Julia Frede

766 citations
11 papers · 283 · h-index 6

Impact in

Papers in

    • Cancer Cells and Metastasis 3
    • CAR-T cell therapy research 3
    • Protein Degradation and Inhibitors 2
    • Cancer-related gene regulation 2
    • Epigenetics and DNA Methylation 2

Julia Frede

10 papers receiving 280 citations

Peers

Julia Frede
Comparison fields: 5 of 61
  • Cancer Research 63
  • Oncology 100
  • Molecular Biology 200
  • Aging 5
  • Modeling and Simulation 13
Replace Elaine Yiqun Cao with:
Elaine Yiqun Cao Singapore
Keyur Desai United States
Julian R. de Ruiter Netherlands
Audrey Lamora France
Philippe Rameau France
Daniel S. J. Miller United Kingdom
Julia Wolf United Kingdom
Shivee Gilja United States
Ryann E. Shor United States
Allison R. Pine United States
Julia Frede relative to Elaine Yiqun Cao Singapore Elaine Yiqun Cao's profile →
Citations per field
00.5×1.5×2.5×
Elaine Yiqun Cao · 1×
Citations per year

Countries citing papers authored by Julia Frede

Since Specialization
Citations

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

Fields of papers citing papers by Julia Frede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Frede, 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 Julia Frede Line = papers co-authored together Julia Frede links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014124
2 201356
3 201652
4 202126
5 201413
6 20146
7 20253
8 20221
9 20191
10 20221
11 20250

About Julia Frede

Julia Frede is a scholar working on Oncology, Molecular Biology, Cancer Research, Hematology and Pathology and Forensic Medicine, having authored 11 papers that have together received 283 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (3 papers), CAR-T cell therapy research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Protein Degradation and Inhibitors (2 papers), Genetic factors in colorectal cancer (2 papers), Cancer-related gene regulation (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (63 citations), Oncology (100 citations), Molecular Biology (200 citations), Aging (5 citations) and Modeling and Simulation (13 citations). Julia Frede has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Philip H. Jones, Benjamin D. Simons, Philip Greulich, Agnieszka Wabik, Maria P. Alcolea, Tibor Nagy, Jalid Sehouli, Scott P. Fraser, Elena Ioana Braicu and Gülten Oskay-Özcelik. Their work appears in journals such as Nature Cell Biology, Blood, Oral Oncology, European Journal of Cancer and Annals of the New York Academy of Sciences.

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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