Renate Schwab

30 total papers · 463 total citations
16 papers, 358 citations indexed

About

Renate Schwab is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Renate Schwab has authored 16 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Renate Schwab's work include Extracellular vesicles in disease (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Renate Schwab is often cited by papers focused on Extracellular vesicles in disease (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Renate Schwab collaborates with scholars based in Australia, Germany and United Kingdom. Renate Schwab's co-authors include Elizabeth Vincan, Toby J. Phesse, Dustin J. Flanagan, Christian Peschel, L. Earnest-Silveira, Dale Christiansen, Joseph Torresi, Nancy Amin, Walter E. Aulitzky and Christoph Huber and has published in prestigious journals such as British Journal of Haematology, PROTEOMICS and Clinical Science.

In The Last Decade

Renate Schwab

15 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Renate Schwab	193	79	77	62	49	16	358
Irit Cohen	115 0.6×	67 0.8×	115 1.5×	61 1.0×	34 0.7×	15	331
Giuseppe Monaco	206 1.1×	48 0.6×	83 1.1×	35 0.6×	49 1.0×	22	397
Keizo Kato	212 1.1×	51 0.6×	53 0.7×	35 0.6×	16 0.3×	13	402
Juan Li	135 0.7×	84 1.1×	133 1.7×	80 1.3×	54 1.1×	19	363
Jinjun Cheng	169 0.9×	60 0.8×	154 2.0×	51 0.8×	19 0.4×	23	375
Margit Stimpfl	193 1.0×	105 1.3×	90 1.2×	29 0.5×	37 0.8×	16	371
Azam Roohi	167 0.9×	66 0.8×	26 0.3×	57 0.9×	33 0.7×	23	353
Victor Ng	158 0.8×	82 1.0×	72 0.9×	38 0.6×	23 0.5×	17	392
Nassima Benzoubir	153 0.8×	56 0.7×	27 0.4×	35 0.6×	19 0.4×	16	349
Patrizia Scaravaglio	156 0.8×	55 0.7×	198 2.6×	86 1.4×	52 1.1×	18	344

Countries citing papers authored by Renate Schwab

Since Specialization

Citations

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

Fields of papers citing papers by Renate Schwab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renate Schwab

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