Ulrike E. Knies

9 total papers · 1.3k total citations
9 papers, 1.1k citations indexed

About

Ulrike E. Knies is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ulrike E. Knies has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Ulrike E. Knies's work include Cell Adhesion Molecules Research (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Ubiquitin and proteasome pathways (2 papers). Ulrike E. Knies is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Ubiquitin and proteasome pathways (2 papers). Ulrike E. Knies collaborates with scholars based in Germany, United Kingdom and France. Ulrike E. Knies's co-authors include Matthias Clauss, Werner Risau, Georg Breier, Wolfgang Röckl, Herbert A. Weich, Johannes Waltenberger, Christopher A. Mitchell, Urban Deutsch, Hannes C. A. Drexler and Marc Van de Craen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ulrike E. Knies

9 papers receiving 1.1k citations

Hit Papers

The Vascular Endothelial ... 1996 2026 2006 2016 1996 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Ulrike E. Knies 787 276 217 211 133 9 1.1k
Rafael Tejada 675 0.9× 270 1.0× 265 1.2× 326 1.5× 94 0.7× 5 1.4k
Wolfgang Röckl 718 0.9× 121 0.4× 172 0.8× 206 1.0× 89 0.7× 10 1.0k
Yoshiko Sakurai 796 1.0× 339 1.2× 248 1.1× 381 1.8× 83 0.6× 7 1.2k
Shinobu Iwai 744 0.9× 277 1.0× 356 1.6× 506 2.4× 104 0.8× 6 1.3k
Chad L. Barber 878 1.1× 244 0.9× 274 1.3× 204 1.0× 50 0.4× 11 1.4k
Dorit Nahari 753 1.0× 194 0.7× 296 1.4× 312 1.5× 48 0.4× 9 1.4k
Frances Cousins 914 1.2× 185 0.7× 144 0.7× 171 0.8× 100 0.8× 14 1.4k
D. Feng 819 1.0× 117 0.4× 345 1.6× 277 1.3× 100 0.8× 10 1.3k
D.S. Dimitrov 1.1k 1.4× 120 0.4× 371 1.7× 293 1.4× 122 0.9× 5 1.4k
Sean A. McCarthy 992 1.3× 111 0.4× 152 0.7× 250 1.2× 86 0.6× 12 1.2k

Countries citing papers authored by Ulrike E. Knies

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike E. Knies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulrike E. Knies. 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 Ulrike E. Knies. The network helps show where Ulrike E. Knies may publish in the future.

Co-authorship network of co-authors of Ulrike E. Knies

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike E. Knies. A scholar is included among the top collaborators of Ulrike E. Knies 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 Ulrike E. Knies. Ulrike E. Knies 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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