Concetta Ingenito

456 citations
12 papers · 259 · h-index 5

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • COVID-19 and healthcare impacts

Papers in

    • COVID-19 and healthcare impacts 4
    • Cancer Immunotherapy and Biomarkers 2
    • Cutaneous Melanoma Detection and Management 1
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 and COVID-19 Research 2

Concetta Ingenito

9 papers receiving 258 citations

Peers

Concetta Ingenito
Comparison fields: 5 of 57
  • Cancer Research 57
  • Oncology 75
  • Hematology 28
  • Molecular Biology 163
  • Infectious Diseases 37
Replace Vito Michele Garrisi with:
Vito Michele Garrisi Italy
Justine Decroocq France
Victoria Ling Australia
Kota Yoshifuji Japan
Audrey Turchick United States
Guifang Ouyang China
Haicheng Tang China
Muriel Duluc France
Marsha Jones United States
Kate Owen United Kingdom
Concetta Ingenito relative to Vito Michele Garrisi Italy Vito Michele Garrisi's profile →
Citations per field
00.5×2.7×
Vito Michele Garrisi · 1×
Citations per year

Countries citing papers authored by Concetta Ingenito

Since Specialization
Citations

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

Fields of papers citing papers by Concetta Ingenito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016116
2 201762
3 202038
4 202029
5 20226
6 20203
7 20232
8 20202
9 20231
10 20240
11 20210
12 20230

About Concetta Ingenito

Concetta Ingenito is a scholar working on Oncology, Infectious Diseases, Surgery, Molecular Biology and Hematology, having authored 12 papers that have together received 259 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (4 papers), COVID-19 Clinical Research Studies (4 papers), Histone Deacetylase Inhibitors Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Acute Myeloid Leukemia Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Protein Degradation and Inhibitors (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Cancer Research (57 citations), Oncology (75 citations), Hematology (28 citations), Molecular Biology (163 citations) and Infectious Diseases (37 citations). Concetta Ingenito has collaborated with scholars based in Italy, France and Netherlands. Frequent co-authors include Joost H.A. Martens, Saverio Minucci, Gabriella Lania, Hendrik G. Stunnenberg, Isabella Pallavicini, Valeria Belsito Petrizzi, Lucia Altucci, Mariarosaria Conte, Ciro Abbondanza and Guillermo Garcia‐Manero. Their work appears in journals such as Oncology, Clinical Cancer Research, Frontiers in Oncology, Leukemia and Critical Reviews in Oncology/Hematology.

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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