Martin Frank

5.6k total citations
95 papers, 2.6k citations indexed

About

Martin Frank is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Martin Frank has authored 95 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 23 papers in Organic Chemistry and 18 papers in Immunology. Recurrent topics in Martin Frank's work include Glycosylation and Glycoproteins Research (44 papers), Carbohydrate Chemistry and Synthesis (23 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Martin Frank is often cited by papers focused on Glycosylation and Glycoproteins Research (44 papers), Carbohydrate Chemistry and Synthesis (23 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Martin Frank collaborates with scholars based in Germany, United States and Netherlands. Martin Frank's co-authors include Thomas Lütteke, Claus‐W. von der Lieth, C.-W. von der Lieth, Andreas Bohne-Lang, Claus‐Wilhelm von der Lieth, Hans‐Joachim Gabius, Siegfried Schloissnig, Stephan Herget, René Ranzinger and Thomas Goetz and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Martin Frank

93 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Frank Germany 30 1.7k 632 579 345 294 95 2.6k
Christoph Rademacher Germany 29 1.7k 1.0× 750 1.2× 726 1.3× 301 0.9× 246 0.8× 88 2.5k
Weston B. Struwe United Kingdom 40 3.2k 1.9× 752 1.2× 534 0.9× 655 1.9× 289 1.0× 110 4.3k
H. Feinberg United States 23 1.5k 0.9× 502 0.8× 1.3k 2.2× 351 1.0× 272 0.9× 38 2.6k
Traian Sulea Canada 29 1.8k 1.1× 329 0.5× 282 0.5× 388 1.1× 343 1.2× 113 2.9k
Kenneth Ng Canada 32 1.6k 0.9× 322 0.5× 499 0.9× 249 0.7× 959 3.3× 101 3.3k
Michael S. Kay United States 24 1.5k 0.9× 346 0.5× 233 0.4× 312 0.9× 610 2.1× 49 2.4k
Nir London Israel 31 3.0k 1.8× 534 0.8× 317 0.5× 480 1.4× 186 0.6× 65 3.8k
C.-W. von der Lieth Germany 23 1.6k 0.9× 571 0.9× 235 0.4× 244 0.7× 134 0.5× 41 2.2k
Paul A. Ramsland Australia 36 2.3k 1.4× 408 0.6× 1.2k 2.0× 1.1k 3.3× 389 1.3× 146 4.3k
Pavlína Řezáčová Czechia 28 1.3k 0.7× 534 0.8× 189 0.3× 705 2.0× 524 1.8× 122 2.8k

Countries citing papers authored by Martin Frank

Since Specialization
Citations

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

Fields of papers citing papers by Martin Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Frank

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

All Works

20 of 20 papers shown
1.
Pronker, Matti F., Ieva Drulyte, Ruben J. G. Hulswit, et al.. (2023). Sialoglycan binding triggers spike opening in a human coronavirus. Nature. 624(7990). 201–206. 37 indexed citations
2.
Schie, Loes van, Wander Van Breedam, Bert Schepens, et al.. (2023). GlycoVHH: optimal sites for introducing N-glycans on the camelid VHH antibody scaffold and use for macrophage delivery. mAbs. 15(1). 2210709–2210709. 6 indexed citations
3.
Hsu, Yen‐Pang, et al.. (2022). Structural remodeling of SARS-CoV-2 spike protein glycans reveals the regulatory roles in receptor-binding affinity. Glycobiology. 33(2). 126–137. 11 indexed citations
4.
Comi, Troy J., Andrea Verhagen, Aniruddha Sasmal, et al.. (2022). Evolution of Human-Specific Alleles Protecting Cognitive Function of Grandmothers. Molecular Biology and Evolution. 39(8). 5 indexed citations
5.
Maaß, Thorben, George Ssebyatika, Thomas Krey, et al.. (2022). Binding of Glycans to the SARS CoV‐2 Spike Protein, an Open Question: NMR Data on Binding Site Localization, Affinity, and Selectivity. Chemistry - A European Journal. 28(71). e202202614–e202202614. 7 indexed citations
6.
Toelzer, Christine, Kapil Gupta, Sathish K.N. Yadav, et al.. (2022). The free fatty acid–binding pocket is a conserved hallmark in pathogenic β-coronavirus spike proteins from SARS-CoV to Omicron. Science Advances. 8(47). eadc9179–eadc9179. 28 indexed citations
7.
Frank, Martin, et al.. (2022). Targeting Human CD22/Siglec-2 with Dimeric Sialosides as Novel Oligosaccharide Mimetics. Journal of Medicinal Chemistry. 65(15). 10588–10610. 5 indexed citations
8.
Bagdonaite, Ieva, Andrew J. Thompson, Xiaoning Wang, et al.. (2021). Site-Specific O-Glycosylation Analysis of SARS-CoV-2 Spike Protein Produced in Insect and Human Cells. Viruses. 13(4). 551–551. 60 indexed citations
9.
Sandoval, Daniel R., Alejandro Gómez Toledo, Chelsea D. Painter, et al.. (2020). Proteomics-based screening of the endothelial heparan sulfate interactome reveals that C-type lectin 14a (CLEC14A) is a heparin-binding protein. Journal of Biological Chemistry. 295(9). 2804–2821. 28 indexed citations
10.
Eichhorn, Tolga, Martin Frank, R. Luise Krauth‐Siegel, et al.. (2013). Identification by high-throughput in silico screening of radio-protecting compounds targeting the DNA-binding domain of the tumor suppressor p53.. PubMed. 10(1). 35–45. 7 indexed citations
11.
Essig, Katharina, et al.. (2012). Evaluation of Riproximin Binding Properties Reveals a Novel Mechanism for Cellular Targeting. Journal of Biological Chemistry. 287(43). 35873–35886. 16 indexed citations
12.
Nasir, Waqas, et al.. (2012). Lewis histo-blood group α1,3/α1,4 fucose residues may both mediate binding to GII.4 noroviruses. Glycobiology. 22(9). 1163–1172. 15 indexed citations
13.
Schulz, Eike C., David Schwarzer, Martin Frank, et al.. (2010). Structural Basis for the Recognition and Cleavage of Polysialic Acid by the Bacteriophage K1F Tailspike Protein EndoNF. Journal of Molecular Biology. 397(1). 341–351. 37 indexed citations
14.
Ranzinger, René, Martin Frank, Claus‐Wilhelm von der Lieth, & Stephan Herget. (2009). Glycome-DB.org: A portal for querying across the digital world of carbohydrate sequences. Glycobiology. 19(12). 1563–1567. 36 indexed citations
15.
Lieth, Claus‐Wilhelm von der, Thomas Lütteke, & Martin Frank. (2009). Bioinformatics for glycobiology and glycomics : an introduction. Wiley-Blackwell eBooks. 15 indexed citations
16.
Haselhorst, Thomas, Helen Blanchard, Martin Frank, et al.. (2006). STD NMR spectroscopy and molecular modeling investigation of the binding of N-acetylneuraminic acid derivatives to rhesus rotavirus VP8* core. Glycobiology. 17(1). 68–81. 49 indexed citations
17.
18.
Götz, Thomas, et al.. (2004). Glycosciences.de: An Internet portal for glyco-related data from open access resources. 115–119. 2 indexed citations
19.
Frank, Martin, et al.. (2003). Dynamic molecules: molecular dynamics for everyone. An internet-based access to molecular dynamic simulations: basic concepts. Journal of Molecular Modeling. 9(5). 308–315. 17 indexed citations
20.
Lieth, C.-W. von der, Hans-Christian Siebert, Tibor Kožár, et al.. (1998). Lectin Ligands: New Insights into Their Conformations and Their Dynamic Behavior and the Discovery of Conformer Selection by Lectins. Cells Tissues Organs. 161(1-4). 91–109. 73 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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