Hans-Peter Rahn

2.0k total citations
17 papers, 1.6k citations indexed

About

Hans-Peter Rahn is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Hans-Peter Rahn has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Hans-Peter Rahn's work include DNA Repair Mechanisms (5 papers), CRISPR and Genetic Engineering (3 papers) and Genomics and Chromatin Dynamics (3 papers). Hans-Peter Rahn is often cited by papers focused on DNA Repair Mechanisms (5 papers), CRISPR and Genetic Engineering (3 papers) and Genomics and Chromatin Dynamics (3 papers). Hans-Peter Rahn collaborates with scholars based in Germany, United States and Italy. Hans-Peter Rahn's co-authors include M. Cristina Cardoso, Heinrich Leonhardt, Thomas Cremer, Anje Sporbert, Daniele Zink, Petra Gratze, Friedrich C. Luft, Dominik N. Müller, Maren Wellner and Ralph Plehm and has published in prestigious journals such as Nucleic Acids Research, Circulation and Nature Communications.

In The Last Decade

Hans-Peter Rahn

17 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans-Peter Rahn Germany 14 1.2k 177 145 139 129 17 1.6k
F A Gibson United Kingdom 14 960 0.8× 263 1.5× 165 1.1× 214 1.5× 59 0.5× 30 1.7k
Hans Lehrach Germany 14 830 0.7× 81 0.5× 225 1.6× 93 0.7× 55 0.4× 23 1.1k
Mirana Ramialison Australia 22 1.2k 1.1× 69 0.4× 173 1.2× 199 1.4× 119 0.9× 60 1.6k
Begoña Díaz United States 23 919 0.8× 249 1.4× 77 0.5× 633 4.6× 255 2.0× 44 1.8k
Michal Malewicz United Kingdom 17 1.1k 0.9× 217 1.2× 216 1.5× 78 0.6× 163 1.3× 20 1.5k
Jens Preussner Germany 19 885 0.8× 75 0.4× 122 0.8× 63 0.5× 121 0.9× 25 1.2k
Hisanori Kurooka Japan 16 1.6k 1.3× 184 1.0× 158 1.1× 257 1.8× 278 2.2× 21 2.0k
Daniel R. Scoles United States 25 1.2k 1.0× 116 0.7× 174 1.2× 219 1.6× 51 0.4× 58 1.9k
Mark W. Kankel United States 16 1.8k 1.6× 97 0.5× 166 1.1× 273 2.0× 159 1.2× 18 2.4k
Sarah De Val United Kingdom 20 2.6k 2.2× 171 1.0× 493 3.4× 551 4.0× 145 1.1× 34 3.1k

Countries citing papers authored by Hans-Peter Rahn

Since Specialization
Citations

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

Fields of papers citing papers by Hans-Peter Rahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans-Peter Rahn. 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 Hans-Peter Rahn. The network helps show where Hans-Peter Rahn may publish in the future.

Co-authorship network of co-authors of Hans-Peter Rahn

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

All Works

17 of 17 papers shown
1.
Ballhausen, Alexej, Kerstin Dietze, Lars Bullinger, et al.. (2022). Immune phenotypes and checkpoint molecule expression of clonally expanded lymph node-infiltrating T cells in classical Hodgkin lymphoma. Cancer Immunology Immunotherapy. 72(2). 515–521. 5 indexed citations
2.
Bröhl, Dominique, Elena Vasyutina, Joscha Griger, et al.. (2012). Colonization of the Satellite Cell Niche by Skeletal Muscle Progenitor Cells Depends on Notch Signals. Developmental Cell. 23(3). 469–481. 149 indexed citations
3.
Grün, Dominic, Catherine Adamidi, Agnieszka Rybak‐Wolf, et al.. (2012). Gene expression of pluripotency determinants is conserved between mammalian and planarian stem cells. The EMBO Journal. 31(12). 2755–2769. 123 indexed citations
4.
Casas-Delucchi, Corella S., Alessandro Brero, Hans-Peter Rahn, et al.. (2011). Histone acetylation controls the inactive X chromosome replication dynamics. Nature Communications. 2(1). 222–222. 43 indexed citations
5.
Piontek, Jörg, Susanne Fritzsche, Jimmi Cording, et al.. (2011). Elucidating the principles of the molecular organization of heteropolymeric tight junction strands. Cellular and Molecular Life Sciences. 68(23). 3903–3918. 114 indexed citations
6.
Stoeckius, Marlon, Jonas Maaskola, Teresa Colombo, et al.. (2009). Large-scale sorting of C. elegans embryos reveals the dynamics of small RNA expression. Nature Methods. 6(10). 745–751. 73 indexed citations
7.
Kvakan, Heda, Markus Kleinewietfeld, Fatimunnisa Qadri, et al.. (2009). Regulatory T Cells Ameliorate Angiotensin II–Induced Cardiac Damage. Circulation. 119(22). 2904–2912. 273 indexed citations
8.
Rahn, Hans-Peter, et al.. (2008). Homogeneity and persistence of transgene expression by omitting antibiotic selection in cell line isolation. Nucleic Acids Research. 36(17). e111–e111. 53 indexed citations
9.
Weidtkamp‐Peters, Stefanie, Hans-Peter Rahn, M. Cristina Cardoso, & Peter Hemmerich. (2005). Replication of centromeric heterochromatin in mouse fibroblasts takes place in early, middle, and late S phase. Histochemistry and Cell Biology. 125(1-2). 91–102. 30 indexed citations
10.
Rodríguez‐Vilarrupla, Aina, C. Díaz, Núria Canela-Canela, et al.. (2002). Identification of the nuclear localization signal of p21cip1 and consequences of its mutation on cell proliferation. FEBS Letters. 531(2). 319–323. 50 indexed citations
11.
Leonhardt, Heinrich, Hans-Peter Rahn, Anje Sporbert, et al.. (2000). Dynamics of DNA Replication Factories in Living Cells. The Journal of Cell Biology. 149(2). 271–280. 471 indexed citations
12.
Leonhardt, Heinrich, Hans-Peter Rahn, & M. Cristina Cardoso. (1999). Functional Links between Nuclear Structure, Gene Expression, DNA Replication, and Methylation. Critical Reviews in Eukaryotic Gene Expression. 9(3-4). 345–351. 24 indexed citations
13.
Leonhardt, Heinrich, Hans-Peter Rahn, & M. Cristina Cardoso. (1998). Intranuclear targeting of DNA replication factors. Journal of Cellular Biochemistry. 72(S30-31). 243–249. 27 indexed citations
14.
Cardoso, M. Cristina, et al.. (1997). Mapping and Use of a Sequence that Targets DNA Ligase I to Sites of DNA Replication In Vivo. The Journal of Cell Biology. 139(3). 579–587. 90 indexed citations
15.
Fertig, Georg, et al.. (1993). Biotechnological aspects of the production of human pro-kallikrein using the AcNPV-baculovirus-expression system. Cytotechnology. 11(1). 67–75. 5 indexed citations
16.
Rahn, Hans-Peter, et al.. (1992). Purification and characterization of human salivary‐gland prokallikrein from recombinant baculovirus‐infected insect cells. European Journal of Biochemistry. 206(1). 225–233. 20 indexed citations
17.
Rahn, Hans-Peter, et al.. (1992). Expression of Human Salivary-Gland Kallikrein in Insect Cells by a Baculovirus Vector. Birkhäuser Basel eBooks. 38 ( Pt 1). 66–73. 5 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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