Franco Patrone

4.0k citations
143 papers · 2.9k · h-index 29

Impact in

Papers in

    • S100 Proteins and Annexins 15
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 34
    • Immune Response and Inflammation 13

Franco Patrone

134 papers receiving 2.8k citations

Peers

Franco Patrone
Comparison fields: 5 of 116
  • Geriatrics and Gerontology 282
  • Hematology 551
  • Physiology 183
  • Immunology 643
  • Oncology 750
Replace Ulrich Mahlknecht with:
Ulrich Mahlknecht Germany
Frédéric Luciano France
Mario P. Tschan Switzerland
Kai Sun China
Farhat L. Khanim United Kingdom
Ting Zhao China
Kasper M.A. Rouschop Netherlands
Yanping Xu China
Shiyong Li United States
Priscilla N. Kelly Australia
Franco Patrone relative to Ulrich Mahlknecht Germany Ulrich Mahlknecht's profile →
Citations per field
00.5×1.5×2.1×
Ulrich Mahlknecht · 1×
Citations per year

Countries citing papers authored by Franco Patrone

Since Specialization
Citations

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

Fields of papers citing papers by Franco Patrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004240
2 2006184
3 2012146
4 2009134
5 2007130
6 2012120
7 2004103
8 200775
9 201369
10
High efficacy of fludarabine-containing therapy (FLAG-FLANG) in poor risk acute myeloid leukemia.
199767
11 200660
12 199158
13 201352
14 200546
15 198443
16 201041
17 200541
18 198037
19 201235
20 198434

About Franco Patrone

Franco Patrone is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Genetics, having authored 143 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (34 papers), S100 Proteins and Annexins (15 papers), Immune Response and Inflammation (13 papers), Chronic Lymphocytic Leukemia Research (13 papers), Chronic Myeloid Leukemia Treatments (12 papers), Acute Myeloid Leukemia Research (12 papers), Blood disorders and treatments (11 papers) and Cell Adhesion Molecules Research (9 papers). The work is most often cited by research in Geriatrics and Gerontology (282 citations), Hematology (551 citations), Physiology (183 citations), Immunology (643 citations) and Oncology (750 citations). Franco Patrone has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alberto Ballestrero, Alessio Nencioni, Franco Dallegri, Peter Brossart, Frank Grünebach, Michele Cea, Guido Frumento, Anna Garuti, C. Sacchetti and Marco Gobbi. Their work appears in journals such as Current Cancer Drug Targets, Blood, Annals of Hematology, Leukemia Research and Journal of Clinical 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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