Ann Katrin Greifenberg

1.4k total citations
8 papers, 762 citations indexed

About

Ann Katrin Greifenberg is a scholar working on Molecular Biology, Oncology and Virology. According to data from OpenAlex, Ann Katrin Greifenberg has authored 8 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Virology. Recurrent topics in Ann Katrin Greifenberg's work include Protein Degradation and Inhibitors (4 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer-related Molecular Pathways (3 papers). Ann Katrin Greifenberg is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer-related Molecular Pathways (3 papers). Ann Katrin Greifenberg collaborates with scholars based in Germany, United States and Czechia. Ann Katrin Greifenberg's co-authors include Matthias Geyer, Christian A. Bösken, Nicholas Kwiatkowski, Tinghu Zhang, Jarrod A. Marto, Scott B. Ficarro, Nathanael S. Gray, K. Anand, Theresa Manz and Nancy M. Hannett and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and Molecular Cell.

In The Last Decade

Ann Katrin Greifenberg

8 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Katrin Greifenberg Germany 7 641 267 102 60 54 8 762
Alan L. Leggett United States 8 1.1k 1.7× 365 1.4× 120 1.2× 91 1.5× 61 1.1× 8 1.2k
Tapan Bagui United States 10 370 0.6× 268 1.0× 81 0.8× 44 0.7× 73 1.4× 13 486
Michael Grondine United States 8 421 0.7× 265 1.0× 67 0.7× 20 0.3× 76 1.4× 14 544
Branka Mijatov Australia 10 690 1.1× 362 1.4× 47 0.5× 46 0.8× 58 1.1× 10 851
Ryan S. Soderquist United States 13 503 0.8× 194 0.7× 57 0.6× 60 1.0× 44 0.8× 15 652
Ian Hammond-Martel Canada 11 734 1.1× 242 0.9× 190 1.9× 39 0.7× 64 1.2× 17 969
Luis A. Carvajal United States 10 550 0.9× 354 1.3× 49 0.5× 92 1.5× 36 0.7× 29 814
Barbara Hibner United States 6 391 0.6× 223 0.8× 64 0.6× 30 0.5× 41 0.8× 11 519
Claire Bonfils Canada 12 956 1.5× 287 1.1× 38 0.4× 111 1.9× 51 0.9× 25 1.1k
Keelan Z. Guiley United States 11 604 0.9× 273 1.0× 100 1.0× 16 0.3× 80 1.5× 15 804

Countries citing papers authored by Ann Katrin Greifenberg

Since Specialization
Citations

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

Fields of papers citing papers by Ann Katrin Greifenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Katrin Greifenberg. 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 Ann Katrin Greifenberg. The network helps show where Ann Katrin Greifenberg may publish in the future.

Co-authorship network of co-authors of Ann Katrin Greifenberg

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

All Works

8 of 8 papers shown
1.
Jiang, Baishan, Jie Jiang, Ines H. Kaltheuner, et al.. (2021). Structure-activity relationship study of THZ531 derivatives enables the discovery of BSJ-01-175 as a dual CDK12/13 covalent inhibitor with efficacy in Ewing sarcoma. European Journal of Medicinal Chemistry. 221. 113481–113481. 41 indexed citations
2.
Michaela, Rohrmoser, Michael Kluge, Gruber-Eber Anita, et al.. (2018). MIR sequences recruit zinc finger protein ZNF768 to expressed genes. Nucleic Acids Research. 47(2). 700–715. 15 indexed citations
3.
Sansó, Miriam, Rebecca S. Levin, Jesse Lipp, et al.. (2016). P-TEFb regulation of transcription termination factor Xrn2 revealed by a chemical genetic screen for Cdk9 substrates. Genes & Development. 30(1). 117–131. 112 indexed citations
4.
Zhang, Tinghu, Nicholas Kwiatkowski, Sarah E. Dixon-Clarke, et al.. (2016). Covalent targeting of remote cysteine residues to develop CDK12 and CDK13 inhibitors. Nature Chemical Biology. 12(10). 876–884. 243 indexed citations
5.
Jaenicke, Laura A., Björn von Eyß, Anne Carstensen, et al.. (2015). Ubiquitin-Dependent Turnover of MYC Antagonizes MYC/PAF1C Complex Accumulation to Drive Transcriptional Elongation. Molecular Cell. 61(1). 54–67. 73 indexed citations
6.
Greifenberg, Ann Katrin, Robert Düster, Koen Bartholomeeusen, et al.. (2015). Structural and Functional Analysis of the Cdk13/Cyclin K Complex. Cell Reports. 14(2). 320–331. 103 indexed citations
7.
Greifenberg, Ann Katrin, et al.. (2014). Brd4 activates P-TEFb for RNA polymerase II CTD phosphorylation. Nucleic Acids Research. 42(12). 7577–7590. 174 indexed citations
8.
Johnson, Sara E., Neil F. Johnson, Benjamin Primack, et al.. (2014). 238 Reversal of primary and acquired PARP-inhibitor resistance in BRCA-mutated triple-negative breast cancers by inhibition of transcriptional cyclin-dependent kinases (CDKs). European Journal of Cancer. 50. 80–80. 1 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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