Carsten Schultz‐Fademrecht

58 total papers · 2.4k total citations
38 papers, 1.2k citations indexed

About

Carsten Schultz‐Fademrecht is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Carsten Schultz‐Fademrecht has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Oncology and 13 papers in Organic Chemistry. Recurrent topics in Carsten Schultz‐Fademrecht's work include Peptidase Inhibition and Analysis (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Carsten Schultz‐Fademrecht is often cited by papers focused on Peptidase Inhibition and Analysis (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Carsten Schultz‐Fademrecht collaborates with scholars based in Germany, Italy and United Kingdom. Carsten Schultz‐Fademrecht's co-authors include Philip Jones, Michael Rowley, Herbert Waldmann, Sandip Murarka, Jesus M. Ontoria, Alfred Wittinghofer, Federica Ferrigno, Matthias Baumann, Rita Scarpelli and Pablo Martín‐Gago and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Carsten Schultz‐Fademrecht

37 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carsten Schultz‐Fademrecht 801 467 448 87 73 38 1.2k
Jae Du Ha 629 0.8× 555 1.2× 230 0.5× 94 1.1× 37 0.5× 53 1.2k
Gang Li 612 0.8× 498 1.1× 368 0.8× 38 0.4× 71 1.0× 63 1.3k
Xiaoling Cockcroft 857 1.1× 326 0.7× 714 1.6× 58 0.7× 52 0.7× 15 1.3k
James R. Henry 653 0.8× 730 1.6× 211 0.5× 56 0.6× 59 0.8× 31 1.4k
Gui‐Dong Zhu 694 0.9× 491 1.1× 560 1.3× 47 0.5× 46 0.6× 42 1.4k
Elena Casale 601 0.8× 255 0.5× 252 0.6× 70 0.8× 135 1.8× 28 961
Philipp Holzer 696 0.9× 483 1.0× 312 0.7× 41 0.5× 77 1.1× 27 1.2k
Michel Legraverend 595 0.7× 679 1.5× 172 0.4× 45 0.5× 43 0.6× 53 1.2k
Keith R. Hornberger 778 1.0× 400 0.9× 366 0.8× 48 0.6× 87 1.2× 18 1.2k
Aude Echalier 729 0.9× 246 0.5× 376 0.8× 155 1.8× 123 1.7× 29 1.3k

Countries citing papers authored by Carsten Schultz‐Fademrecht

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Schultz‐Fademrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carsten Schultz‐Fademrecht. 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 Carsten Schultz‐Fademrecht. The network helps show where Carsten Schultz‐Fademrecht may publish in the future.

Co-authorship network of co-authors of Carsten Schultz‐Fademrecht

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

All Works

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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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