Lea H. Gregersen

10.2k total citations · 1 hit paper
18 papers, 7.5k citations indexed

About

Lea H. Gregersen is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Lea H. Gregersen has authored 18 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Ecology. Recurrent topics in Lea H. Gregersen's work include RNA Research and Splicing (10 papers), RNA modifications and cancer (6 papers) and MicroRNA in disease regulation (6 papers). Lea H. Gregersen is often cited by papers focused on RNA Research and Splicing (10 papers), RNA modifications and cancer (6 papers) and MicroRNA in disease regulation (6 papers). Lea H. Gregersen collaborates with scholars based in Denmark, United Kingdom and Germany. Lea H. Gregersen's co-authors include Mathias Munschauer, Markus Landthaler, Alexander Loewer, Sebastian Memczak, Christine Kocks, Marvin Jens, Ferdinand le Noble, Nikolaus Rajewsky, Ulrike Ziebold and Sebastian D. Mackowiak and has published in prestigious journals such as Nature, Cell and Molecular Cell.

In The Last Decade

Lea H. Gregersen

18 papers receiving 7.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Circular RNAs are a large class of animal RNAs with regulatory potency

2013 6.2k citations Sebastian Memczak, Marvin Jens et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lea H. Gregersen Denmark	13	7.0k	5.7k	241	163	150	18	7.5k
Marvin Jens Germany	13	10.4k 1.5×	8.5k 1.5×	325 1.3×	18 0.1×	163 1.1×	16	10.8k
Ulrike Ziebold Germany	15	7.1k 1.0×	5.4k 0.9×	276 1.1×	20 0.1×	159 1.1×	19	7.6k
Chuan Huang China	23	3.6k 0.5×	2.9k 0.5×	97 0.4×	28 0.2×	55 0.4×	50	3.9k
Thomas E. Callis United States	20	4.2k 0.6×	3.3k 0.6×	144 0.6×	34 0.2×	34 0.2×	26	5.3k
Peter Müller Germany	26	2.3k 0.3×	1.4k 0.2×	142 0.6×	120 0.7×	234 1.6×	81	3.7k
Daming Zhang China	34	1.8k 0.3×	998 0.2×	129 0.5×	72 0.4×	472 3.1×	184	3.8k
Qinyu Ge China	29	2.3k 0.3×	1.6k 0.3×	292 1.2×	136 0.8×	53 0.4×	139	3.3k
Xiaoguang Liu China	25	966 0.1×	571 0.1×	113 0.5×	46 0.3×	210 1.4×	97	1.9k

Countries citing papers authored by Lea H. Gregersen

Since Specialization

Citations

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

Fields of papers citing papers by Lea H. Gregersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lea H. Gregersen. 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 Lea H. Gregersen. The network helps show where Lea H. Gregersen may publish in the future.

Co-authorship network of co-authors of Lea H. Gregersen

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

All Works

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18 of 18 papers shown

Pappas, George D., Kenji Watanabe, Myung‐Hee Lee, et al.. (2023). MDC1 maintains active elongation complexes of RNA polymerase II. Cell Reports. 42(1). 111979–111979. 3 indexed citations

Gregersen, Lea H., Richard Mitter, & Jesper Q. Svejstrup. (2022). Elongation factor-specific capture of RNA polymerase II complexes. Cell Reports Methods. 2(12). 100368–100368. 2 indexed citations

Gregersen, Lea H., Richard Mitter, & Jesper Q. Svejstrup. (2020). Using TTchem-seq for profiling nascent transcription and measuring transcript elongation. Nature Protocols. 15(2). 604–627. 62 indexed citations

Gregersen, Lea H., Richard Mitter, Alejandro P. Ugalde, et al.. (2019). SCAF4 and SCAF8, mRNA Anti-Terminator Proteins. Cell. 177(7). 1797–1813.e18. 88 indexed citations

Zatreanu, Diana, Zhong Han, Richard Mitter, et al.. (2019). Elongation Factor TFIIS Prevents Transcription Stress and R-Loop Accumulation to Maintain Genome Stability. Molecular Cell. 76(1). 57–69.e9. 86 indexed citations

Gregersen, Lea H. & Jesper Q. Svejstrup. (2018). The Cellular Response to Transcription-Blocking DNA Damage. Trends in Biochemical Sciences. 43(5). 327–341. 101 indexed citations

Zatreanu, Diana, Richard Mitter, Emanuela Tumini, et al.. (2018). Elongation Factor TFIIS Prevents Transcription Stress and R-Loop Accumulation to Maintain Genome Stability. SSRN Electronic Journal. 2 indexed citations

Gregersen, Lea H., Markus Schueler, Mathias Munschauer, et al.. (2014). MOV10 Is a 5′ to 3′ RNA Helicase Contributing to UPF1 mRNA Target Degradation by Translocation along 3′ UTRs. Molecular Cell. 54(4). 573–585. 148 indexed citations

Schueler, Markus, Mathias Munschauer, Lea H. Gregersen, et al.. (2014). Differential protein occupancy profiling of the mRNA transcriptome. Genome biology. 15(1). R15–R15. 52 indexed citations

10.

Memczak, Sebastian, Marvin Jens, Francesca Torti, et al.. (2013). Circular RNAs are a large class of animal RNAs with regulatory potency. Nature. 495(7441). 333–338. 6168 indexed citations breakdown →

11.

Gregersen, Lea H., Anders J. Skanderup, Lisa B. Frankel, et al.. (2012). MicroRNA-143 down-regulates Hexokinase 2 in colon cancer cells. BMC Cancer. 12(1). 232–232. 125 indexed citations

12.

Leucci, Eleonora, Alya Zriwil, Lea H. Gregersen, et al.. (2012). Inhibition of miR-9 de-represses HuR and DICER1 and impairs Hodgkin lymphoma tumour outgrowth in vivo. Oncogene. 31(49). 5081–5089. 70 indexed citations

13.

Viticchiè, Giuditta, Anna Maria Lena, Amanda Formosa, et al.. (2011). Regulatory role for miR-203 in prostate cancer progression. RNA Biology. 8(3). 355–355. 1 indexed citations

14.

Gregersen, Lea H., Donald A. Bryant, & Niels‐Ulrik Frigaard. (2011). Mechanisms and Evolution of Oxidative Sulfur Metabolism in Green Sulfur Bacteria. Frontiers in Microbiology. 2. 116–116. 196 indexed citations

15.

Viticchiè, Giuditta, Anna Maria Lena, Amanda Formosa, et al.. (2011). MiR-203 controls proliferation, migration and invasive potential of prostate cancer cell lines. Cell Cycle. 10(7). 1121–1131. 179 indexed citations

16.

Gregersen, Lea H., Anders J. Skanderup, Lisa B. Frankel, et al.. (2010). MicroRNA-145 Targets YES and STAT1 in Colon Cancer Cells. PLoS ONE. 5(1). e8836–e8836. 136 indexed citations

17.

Gregersen, Lea H., Kirsten S. Habicht, Sandro Peduzzi, et al.. (2009). Dominance of a clonal green sulfur bacterial population in a stratified lake. FEMS Microbiology Ecology. 70(1). 30–41. 48 indexed citations

18.

Gregersen, Lea H., Søren Friis, & Jørgen H. Olsen. (2008). [Cancer in esophagus and cardia--incidence trends in Denmark].. PubMed. 170(17). 1460–4. 3 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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