Flavia Jacobs

631 citations
40 papers · 311 · h-index 11

Impact in

    • Breast Cancer Treatment Studies
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers

Papers in

Flavia Jacobs

34 papers receiving 307 citations

Peers

Flavia Jacobs
Comparison fields: 5 of 59
  • Cancer Research 134
  • Oncology 169
  • Health Informatics 5
  • Pulmonary and Respiratory Medicine 104
  • Pathology and Forensic Medicine 44
Replace Valentina Magri with:
Valentina Magri Italy
Jingming Ye China
Arielle J. Medford United States
Lounes Djerroudi France
Jurui Luo China
Maria Cristina Figueroa Magalhães Brazil
Lars Buschhorn Germany
Marcin Nicoś Poland
Melanie Hullings United States
A. Stopeck United States
Flavia Jacobs relative to Valentina Magri Italy Valentina Magri's profile →
Citations per field
00.5×2.8×
Valentina Magri · 1×
Citations per year

Countries citing papers authored by Flavia Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Flavia Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

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About Flavia Jacobs

Flavia Jacobs is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 40 papers that have together received 311 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (16 papers), Breast Cancer Treatment Studies (13 papers), Cancer Treatment and Pharmacology (10 papers), HER2/EGFR in Cancer Research (9 papers), Cancer-related Molecular Pathways (6 papers), AI in cancer detection (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Cancer Research (134 citations), Oncology (169 citations), Health Informatics (5 citations), Pulmonary and Respiratory Medicine (104 citations) and Pathology and Forensic Medicine (44 citations). Flavia Jacobs has collaborated with scholars based in Italy, Belgium and Spain. Frequent co-authors include Rita De Sanctis, Armando Santoro, Alberto Zambelli, C. Benvenuti, Elisa Agostinetto, Damiano Gentile, Simone Di Maria Grimaldi, Andrea Sagona, E. Barbieri and Corrado Tinterri. Their work appears in journals such as Cancers, Critical Reviews in Oncology/Hematology, ESMO Open, The Oncologist and European Journal of Cancer.

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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