Marco Tompitak

446 total citations
10 papers, 303 citations indexed

About

Marco Tompitak is a scholar working on Molecular Biology, Astronomy and Astrophysics and Ecology. According to data from OpenAlex, Marco Tompitak has authored 10 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Astronomy and Astrophysics and 1 paper in Ecology. Recurrent topics in Marco Tompitak's work include RNA and protein synthesis mechanisms (9 papers), Genomics and Chromatin Dynamics (7 papers) and Protein Structure and Dynamics (2 papers). Marco Tompitak is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Genomics and Chromatin Dynamics (7 papers) and Protein Structure and Dynamics (2 papers). Marco Tompitak collaborates with scholars based in Netherlands, Switzerland and United States. Marco Tompitak's co-authors include Helmut Schießel, J. F. J. van den Brand, W. Del Pozzo, S. Vitale, Behrouz Eslami-Mossallam, M. Agathos, J. Meidam, J. Veitch, Cédric Vaillant and Raoul D. Schram and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Marco Tompitak

10 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Tompitak Netherlands	8	162	134	49	40	20	10	303
Kyle Crocker United States	8	68 0.4×	75 0.6×	8 0.2×	10 0.3×	4 0.2×	10	155
Erik Spence United States	10	200 1.2×	224 1.7×	13 0.3×	43 1.1×	5 0.3×	15	276
T. F. Chang Taiwan	10	53 0.3×	183 1.4×	64 1.3×	5 0.1×	33 1.6×	22	223
Géraldine Servant United States	8	204 1.3×	290 2.2×	5 0.1×	35 0.9×	177 8.8×	10	541
A. L. Stanger United States	10	142 0.9×	678 5.1×	10 0.2×	14 0.3×	35 1.8×	15	730
C. W. S. Ziesolleck Canada	10	241 1.5×	367 2.7×	173 3.5×	18 0.5×		11	381
G. Musmann Germany	3	150 0.9×	245 1.8×	63 1.3×	8 0.2×		3	264
Philip Heinisch Germany	9	27 0.2×	125 0.9×	13 0.3×	10 0.3×		14	176
Long Jiang China	10	17 0.1×	120 0.9×	11 0.2×	4 0.1×	22 1.1×	24	202
J. H. Romig United States	8	133 0.8×	323 2.4×	23 0.5×	4 0.1×	2 0.1×	15	340

Countries citing papers authored by Marco Tompitak

Since Specialization

Citations

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

Fields of papers citing papers by Marco Tompitak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Tompitak

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

All Works

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10 of 10 papers shown

1.

Tompitak, Marco, Cédric Vaillant, & Helmut Schießel. (2017). Genomes of Multicellular Organisms Have Evolved to Attract Nucleosomes to Promoter Regions. Biophysical Journal. 112(3). 505–511. 29 indexed citations

2.

Tompitak, Marco, et al.. (2017). Designing nucleosomal force sensors. Physical review. E. 95(5). 52402–52402. 10 indexed citations

3.

Tompitak, Marco, G. T. Barkema, & Helmut Schießel. (2017). Benchmarking and refining probability-based models for nucleosome-DNA interaction. BMC Bioinformatics. 18(1). 157–157. 14 indexed citations

4.

Tompitak, Marco, et al.. (2017). The role of DNA sequence in nucleosome breathing. The European Physical Journal E. 40(11). 106–106. 27 indexed citations

5.

Schießel, Helmut, et al.. (2017). Performing SELEX experiments in silico. The Journal of Chemical Physics. 147(17). 174101–174101. 16 indexed citations

6.

Tompitak, Marco, et al.. (2016). Can Markov Chain Models Predict Nucleosome Positioning?. Biophysical Journal. 110(3). 404a–404a. 1 indexed citations

7.

Eslami-Mossallam, Behrouz, Raoul D. Schram, Marco Tompitak, John van Noort, & Helmut Schießel. (2016). Multiplexing Genetic and Nucleosome Positioning Codes: A Computational Approach. PLoS ONE. 11(6). e0156905–e0156905. 39 indexed citations

8.

Tompitak, Marco, Helmut Schießel, & G. T. Barkema. (2016). Force responses of strongly intrinsically curved DNA helices deviate from worm-like chain predictions. Europhysics Letters (EPL). 116(6). 68005–68005. 5 indexed citations

9.

Tompitak, Marco, et al.. (2016). Why Do Nucleosomes Unwrap Asymmetrically?. The Journal of Physical Chemistry B. 120(26). 5855–5863. 27 indexed citations

10.

Agathos, M., J. Meidam, W. Del Pozzo, et al.. (2015). Constraining the neutron star equation of state with gravitational wave signals from coalescing binary neutron stars. Physical review. D. Particles, fields, gravitation, and cosmology. 92(2). 135 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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