Claudia Ortmeier

1.4k total citations · 1 hit paper
9 papers, 987 citations indexed

About

Claudia Ortmeier is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Plant Science. According to data from OpenAlex, Claudia Ortmeier has authored 9 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Plant Science. Recurrent topics in Claudia Ortmeier's work include Pluripotent Stem Cells Research (5 papers), Renal and related cancers (4 papers) and Plant and Biological Electrophysiology Studies (2 papers). Claudia Ortmeier is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Renal and related cancers (4 papers) and Plant and Biological Electrophysiology Studies (2 papers). Claudia Ortmeier collaborates with scholars based in Germany, United States and Romania. Claudia Ortmeier's co-authors include Luca Gentile, Hans R. Schöler, Guangming Wu, Marcos J. Araúzo‐Bravo, Vittorio Sebastiano, Kinarm Ko, David Ruau, Christof Bernemann, Martin Zenke and Holm Zaehres and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Cell Biology.

In The Last Decade

Claudia Ortmeier

9 papers receiving 972 citations

Hit Papers

Oct4-Induced Pluripotency in Adult Neural Stem Cells 2009 2026 2014 2020 2009 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
Claudia Ortmeier Germany 7 909 128 94 93 74 9 987
Anne E. Conway United States 6 735 0.8× 70 0.5× 63 0.7× 89 1.0× 98 1.3× 7 820
Rodrigo Osorno United Kingdom 10 1.1k 1.2× 110 0.9× 103 1.1× 105 1.1× 60 0.8× 11 1.1k
Michelle Desler United States 15 808 0.9× 76 0.6× 79 0.8× 96 1.0× 42 0.6× 20 935
Jian-Chien Dominic Heng Singapore 7 990 1.1× 140 1.1× 133 1.4× 124 1.3× 45 0.6× 7 1.1k
Sarit Klugman United States 3 1.1k 1.2× 142 1.1× 102 1.1× 165 1.8× 29 0.4× 3 1.2k
Susanna Liu United States 6 916 1.0× 188 1.5× 128 1.4× 91 1.0× 35 0.5× 8 1.0k
Katarzyna Tilgner United Kingdom 14 993 1.1× 111 0.9× 63 0.7× 96 1.0× 106 1.4× 17 1.1k
Zhenzhi Chng Singapore 8 911 1.0× 207 1.6× 110 1.2× 63 0.7× 109 1.5× 8 1.1k
Doug Powers United States 2 952 1.0× 191 1.5× 176 1.9× 172 1.8× 41 0.6× 2 1.0k
Tamar Golan‐Lev Israel 16 1.0k 1.1× 150 1.2× 106 1.1× 263 2.8× 71 1.0× 26 1.2k

Countries citing papers authored by Claudia Ortmeier

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Ortmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Ortmeier

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

All Works

9 of 9 papers shown
1.
MacCarthy, Caitlin M., Jan Huertas, Claudia Ortmeier, et al.. (2022). OCT4 interprets and enhances nucleosome flexibility. Nucleic Acids Research. 50(18). 10311–10327. 18 indexed citations
2.
Horiuchi, Y, et al.. (2021). Transcription Factors Active in the Anterior Blastema of Schmidtea mediterranea. Biomolecules. 11(12). 1782–1782. 3 indexed citations
3.
Wu, Guangming, Dong‐Wook Han, Yu Gong, et al.. (2013). Establishment of totipotency does not depend on Oct4A. Nature Cell Biology. 15(9). 1089–1097. 85 indexed citations
4.
Moritz, Sören, et al.. (2012). Heterogeneity of planarian stem cells in the S/G2/M phase. The International Journal of Developmental Biology. 56(1-2-3). 117–125. 32 indexed citations
5.
Wu, Guangming, Luca Gentile, Jeong Tae, et al.. (2010). Efficient Derivation of Pluripotent Stem Cells from siRNA-Mediated Cdx2 -Deficient Mouse Embryos. Stem Cells and Development. 20(3). 485–493. 7 indexed citations
6.
Sterneckert, Jared, Martin Stehling, Christof Bernemann, et al.. (2010). Neural Induction Intermediates Exhibit Distinct Roles of Fgf Signaling  . Stem Cells. 28(10). 1772–1781. 31 indexed citations
7.
Wu, Guangming, Luca Gentile, Katherina Psathaki, et al.. (2010). Initiation of trophectoderm lineage specification in mouse embryos is independent of Cdx2. Development. 137(24). 4159–4169. 105 indexed citations
8.
Kim, Jeong Beom, Vittorio Sebastiano, Guangming Wu, et al.. (2009). Oct4-Induced Pluripotency in Adult Neural Stem Cells. Cell. 136(3). 411–419. 704 indexed citations breakdown →
9.
Hof, Peter van ‘t, et al.. (2002). Digital analysis of cDNA abundance; expression profiling by means of restriction fragment fingerprinting. BMC Genomics. 3(1). 7–7. 2 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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