Matthias R. Evers

764 total citations
10 papers, 585 citations indexed

About

Matthias R. Evers is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Matthias R. Evers has authored 10 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Organic Chemistry. Recurrent topics in Matthias R. Evers's work include Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Cell Adhesion Molecules Research (2 papers). Matthias R. Evers is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Cell Adhesion Molecules Research (2 papers). Matthias R. Evers collaborates with scholars based in United States, Germany and China. Matthias R. Evers's co-authors include Melitta Schachner, Jacques Baenziger, Guoqing Xia, Alexander Dityatev, Hyung‐Gyoo Kang, Melitta Schachner, Olena Bukalo, Astrid Rollenhagen, Michael R. Bösl and Benedikt Salmen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Reviews Drug Discovery.

In The Last Decade

Matthias R. Evers

8 papers receiving 571 citations

Peers

Matthias R. Evers

MB

CB

CMN

GENET

IA

Michael Degtyarev United States

Yuriko Tachida Japan

Reina N. Fuji United States

Sanjiv Shah United States

Janice Maloney United States

Perseus Jhabvala United States

Zhou Songyang United States

Orla J. Jupp United Kingdom

Clement Lee United States

Priscila F. Siesser United States

Michael Degtyarev United States

Matthias R. Evers

869 ×2.8

MB

206 ×0.9

CB

222 ×1.5

CMN

52 ×0.6

GENET

14 ×0.2

IA

Citations per year, relative to Matthias R. Evers Matthias R. Evers (= 1×) peers Michael Degtyarev

Countries citing papers authored by Matthias R. Evers

Since Specialization

Citations

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

Fields of papers citing papers by Matthias R. Evers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias R. Evers

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

All Works

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10 of 10 papers shown

1.

Evers, Matthias R., et al.. (2019). Unlocking the power of translational medicine. Nature Reviews Drug Discovery. 18(4). 248–249.

2.

Evers, Matthias R., et al.. (2019). A vision for Medical Affairs in 2025.

3.

Evers, Matthias R., et al.. (2014). The Role of Big Data and Advanced Analytics in Drug Discovery, Development, and Commercialization. Clinical Pharmacology & Therapeutics. 95(5). 492–495. 37 indexed citations

4.

Orloff, John J., Frank L. Douglas, José Cirı́aco Pinheiro, et al.. (2009). The future of drug development: advancing clinical trial design. Nature Reviews Drug Discovery. 8(12). 949–957. 110 indexed citations

5.

Strekalova, Tatyana, Mu Sun, Mirjam Sibbe, et al.. (2002). Fibronectin Domains of Extracellular Matrix Molecule Tenascin-C Modulate Hippocampal Learning and Synaptic Plasticity. Molecular and Cellular Neuroscience. 21(1). 173–187. 56 indexed citations

6.

Evers, Matthias R., et al.. (2002). Molecular Cloning and Characterization of Chondroitin-4-O-sulfotransferase-3. Journal of Biological Chemistry. 277(38). 34766–34772. 64 indexed citations

7.

Evers, Matthias R., Benedikt Salmen, Olena Bukalo, et al.. (2002). Impairment of L-type Ca²⁺Channel-Dependent Forms of Hippocampal Synaptic Plasticity in Mice Deficient in the Extracellular Matrix Glycoprotein Tenascin-C. Journal of Neuroscience. 22(16). 7177–7194. 146 indexed citations

8.

Evers, Matthias R., Guoqing Xia, Hyung‐Gyoo Kang, Melitta Schachner, & Jacques Baenziger. (2001). Molecular Cloning and Characterization of a Dermatan-specific N-Acetylgalactosamine 4-O-Sulfotransferase. Journal of Biological Chemistry. 276(39). 36344–36353. 90 indexed citations

9.

Evers, Matthias R., et al.. (2001). Molecular Cloning and Expression of anN-Acetylgalactosamine-4-O-sulfotransferase That Transfers Sulfate to Terminal and Non-terminal β1,4-LinkedN-Acetylgalactosamine. Journal of Biological Chemistry. 276(14). 10861–10869. 33 indexed citations

10.

Xia, Guoqing, et al.. (2000). Molecular Cloning and Expression of the Pituitary Glycoprotein HormoneN-Acetylgalactosamine-4-O-sulfotransferase. Journal of Biological Chemistry. 275(49). 38402–38409. 49 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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