10159–10164. 263 indexed citations
17.
Bahatyrova, S., Raoul N. Frese, C. Alistair Siebert, et al.. (2004). The native architecture of a photosynthetic membrane. Nature. 430(7003). 1058–1062. 360 indexed citations
18.
Uzunbajakava, Natallia E. & Cees Otto. (2003). Combined Raman and continuous-wave-excited two-photon fluorescence cell imaging. Optics Letters. 28(21). 2073–2073. 34 indexed citations
19.
Sijtsema, Nanna M., Arjan G.J. Tibbe, Arthur J. Verhoeven, et al.. (2000). Intracellular Reactions in Single Human Granulocytes upon Phorbol Myristate Acetate Activation using Confocal Raman Microspectroscopy. Biophysical Journal. 78(5). 2606–2613. 28 indexed citations
20.
Puppels, G.J., Frits F. M. de Mul, Cees Otto, et al.. (1990). Studying single living cells and chromosomes by confocal Raman microspectroscopy. Nature. 347(6290). 301–303. 718 indexed citations breakdown →

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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