Frauke Goeman

1.7k citations
59 papers · 1.4k · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related Molecular Pathways

Papers in

    • Cancer-related Molecular Pathways 5
    • Cancer Immunotherapy and Biomarkers 5
    • Cancer-related molecular mechanisms research 4

Frauke Goeman

57 papers receiving 1.3k citations

Peers

Frauke Goeman
Comparison fields: 5 of 83
  • Cancer Research 291
  • Oncology 413
  • Molecular Biology 669
  • Immunology 167
  • Pulmonary and Respiratory Medicine 226
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Nathan Ungerleider United States
Sandra Pinton Switzerland
Weina Yu China
Xuyong Lin China
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Wataru Sakamoto Japan
Aytekin Akyol Türkiye
Aibin Liu China
Eduardo J. Caleiras Spain
Yucen Song China
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Citations per field
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Citations per year

Countries citing papers authored by Frauke Goeman

Since Specialization
Citations

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

Fields of papers citing papers by Frauke Goeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frauke Goeman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frauke Goeman Line = papers co-authored together Frauke Goeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020185
2 201975
3 201768
4 201557
5 201651
6 202048
7 200444
8 201543
9 202242
10 202139
11 201939
12 201736
13 201233
14 201432
15 201132
16 201531
17 201728
18 202327
19 202227
20 202225

About Frauke Goeman

Frauke Goeman is a scholar working on Oncology, Cancer Research, Molecular Biology, Hematology and Pathology and Forensic Medicine, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (6 papers), Cancer-related Molecular Pathways (5 papers), RNA Research and Splicing (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Epigenetics and DNA Methylation (5 papers), Circular RNAs in diseases (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (291 citations), Oncology (413 citations), Molecular Biology (669 citations), Immunology (167 citations) and Pulmonary and Respiratory Medicine (226 citations). Frauke Goeman has collaborated with scholars based in Italy, Malaysia and Germany. Frequent co-authors include Giovanni Blandino, Sabrina Strano, Maurizio Fanciulli, Matteo Pallocca, Paola C. Muti, Claudio Pulito, Andrea Sacconi, Francesca De Nicola, Federica Mori and Maria A. Ferraiuolo. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Cell Death and Disease, Oncotarget, Journal of Translational Medicine and Journal of Thoracic Oncology.

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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