Maicol Mancini

915 citations
22 papers · 723 · h-index 13

Impact in

Papers in

    • HER2/EGFR in Cancer Research 4
    • Lung Cancer Research Studies 3
    • PI3K/AKT/mTOR signaling in cancer 4
    • RNA modifications and cancer 2

Maicol Mancini

20 papers receiving 712 citations

Peers

Maicol Mancini
Comparison fields: 5 of 77
  • Oncology 250
  • Cancer Research 97
  • Molecular Biology 412
  • Pulmonary and Respiratory Medicine 171
  • Radiology, Nuclear Medicine and Imaging 98
Replace Michael Monrad Grandal with:
Michael Monrad Grandal United States
Christopher Montemagno France
Véronique Garambois France
Shenghua Wen United States
Vidyalakshmi Sethunath United States
Jianhua Chen China
Deepti B. Ramnarain United States
Nadège Gaborit France
Jarrod R. Tremayne United States
Komal Mandleywala United States
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Citations per field
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Citations per year

Countries citing papers authored by Maicol Mancini

Since Specialization
Citations

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

Fields of papers citing papers by Maicol Mancini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013147
2 201577
3 201554
4 201850
5 201748
6 201846
7 201943
8 201542
9 201339
10 201538
11 202037
12 201533
13 201530
14 202111
15 20218
16 20205
17 20225
18 20204
19 20234
20 20252

About Maicol Mancini

Maicol Mancini is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Sensory Systems and Cell Biology, having authored 22 papers that have together received 723 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), HER2/EGFR in Cancer Research (4 papers), Lung Cancer Research Studies (3 papers), Advanced Chemical Sensor Technologies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Microtubule and mitosis dynamics (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Oncology (250 citations), Cancer Research (97 citations), Molecular Biology (412 citations), Pulmonary and Respiratory Medicine (171 citations) and Radiology, Nuclear Medicine and Imaging (98 citations). Maicol Mancini has collaborated with scholars based in France, Israel and United Kingdom. Frequent co-authors include Yosef Yarden, Michael Sela, Ruth Maron, Bilha Schechter, Yosef Yarden, Moshit Lindzen, Nadège Gaborit, Sara Lavi, Stefan Wiemann and Ashish Noronha. Their work appears in journals such as Science Signaling, EMBO Molecular Medicine, Proceedings of the National Academy of Sciences, Cancers and Biology Open.

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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