Bettina Elshorst

601 total citations
18 papers, 416 citations indexed

About

Bettina Elshorst is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Bettina Elshorst has authored 18 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Spectroscopy. Recurrent topics in Bettina Elshorst's work include Protein Structure and Dynamics (5 papers), Fibroblast Growth Factor Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Bettina Elshorst is often cited by papers focused on Protein Structure and Dynamics (5 papers), Fibroblast Growth Factor Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Bettina Elshorst collaborates with scholars based in Germany, France and Switzerland. Bettina Elshorst's co-authors include Harald Schwalbe, Christian Griesinger, Martin Vogtherr, Krishna Saxena, S. Grimme, Ernesto Carafoli, Ulrich Schieborr, Petra Schulte, Thomas Langer and Thomas Vorherr and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Biochemistry.

In The Last Decade

Bettina Elshorst

17 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bettina Elshorst Germany 8 361 81 61 59 45 18 416
M. Schwalbe Germany 11 497 1.4× 105 1.3× 98 1.6× 35 0.6× 78 1.7× 12 674
Saravanakumar Narayanan Germany 9 510 1.4× 88 1.1× 102 1.7× 55 0.9× 39 0.9× 9 661
Philippe Cronet Germany 13 654 1.8× 110 1.4× 49 0.8× 44 0.7× 28 0.6× 15 787
Marı́a Silvina Fornasari Argentina 15 516 1.4× 143 1.8× 35 0.6× 91 1.5× 40 0.9× 34 631
Jaime L. Stark United States 13 287 0.8× 58 0.7× 25 0.4× 55 0.9× 42 0.9× 14 403
Michael Forstner Switzerland 15 453 1.3× 69 0.9× 78 1.3× 23 0.4× 25 0.6× 21 589
Chenyun Guo China 13 427 1.2× 93 1.1× 20 0.3× 27 0.5× 102 2.3× 58 534
Theodoros K. Karamanos United Kingdom 15 685 1.9× 157 1.9× 65 1.1× 47 0.8× 103 2.3× 32 866
A. Clay Clark United States 11 341 0.9× 119 1.5× 44 0.7× 14 0.2× 20 0.4× 14 458
Jennifer M. Bui Canada 13 418 1.2× 103 1.3× 44 0.7× 102 1.7× 43 1.0× 26 540

Countries citing papers authored by Bettina Elshorst

Since Specialization
Citations

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

Fields of papers citing papers by Bettina Elshorst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bettina Elshorst

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

All Works

18 of 18 papers shown
1.
Jahn‐Hofmann, Kerstin, Bodo Brunner, Mike W. Helms, et al.. (2025). Trivalent siRNA-Conjugates with Guanosine as ASGPR-Binder Show Potent Knock-Down In Vivo. Journal of Medicinal Chemistry. 68(6). 6193–6209.
2.
Kombo, David C., Sungtaek Lim, Bettina Elshorst, et al.. (2024). Predictions of Colloidal Molecular Aggregation Using AI/ML Models. ACS Omega. 9(26). 28691–28706. 2 indexed citations
3.
Evers, Andreas, Stefania Pfeiffer‐Marek, Martin Bossart, et al.. (2018). Peptide Optimization at the Drug Discovery-Development Interface: Tailoring of Physicochemical Properties Toward Specific Formulation Requirements. Journal of Pharmaceutical Sciences. 108(4). 1404–1414. 20 indexed citations
4.
5.
Pilger, Jens, Artur Mazur, Peter Monecke, et al.. (2015). A Combination of Spin Diffusion Methods for the Determination of Protein–Ligand Complex Structural Ensembles. Angewandte Chemie International Edition. 54(22). 6511–6515. 16 indexed citations
6.
Pilger, Jens, Artur Mazur, Peter Monecke, et al.. (2015). A Combination of Spin Diffusion Methods for the Determination of Protein–Ligand Complex Structural Ensembles. Angewandte Chemie. 127(22). 6611–6615. 4 indexed citations
7.
Sikorska, Justyna, et al.. (2015). Identification of new hit scaffolds by INPHARMA-guided virtual screening. MedChemComm. 6(8). 1501–1507. 1 indexed citations
8.
Schieborr, Ulrich, Sridhar Sreeramulu, Bettina Elshorst, et al.. (2013). MOTOR: Model assisted software for NMR structure determination. Proteins Structure Function and Bioinformatics. 81(11). 2007–2022. 1 indexed citations
9.
Elshorst, Bettina, Krishna Saxena, Ulrich Schieborr, & Harald Schwalbe. (2012). 1H, 13C and 15N assignment of D2 domain of human fibroblast growth factor receptor 4. Biomolecular NMR Assignments. 7(2). 179–182. 2 indexed citations
10.
Saxena, Krishna, Ulrich Schieborr, Oliver Anderka, et al.. (2010). Influence of Heparin Mimetics on Assembly of the FGF·FGFR4 Signaling Complex. Journal of Biological Chemistry. 285(34). 26628–26640. 29 indexed citations
11.
Langer, Thomas, Sridhar Sreeramulu, Martin Vogtherr, et al.. (2005). Folding and activity of cAMP‐dependent protein kinase mutants. FEBS Letters. 579(19). 4049–4054. 5 indexed citations
12.
Schieborr, Ulrich, Martin Vogtherr, Bettina Elshorst, et al.. (2005). How Much NMR Data Is Required To Determine a Protein–Ligand Complex Structure?. ChemBioChem. 6(10). 1891–1898. 35 indexed citations
13.
Matter, Hans, Manfred Schudok, Bettina Elshorst, et al.. (2005). QSAR-by-NMR: quantitative insights into structural determinants for binding affinity by analysis of 1H/15N chemical shift differences in MMP-3 ligands. Bioorganic & Medicinal Chemistry Letters. 15(7). 1779–1783. 4 indexed citations
14.
Langer, Thomas, Martin Vogtherr, Bettina Elshorst, et al.. (2004). NMR Backbone Assignment of a Protein Kinase Catalytic Domain by a Combination of Several Approaches: Application to the Catalytic Subunit of cAMP‐Dependent Protein Kinase. ChemBioChem. 5(11). 1508–1516. 47 indexed citations
15.
Vogtherr, Martin, S. Grimme, Bettina Elshorst, et al.. (2003). Antimalarial Drug Quinacrine Binds to C-Terminal Helix of Cellular Prion Protein. Journal of Medicinal Chemistry. 46(17). 3563–3564. 73 indexed citations
16.
Elshorst, Bettina, Doris M. Jacobs, Harald Schwalbe, & Thomas Langer. (2003). Letter to the Editor: 1H, 13C and 15N backbone resonance assignment of the Integrin α2 I-domain. Journal of Biomolecular NMR. 27(2). 191–192. 1 indexed citations
17.
Elshorst, Bettina, Michael Hennig, Annette Diener, et al.. (1999). Unusual Structural Properties of a Complex of Calmodulin with a Binding Peptide of the Ca2+-Pump: A NMR Study.. Max Planck Institute for Plasma Physics. 38. 12330–12332. 1 indexed citations
18.
Elshorst, Bettina, M. Hennig, Alexander C. Diener, et al.. (1999). NMR Solution Structure of a Complex of Calmodulin with a Binding Peptide of the Ca2+ Pump,. Biochemistry. 38(38). 12320–12332. 160 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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