Gero Wedemann

1.4k total citations
29 papers, 983 citations indexed

About

Gero Wedemann is a scholar working on Molecular Biology, Oncology and Modeling and Simulation. According to data from OpenAlex, Gero Wedemann has authored 29 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Modeling and Simulation. Recurrent topics in Gero Wedemann's work include Genomics and Chromatin Dynamics (15 papers), Mathematical Biology Tumor Growth (7 papers) and DNA and Nucleic Acid Chemistry (7 papers). Gero Wedemann is often cited by papers focused on Genomics and Chromatin Dynamics (15 papers), Mathematical Biology Tumor Growth (7 papers) and DNA and Nucleic Acid Chemistry (7 papers). Gero Wedemann collaborates with scholars based in Germany, United States and Netherlands. Gero Wedemann's co-authors include Jörg Langowski, Karsten Rippe, René Stehr, Nick Kepper, Robert Schöpflin, Udo Schumacher, Christian Münkel, Daniele Zink, Thomas Cremer and Steffen Dietzel and has published in prestigious journals such as Physical Review Letters, Bioinformatics and PLoS ONE.

In The Last Decade

Gero Wedemann

29 papers receiving 975 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gero Wedemann Germany	15	832	177	91	81	64	29	983
Anand Ranjan United States	16	1.3k 1.5×	229 1.3×	42 0.5×	49 0.6×	64 1.0×	23	1.4k
Fedor Kouzine United States	20	1.8k 2.1×	170 1.0×	180 2.0×	57 0.7×	197 3.1×	28	1.9k
Corella S. Casas-Delucchi Germany	16	938 1.1×	111 0.6×	53 0.6×	35 0.4×	146 2.3×	23	1.1k
Nils B. Adey United States	16	727 0.9×	156 0.9×	61 0.7×	54 0.7×	76 1.2×	20	961
Ramya Viswanathan United States	15	875 1.1×	89 0.5×	72 0.8×	90 1.1×	77 1.2×	49	1.1k
Benedikt Rauscher Germany	10	522 0.6×	48 0.3×	118 1.3×	74 0.9×	83 1.3×	16	731
Laura Baranello United States	19	1.4k 1.7×	140 0.8×	238 2.6×	23 0.3×	97 1.5×	30	1.5k
Žaklina Strezoska United States	15	1.1k 1.4×	74 0.4×	250 2.7×	69 0.9×	141 2.2×	22	1.3k
Aaron R. Hieb United States	14	904 1.1×	74 0.4×	120 1.3×	25 0.3×	46 0.7×	16	1.0k
Suzanne Sanford United States	9	823 1.0×	50 0.3×	76 0.8×	20 0.2×	82 1.3×	9	895

Countries citing papers authored by Gero Wedemann

Since Specialization

Citations

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

Fields of papers citing papers by Gero Wedemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gero Wedemann

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

All Works

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20 of 20 papers shown

Hörl, David, et al.. (2024). Nucleosome spacing controls chromatin spatial structure and accessibility. Biophysical Journal. 123(7). 847–857. 2 indexed citations

Wedemann, Gero, et al.. (2022). Cohesin and CTCF complexes mediate contacts in chromatin loops depending on nucleosome positions. Biophysical Journal. 121(24). 4788–4799. 4 indexed citations

Ragoczy, Tobias, David Hörl, Eric Haugen, et al.. (2022). Differences in nanoscale organization of regulatory active and inactive human chromatin. Biophysical Journal. 121(6). 977–990. 8 indexed citations

Lange, Tobias, Vera Labitzky, Kristoffer Riecken, et al.. (2020). The initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments. BMC Cancer. 20(1). 524–524. 9 indexed citations

Schumacher, Udo, et al.. (2020). Absence of convection in solid tumors caused by raised interstitial fluid pressure severely limits success of chemotherapy—a numerical study in cancers. Mathematical Biosciences & Engineering. 17(5). 6128–6148. 5 indexed citations

Schöpflin, Robert, et al.. (2019). Data formats for modelling the spatial structure of chromatin based on experimental positions of nucleosomes. AIMS Biophysics. 6(3). 83–98. 3 indexed citations

Frenzel, Thorsten, et al.. (2017). Radiotherapy and chemotherapy change vessel tree geometry and metastatic spread in a small cell lung cancer xenograft mouse tumor model. PLoS ONE. 12(11). e0187144–e0187144. 9 indexed citations

Schumacher, Udo, et al.. (2015). Simulation of metastatic progression using a computer model including chemotherapy and radiation therapy. Journal of Biomedical Informatics. 57. 74–87. 14 indexed citations

Müller, Oliver J., et al.. (2014). Changing Chromatin Fiber Conformation by Nucleosome Repositioning. Biophysical Journal. 107(9). 2141–2150. 34 indexed citations

10.

Wedemann, Gero, et al.. (2014). Perforin-dependent direct cytotoxicity in natural killer cells induces considerable knockdown of spontaneous lung metastases and computer modelling-proven tumor cell dormancy in a HT29 human colon cancer xenograft mouse model. Molecular Cancer. 13(1). 244–244. 58 indexed citations

11.

Diermeier, Sarah D., Petros Kolovos, Uwe Schwartz, et al.. (2014). TNFα signalling primes chromatin for NF-κB binding and induces rapid and widespread nucleosome repositioning. Genome biology. 15(12). 536–536. 31 indexed citations

12.

Schumacher, Udo, et al.. (2012). Are Metastases from Metastases Clinical Relevant? Computer Modelling of Cancer Spread in a Case of Hepatocellular Carcinoma. PLoS ONE. 7(4). e35689–e35689. 16 indexed citations

13.

Kepper, Nick, et al.. (2011). Dissecting DNA-Histone Interactions in the Nucleosome by Molecular Dynamics Simulations of DNA Unwrapping. Biophysical Journal. 101(8). 1999–2008. 76 indexed citations

14.

Stehr, René, et al.. (2010). Exploring the Conformational Space of Chromatin Fibers and Their Stability by Numerical Dynamic Phase Diagrams. Biophysical Journal. 98(6). 1028–1037. 35 indexed citations

15.

Maffeo, Christopher, Robert Schöpflin, Hergen Brutzer, et al.. (2010). DNA–DNA Interactions in Tight Supercoils Are Described by a Small Effective Charge Density. Physical Review Letters. 105(15). 158101–158101. 79 indexed citations

16.

Busch, Norbert & Gero Wedemann. (2009). Modeling genomic data with type attributes, balancing stability and maintainability. BMC Bioinformatics. 10(1). 97–97. 4 indexed citations

17.

Kepper, Nick, et al.. (2008). Nucleosome Geometry and Internucleosomal Interactions Control the Chromatin Fiber Conformation. Biophysical Journal. 95(8). 3692–3705. 91 indexed citations

18.

Stehr, René, Nick Kepper, Karsten Rippe, & Gero Wedemann. (2008). The Effect of Internucleosomal Interaction on Folding of the Chromatin Fiber. Biophysical Journal. 95(8). 3677–3691. 66 indexed citations

19.

Wedemann, Gero & Jörg Langowski. (2002). Computer Simulation of the 30-Nanometer Chromatin Fiber. Biophysical Journal. 82(6). 2847–2859. 142 indexed citations

20.

Münkel, Christian, Roland Eils, Steffen Dietzel, et al.. (1999). Compartmentalization of Interphase Chromosomes Observed in Simulation and Experiment. Journal of Molecular Biology. 285(3). 1053–1065. 155 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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