Julia Frede

797 citations
22 papers · 591 · h-index 10

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Multiple Myeloma Research and Treatments 8
    • CAR-T cell therapy research 4
    • Cancer Cells and Metastasis 3

Julia Frede

19 papers receiving 584 citations

Peers

Julia Frede
Comparison fields: 5 of 48
  • Hematology 130
  • Oncology 159
  • Aging 9
  • Cancer Research 69
  • Immunology 62
Replace Koutarou Nishimura with:
Koutarou Nishimura Japan
Ryosuke Shirasaki Japan
Kyomi J. Igarashi United States
Isabel Romero-Camarero Spain
Vera C. Martins Germany
Miriam Belmonte United Kingdom
Chiara Dell’Agnola Italy
Robin Ferrari France
Olubunmi Afonja United States
Sonia Nestorowa United Kingdom
Julia Frede relative to Koutarou Nishimura Japan Koutarou Nishimura's profile →
Citations per field
00.5×2×3×4×4.5×
Koutarou Nishimura · 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

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 202388
3 202066
4 201357
5 201657
6 201849
7 202137
8 202226
9 202125
10 201413
11 20229
12 20147
13 20256
14 20255
15 20222
16 20242
17 20191
18 20221
19 20261
20 20250

About Julia Frede

Julia Frede is a scholar working on Hematology, Oncology, Cancer Research, Public Health, Environmental and Occupational Health and Genetics, having authored 22 papers that have together received 591 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), CAR-T cell therapy research (4 papers), Cancer Cells and Metastasis (3 papers), Cancer Genomics and Diagnostics (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Esophageal Cancer Research and Treatment (2 papers), Redox biology and oxidative stress (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Hematology (130 citations), Oncology (159 citations), Aging (9 citations), Cancer Research (69 citations) and Immunology (62 citations). Julia Frede has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Philip H. Jones, Benjamin D. Simons, Philip Greulich, Maria Pilar Alcolea, Agnieszka Wabik, Tibor Nagy, Jalid Sehouli, Elena Ioana Braicu, Hani Gabra and Gülten Oskay-Özcelik. Their work appears in journals such as Blood, Nature Cell Biology, Leukemia, Nature Communications and The Journal of Pathology.

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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