F Farace

690 citations
7 papers · 589 · h-index 7

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Viral-associated cancers and disorders 1
    • Cancer Cells and Metastasis 1
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 1

F Farace

7 papers receiving 574 citations

Peers

F Farace
Comparison fields: 5 of 51
  • Oncology 423
  • Cancer Research 230
  • Immunology 116
  • Pulmonary and Respiratory Medicine 124
  • Biotechnology 24
Replace Daisy Dandan Wang with:
Daisy Dandan Wang United States
Б. А. Бердов Russia
Christian Vay Germany
Martha Zavridou Greece
Meleah Cameron United States
Natalia Krawczyk Germany
Conall Hayes Ireland
Zahra Asgari United States
Dorota Kwapisz Poland
María Jesús García-Granda Spain
F Farace relative to Daisy Dandan Wang United States Daisy Dandan Wang's profile →
Citations per field
00.5×3.4×
Daisy Dandan Wang · 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 2011337
2 201599
3
Immunotherapy with lymphokine-activated natural killer cells and recombinant interleukin-2: a feasibility trial in metastatic renal cell carcinoma.
199051
4 199445
5 199322
6 199918
7 199017

About F Farace

F Farace is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Epidemiology and Surgery, having authored 7 papers that have together received 589 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Fungal Infections and Studies (2 papers), Viral-associated cancers and disorders (1 paper), Cancer Cells and Metastasis (1 paper), Central Venous Catheters and Hemodialysis (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Oncology (423 citations), Cancer Research (230 citations), Immunology (116 citations), Pulmonary and Respiratory Medicine (124 citations) and Biotechnology (24 citations). F Farace has collaborated with scholars based in France. Frequent co-authors include David Planchard, Philippe Vielh, Jean‐Charles Soria, Karim Fizazi, Nadège Vimond, Fanny Billiot, Françoise Drusch, Ludovic Lacroix, Sylvestre Le Moulec and Anne Chauchereau. Their work appears in journals such as European Journal of Cancer, Clinical & Experimental Immunology, British Journal of Cancer, Journal of Immunotherapy and Annals of 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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