Fabio De Martino

450 total citations
12 papers, 305 citations indexed

About

Fabio De Martino is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fabio De Martino has authored 12 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Fabio De Martino's work include Estrogen and related hormone effects (3 papers), MicroRNA in disease regulation (3 papers) and Breast Cancer Treatment Studies (2 papers). Fabio De Martino is often cited by papers focused on Estrogen and related hormone effects (3 papers), MicroRNA in disease regulation (3 papers) and Breast Cancer Treatment Studies (2 papers). Fabio De Martino collaborates with scholars based in Switzerland, Italy and United Kingdom. Fabio De Martino's co-authors include Cathrin Brisken, George Sflomos, Giovanna Ambrosini, Maryse Fiche, Valentina Scabia, Laura Battista, Csaba László, Patrick Aouad, Assunta Adamo and Giuseppina Roscigno and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Fabio De Martino

12 papers receiving 304 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fabio De Martino Switzerland	8	136	104	94	65	51	12	305
Donatella Amendola Italy	10	147 1.1×	108 1.0×	59 0.6×	68 1.0×	35 0.7×	13	335
Gregory Miles United States	5	199 1.5×	117 1.1×	88 0.9×	37 0.6×	46 0.9×	5	345
Sunao Tanaka Japan	10	184 1.4×	107 1.0×	98 1.0×	20 0.3×	26 0.5×	26	328
Tsunehisa Nomura Japan	9	121 0.9×	80 0.8×	137 1.5×	55 0.8×	52 1.0×	33	292
Florencia Cayrol Argentina	11	173 1.3×	41 0.4×	192 2.0×	72 1.1×	57 1.1×	17	375
Chun‐Fui Lai United Kingdom	10	228 1.7×	110 1.1×	151 1.6×	24 0.4×	132 2.6×	13	421
Carolyn Slater United States	13	274 2.0×	122 1.2×	100 1.1×	18 0.3×	120 2.4×	19	403
Andrew Brandmaier United States	13	143 1.1×	62 0.6×	97 1.0×	44 0.7×	35 0.7×	24	378
Jean‐Marc Rey France	8	191 1.4×	99 1.0×	127 1.4×	34 0.5×	184 3.6×	12	401
Shunchao Yan China	9	158 1.2×	97 0.9×	151 1.6×	26 0.4×	119 2.3×	22	335

Countries citing papers authored by Fabio De Martino

Since Specialization

Citations

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

Fields of papers citing papers by Fabio De Martino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio De Martino. 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 Fabio De Martino. The network helps show where Fabio De Martino may publish in the future.

Co-authorship network of co-authors of Fabio De Martino

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio De Martino. A scholar is included among the top collaborators of Fabio De Martino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabio De Martino. Fabio De Martino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Scabia, Valentina, Ayyakkannu Ayyanan, Fabio De Martino, et al.. (2022). Estrogen receptor positive breast cancers have patient specific hormone sensitivities and rely on progesterone receptor. Nature Communications. 13(1). 3127–3127. 58 indexed citations

Aouad, Patrick, Fabio De Martino, Simak Ali, et al.. (2022). Epithelial-mesenchymal plasticity determines estrogen receptor positive breast cancer dormancy and epithelial reconversion drives recurrence. Nature Communications. 13(1). 4975–4975. 47 indexed citations

Martino, Fabio De, Valentina Scabia, Csaba László, et al.. (2021). Contraceptive progestins with androgenic properties stimulate breast epithelial cell proliferation. EMBO Molecular Medicine. 13(7). e14314–e14314. 22 indexed citations

Sflomos, George, Laura Battista, Patrick Aouad, et al.. (2021). Intraductal xenografts show lobular carcinoma cells rely on their own extracellular matrix and LOXL1. EMBO Molecular Medicine. 13(3). e13180–e13180. 30 indexed citations

Martino, Fabio De, Martin Weigert, Olivier Burri, et al.. (2021). Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features. Journal of Mammary Gland Biology and Neoplasia. 26(2). 101–112. 3 indexed citations

Marchetti, Francesco, et al.. (2020). Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–6. 1 indexed citations

László, Csaba, Jonathan Paz Montoya, Fabio De Martino, et al.. (2019). A high resolution LC–MS targeted method for the concomitant analysis of 11 contraceptive progestins and 4 steroids. Journal of Pharmaceutical and Biomedical Analysis. 175. 112756–112756. 19 indexed citations

Adamo, Assunta, Danilo Fiore, Fabio De Martino, et al.. (2017). RYK promotes the stemness of glioblastoma cells via the WNT/β-catenin pathway. Oncotarget. 8(8). 13476–13487. 39 indexed citations

Fiore, Danilo, Elvira Donnarumma, Giuseppina Roscigno, et al.. (2016). miR-340 predicts glioblastoma survival and modulates key cancer hallmarks through down-regulation of NRAS. Oncotarget. 7(15). 19531–19547. 34 indexed citations

10.

Palma, Giuseppe, Massimiliano D’Aiuto, Antonella Petrillo, et al.. (2015). TARGETING STAT3 IN CANCER INHIBITION. 1. 50–66. 3 indexed citations

11.

Fiore, Danilo, Cristina Quintavalle, Elvira Donnarumma, et al.. (2015). Abstract 3126: Survival in glioblastoma cancer patients is predicted by miR-340, that regulates key cancer hallmarks by inhibiting NRAS. Cancer Research. 75(15_Supplement). 3126–3126. 1 indexed citations

12.

Bogazzi, Fausto, Luigi Bartalena, Alberto Campomori, et al.. (2002). Treatment with Lithium Prevents Serum Thyroid Hormone Increase after Thionamide Withdrawal and Radioiodine Therapy in Patients with Graves’ Disease. The Journal of Clinical Endocrinology & Metabolism. 87(10). 4490–4495. 48 indexed citations

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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