Tom G. Bloemberg

524 total citations
12 papers, 438 citations indexed

About

Tom G. Bloemberg is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Tom G. Bloemberg has authored 12 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Ecology. Recurrent topics in Tom G. Bloemberg's work include Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (3 papers) and Analytical Chemistry and Chromatography (2 papers). Tom G. Bloemberg is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (3 papers) and Analytical Chemistry and Chromatography (2 papers). Tom G. Bloemberg collaborates with scholars based in Netherlands, Italy and United States. Tom G. Bloemberg's co-authors include Ron Wehrens, L.M.C. Buydens, Jan Gerretzen, Paul H.C. Eilers, Alan E. Rowan, Ernst R. H. van Eck, Valeria Castelli, Dennis G. H. Hetterscheid, Annalaura Segre and Bas de Bruin and has published in prestigious journals such as Journal of the American Chemical Society, Bioinformatics and Analytical Chemistry.

In The Last Decade

Tom G. Bloemberg

12 papers receiving 425 citations

Peers

Tom G. Bloemberg
Christopher A. Wootton United Kingdom
Tom G. Bloemberg
Citations per year, relative to Tom G. Bloemberg Tom G. Bloemberg (= 1×) peers Christopher A. Wootton

Countries citing papers authored by Tom G. Bloemberg

Since Specialization
Citations

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

Fields of papers citing papers by Tom G. Bloemberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom G. Bloemberg. 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 Tom G. Bloemberg. The network helps show where Tom G. Bloemberg may publish in the future.

Co-authorship network of co-authors of Tom G. Bloemberg

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

All Works

12 of 12 papers shown
1.
Gerretzen, Jan, et al.. (2020). Optimization of continuous-flow diphenyldiazomethane synthesis: an integrated undergraduate chemistry experiment. Journal of Flow Chemistry. 11(1). 59–66. 1 indexed citations
2.
Postma, Geert, Tom G. Bloemberg, Jasper Engel, et al.. (2016). Application of a cocktail approach to screen cytochrome P450 BM3 libraries for metabolic activity and diversity. Analytical and Bioanalytical Chemistry. 408(5). 1425–1443. 6 indexed citations
3.
Wehrens, Ron, Tom G. Bloemberg, & Paul H.C. Eilers. (2015). Fast parametric time warping of peak lists. Bioinformatics. 31(18). 3063–3065. 34 indexed citations
4.
Dongen, Stijn F. M. van, Joost Clerx, Kasper Nørgaard, et al.. (2013). A clamp-like biohybrid catalyst for DNA oxidation. Nature Chemistry. 5(11). 945–951. 65 indexed citations
5.
Bloemberg, Tom G., et al.. (2013). Warping methods for spectroscopic and chromatographic signal alignment: A tutorial. Analytica Chimica Acta. 781. 14–32. 69 indexed citations
6.
Wessels, Hans J. C. T., Tom G. Bloemberg, Maurice van Dael, et al.. (2012). A comprehensive full factorial LCMS/MS proteomics benchmark data set. PROTEOMICS. 12(14). 2276–2281. 9 indexed citations
7.
Bloemberg, Tom G., Hans‐Hermann Wessels, Jolein Gloerich, et al.. (2011). Pinpointing biomarkers in proteomic LC/MS data by moving-window discriminant analysis. Analytica Chimica Acta. 83. 5197–5206. 1 indexed citations
8.
Bloemberg, Tom G., Hans J. C. T. Wessels, Maurice van Dael, et al.. (2011). Pinpointing Biomarkers in Proteomic LC/MS Data by Moving-Window Discriminant Analysis. Analytical Chemistry. 83(13). 5197–5206. 3 indexed citations
9.
Giskeødegård, Guro F., Tom G. Bloemberg, Geert Postma, et al.. (2010). Alignment of high resolution magic angle spinning magnetic resonance spectra using warping methods. Analytica Chimica Acta. 683(1). 1–11. 38 indexed citations
10.
Bloemberg, Tom G., Jan Gerretzen, Hans Wouters, et al.. (2010). Improved parametric time warping for proteomics. Chemometrics and Intelligent Laboratory Systems. 104(1). 65–74. 70 indexed citations
11.
Hetterscheid, Dennis G. H., Wojciech I. Dzik, J.M.M. Smits, et al.. (2006). Rhodium-Mediated Stereoselective Polymerization of “Carbenes”. Journal of the American Chemical Society. 128(30). 9746–9752. 131 indexed citations
12.
Peschar, R., H. Schenk, Andreas Brinkmann, et al.. (2005). Structural Analysis of a Melaminium Polyphosphate from X-ray Powder Diffraction and Solid-State NMR Data. The Journal of Physical Chemistry B. 109(28). 13529–13537. 11 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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