F Farace

686 citations
7 papers · 563 · h-index 7

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Lung Cancer Research Studies 1
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 1
    • Immune Response and Inflammation 1

F Farace

7 papers receiving 554 citations

Peers

F Farace
Comparison fields: 5 of 51
  • Cancer Research 257
  • Oncology 437
  • Immunology 112
  • Pulmonary and Respiratory Medicine 156
  • Biotechnology 25
Replace Gayatri Premasekharan with:
Gayatri Premasekharan United States
Jake Lichterman United States
Martha Zavridou Greece
Christian Vay Germany
Daisy Dandan Wang United States
José L. García-Puche Spain
Dorota Kwapisz Poland
Anne Renolen Norway
Bianca Behrens Germany
Zahra Asgari United States
F Farace relative to Gayatri Premasekharan United States Gayatri Premasekharan's profile →
Citations per field
00.5×1.5×2.0×
Gayatri Premasekharan · 1×
Citations per year

Countries citing papers authored by F Farace

Since Specialization
Citations

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

Fields of papers citing papers by F Farace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2011325
2 201596
3
Immunotherapy with lymphokine-activated natural killer cells and recombinant interleukin-2: a feasibility trial in metastatic renal cell carcinoma.
199046
4 199444
5 199321
6 199016
7 199915

About F Farace

F Farace is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Epidemiology and Cancer Research, having authored 7 papers that have together received 563 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers), Fungal Infections and Studies (2 papers), Lung Cancer Research Studies (1 paper), Immunotherapy and Immune Responses (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Cancer Research (257 citations), Oncology (437 citations), Immunology (112 citations), Pulmonary and Respiratory Medicine (156 citations) and Biotechnology (25 citations). F Farace has collaborated with scholars based in France. Frequent co-authors include Philippe Vielh, David Planchard, Jean‐Charles Soria, Karim Fizazi, Fabrice André, A. Laplanche, Anne Chauchereau, Sylvestre Le Moulec, Françoise Drusch and Nathalie Jacques. Their work appears in journals such as European Journal of Cancer, Clinical & Experimental Immunology, British Journal of Cancer, Annals of Oncology and Journal of Immunotherapy.

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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