Matthias Haffke

591 total citations
17 papers, 387 citations indexed

About

Matthias Haffke is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthias Haffke has authored 17 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matthias Haffke's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Receptor Mechanisms and Signaling (4 papers). Matthias Haffke is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Receptor Mechanisms and Signaling (4 papers). Matthias Haffke collaborates with scholars based in France, Switzerland and United Kingdom. Matthias Haffke's co-authors include Imre Berger, Kapil Gupta, Simon Trowitzsch, Cristina Viola, Làszlò Tora, Veli‐Pekka Jaakola, Elisabeth Scheer, Myriam Duckely, Maxime Chaillet and Amanda Littlewood‐Evans and has published in prestigious journals such as Nature, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Matthias Haffke

17 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Haffke France 13 307 50 46 39 36 17 387
Annapoorani Ramiah United States 10 336 1.1× 83 1.7× 46 1.0× 23 0.6× 23 0.6× 10 411
Ida Signe Bohse Larsen Denmark 11 345 1.1× 94 1.9× 21 0.5× 25 0.6× 20 0.6× 11 405
David Damerell United Kingdom 6 393 1.3× 39 0.8× 38 0.8× 47 1.2× 21 0.6× 7 461
Samiksha Katiyar United States 15 488 1.6× 100 2.0× 30 0.7× 41 1.1× 34 0.9× 28 639
T. Kotenyova Sweden 9 485 1.6× 68 1.4× 23 0.5× 38 1.0× 10 0.3× 9 616
Dmitri Tolkatchev United States 14 292 1.0× 33 0.7× 52 1.1× 16 0.4× 21 0.6× 27 479
Erik L. de Graaf Netherlands 15 573 1.9× 68 1.4× 58 1.3× 19 0.5× 12 0.3× 24 785
Patrick R. Cushing United States 10 346 1.1× 46 0.9× 17 0.4× 37 0.9× 10 0.3× 14 503
Vincent Frappier Canada 10 304 1.0× 14 0.3× 22 0.5× 39 1.0× 17 0.5× 12 376
Sally Esmail Canada 8 179 0.6× 51 1.0× 18 0.4× 15 0.4× 13 0.4× 12 257

Countries citing papers authored by Matthias Haffke

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Haffke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Haffke

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

All Works

17 of 17 papers shown
1.
Velcicky, Juraj, Rainer Wilcken, Simona Cotesta, et al.. (2020). Discovery and Optimization of Novel SUCNR1 Inhibitors: Design of Zwitterionic Derivatives with a Salt Bridge for the Improvement of Oral Exposure. Journal of Medicinal Chemistry. 63(17). 9856–9875. 24 indexed citations
2.
Haffke, Matthias, Myriam Duckely, Christian Bergsdorf, Veli‐Pekka Jaakola, & Binesh Shrestha. (2019). Development of a biochemical and biophysical suite for integral membrane protein targets: A review. Protein Expression and Purification. 167. 105545–105545. 8 indexed citations
3.
Strokappe, Nika M., M. Benjamin Hock, Lucy Rutten, et al.. (2019). Super Potent Bispecific Llama VHH Antibodies Neutralize HIV via a Combination of gp41 and gp120 Epitopes. Antibodies. 8(2). 38–38. 31 indexed citations
4.
Haffke, Matthias, Dominique Fehlmann, Gabriele Rummel, et al.. (2019). Structural basis of species-selective antagonist binding to the succinate receptor. Nature. 574(7779). 581–585. 61 indexed citations
5.
Antonova, Simona, Matthias Haffke, Eleonora Corradini, et al.. (2018). Chaperonin CCT checkpoint function in basal transcription factor TFIID assembly. Nature Structural & Molecular Biology. 25(12). 1119–1127. 37 indexed citations
6.
Nie, Yan, Maxime Chaillet, Matthias Haffke, et al.. (2016). ACEMBL Tool-Kits for High-Throughput Multigene Delivery and Expression in Prokaryotic and Eukaryotic Hosts. Advances in experimental medicine and biology. 896. 27–42. 15 indexed citations
7.
Gupta, Kapil, Duygu Sari, Matthias Haffke, Simon Trowitzsch, & Imre Berger. (2016). Zooming in on Transcription Preinitiation. Journal of Molecular Biology. 428(12). 2581–2591. 26 indexed citations
8.
Haffke, Matthias, et al.. (2016). nanoDSF: label-free thermal unfolding assay of G-protein-coupled receptors for compound screening and buffer composition optimization. 2 indexed citations
9.
Trowitzsch, Simon, Cristina Viola, Elisabeth Scheer, et al.. (2015). Cytoplasmic TAF2–TAF8–TAF10 complex provides evidence for nuclear holo–TFIID assembly from preformed submodules. Nature Communications. 6(1). 6011–6011. 70 indexed citations
10.
Haffke, Matthias, Martin Marek, Marie-Laure Diebold, et al.. (2014). Characterization and Production of Protein Complexes by Co-expression in Escherichia coli. Methods in molecular biology. 1261. 63–89. 13 indexed citations
11.
Kandiah, Eaazhisai, Simon Trowitzsch, Kapil Gupta, Matthias Haffke, & Imre Berger. (2014). More pieces to the puzzle: recent structural insights into class II transcription initiation. Current Opinion in Structural Biology. 24. 91–97. 16 indexed citations
12.
Berger, Imre, et al.. (2013). The MultiBac Protein Complex Production Platform at the EMBL. Journal of Visualized Experiments. 8 indexed citations
13.
Berger, Imre, et al.. (2013). The MultiBac Protein Complex Production Platform at the EMBL. Journal of Visualized Experiments. e50159–e50159. 25 indexed citations
14.
Haffke, Matthias, Cristina Viola, Yan Nie, & Imre Berger. (2013). Tandem Recombineering by SLIC Cloning and Cre-LoxP Fusion to Generate Multigene Expression Constructs for Protein Complex Research. Methods in molecular biology. 1073. 131–140. 19 indexed citations
15.
Quade, Nick, et al.. (2011). Structure of the effector-binding domain of the LysR-type transcription factor RovM fromYersinia pseudotuberculosis. Acta Crystallographica Section D Biological Crystallography. 67(2). 81–90. 15 indexed citations
16.
Haffke, Matthias, et al.. (2010). Structures of the nucleotide-binding domain of the human ABCB6 transporter and its complexes with nucleotides. Acta Crystallographica Section D Biological Crystallography. 66(9). 979–987. 12 indexed citations
17.
Carmona, E., P. Majumdar, A. Moralejo, et al.. (2007). Monte Carlo Simulation for the MAGIC-II System. Max Planck Institute for Plasma Physics. 3. 1373–1376. 5 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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