Gesine Behrens

642 total citations
9 papers, 227 citations indexed

About

Gesine Behrens is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gesine Behrens has authored 9 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Gesine Behrens's work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Gesine Behrens is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Gesine Behrens collaborates with scholars based in Germany, Australia and United States. Gesine Behrens's co-authors include Vigo Heissmeyer, Helmut Holtmann, Ulrich Hamm, Hiltrud Nieberg, Jörg Hackermüller, Jürn Sanders, Anne Hoffmann, Kristin Reiche, Nina Rehage and Reinhard Winzen and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gesine Behrens

8 papers receiving 223 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gesine Behrens Germany	8	130	55	53	43	39	9	227
Ningxin Dang China	5	140 1.1×	46 0.8×	43 0.8×	83 1.9×	39 1.0×	8	245
Steven Norberg United States	5	202 1.6×	83 1.5×	50 0.9×	38 0.9×	10 0.3×	7	318
Alicja Szabelska‐Beręsewicz Poland	9	106 0.8×	7 0.1×	38 0.7×	63 1.5×	10 0.3×	22	230
Iris Lodewijk Spain	7	95 0.7×	31 0.6×	34 0.6×	49 1.1×	36 0.9×	9	204
Shuo Liang China	7	112 0.9×	119 2.2×	30 0.6×	18 0.4×	69 1.8×	21	266
María V. Revuelta United States	8	136 1.0×	31 0.6×	32 0.6×	16 0.4×	36 0.9×	21	212
Desheng Hu China	8	146 1.1×	75 1.4×	68 1.3×	106 2.5×	30 0.8×	10	329
Erich Sabio United States	7	154 1.2×	61 1.1×	62 1.2×	80 1.9×	44 1.1×	7	266
Julia Herglotz Germany	9	220 1.7×	41 0.7×	44 0.8×	37 0.9×	32 0.8×	9	349
Megan Hanna United States	5	64 0.5×	34 0.6×	44 0.8×	19 0.4×	37 0.9×	12	274

Countries citing papers authored by Gesine Behrens

Since Specialization

Citations

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

Fields of papers citing papers by Gesine Behrens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gesine Behrens

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

All Works

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9 of 9 papers shown

Behrens, Gesine & Vigo Heissmeyer. (2022). Cooperation of RNA-Binding Proteins – a Focus on Roquin Function in T Cells. Frontiers in Immunology. 13. 839762–839762. 7 indexed citations

Hoefig, Kai P., Gesine Behrens, Meng Xu, et al.. (2021). Defining the RBPome of primary T helper cells to elucidate higher-order Roquin-mediated mRNA regulation. Nature Communications. 12(1). 5208–5208. 26 indexed citations

Behrens, Gesine, Stephanie L. Edelmann, Thomas Monecke, et al.. (2021). Disrupting Roquin-1 interaction with Regnase-1 induces autoimmunity and enhances antitumor responses. Nature Immunology. 22(12). 1563–1576. 36 indexed citations

Essig, Katharina, Joao C. Guimaraes, Claudia Lohs, et al.. (2018). Roquin targets mRNAs in a 3′-UTR-specific manner by different modes of regulation. Nature Communications. 9(1). 3810–3810. 41 indexed citations

Rehage, Nina, Gesine Behrens, Andreas Maiser, et al.. (2018). Binding of NUFIP2 to Roquin promotes recognition and regulation of ICOS mRNA. Nature Communications. 9(1). 299–299. 28 indexed citations

Behrens, Gesine, Reinhard Winzen, Nina Rehage, et al.. (2018). A translational silencing function of MCPIP1/Regnase-1 specified by the target site context. Nucleic Acids Research. 46(8). 4256–4270. 23 indexed citations

Dhamija, Sonam, Reinhard Winzen, Gesine Behrens, et al.. (2013). Interleukin-17 (IL-17) and IL-1 Activate Translation of Overlapping Sets of mRNAs, Including That of the Negative Regulator of Inflammation, MCPIP1. Journal of Biological Chemistry. 288(26). 19250–19259. 21 indexed citations

Behrens, Gesine, et al.. (2013). Dauerhafte Ausweitung des ökologischen Landbaus in Deutschland: Analyse der Ausstiege von Betrieben und Entwicklung eines Konzepts zur nachhaltigen Vermeidung. Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture).

Sanders, Jürn, et al.. (2012). Reversion from organic to conventional agriculture: A review. Renewable Agriculture and Food Systems. 28(3). 263–275. 45 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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