Wiebke Werft

30 total papers · 1.4k total citations
17 papers, 577 citations indexed

About

Wiebke Werft is a scholar working on Molecular Biology, Oncology and Statistics and Probability. According to data from OpenAlex, Wiebke Werft has authored 17 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Statistics and Probability. Recurrent topics in Wiebke Werft's work include Pancreatic and Hepatic Oncology Research (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Statistical Methods and Inference (2 papers). Wiebke Werft is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Statistical Methods and Inference (2 papers). Wiebke Werft collaborates with scholars based in Germany, United Kingdom and United States. Wiebke Werft's co-authors include Axel Benner, Peter Lichter, Grischa Toedt, Natália Becker, Stefan M. Pfister, Andrea Wittmann, Andreas E. Kulozik, Marc Remke, Andrey Korshunov and Stefan Rutkowski and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Bioinformatics.

In The Last Decade

Wiebke Werft

17 papers receiving 568 citations

Author Peers

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

Author						Papers	Cites
Wiebke Werft	295	136	129	123	79	17	577
Chimene Kesserwan	239 0.8×	118 0.9×	91 0.7×	178 1.4×	82 1.0×	24	657
Shivakumar Subramaniyam	348 1.2×	143 1.1×	74 0.6×	177 1.4×	147 1.9×	21	622
Hilary Ma	293 1.0×	123 0.9×	184 1.4×	181 1.5×	28 0.4×	19	524
Jettie J.F. Muris	277 0.9×	111 0.8×	75 0.6×	289 2.3×	195 2.5×	16	656
A.M. Vénuat	263 0.9×	56 0.4×	93 0.7×	149 1.2×	106 1.3×	20	526
Maurizia Giai	281 1.0×	70 0.5×	103 0.8×	136 1.1×	59 0.7×	13	574
Cordelia E. Sever	199 0.7×	79 0.6×	66 0.5×	184 1.5×	84 1.1×	17	569
Tatsuo Abe	340 1.2×	54 0.4×	72 0.6×	119 1.0×	89 1.1×	26	661
Parham Ramezani-Rad	261 0.9×	86 0.6×	97 0.8×	104 0.8×	57 0.7×	19	612
Sandra D. Bohling	210 0.7×	63 0.5×	89 0.7×	211 1.7×	207 2.6×	21	586

Countries citing papers authored by Wiebke Werft

Since Specialization

Citations

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

Fields of papers citing papers by Wiebke Werft

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wiebke Werft

This figure shows the co-authorship network connecting the top 25 collaborators of Wiebke Werft. A scholar is included among the top collaborators of Wiebke Werft 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 Wiebke Werft. Wiebke Werft 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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