Luana Schito

23 papers receiving 2.3k citations

Luana Schito's Hit Papers

Hypoxia-Inducible Factors: Master Regulators of Cancer Progression 2016 · 765 citations
7650+3+6Years since publication250500750

Peers

Luana Schito
Comparison fields: 5 of 93
  • Cancer Research 1.1k
  • Oncology 621
  • Physiology 77
  • Genetics 168
  • Immunology 316
Replace Alpaslan Tasdogan with:
Alpaslan Tasdogan Germany
Daniel M. Kremer United States
Lauren G. Zacharias United States
Douglas E. Biancur United States
Zhao Lin China
Albert S.W. Sohn United States
Frédéric Dayan France
Ciro Zanca United States
Wantong Yao United States
Simon Wigfield United Kingdom
Luana Schito relative to Alpaslan Tasdogan Germany Alpaslan Tasdogan's profile →
Citations per field
00.5×2×3.3×
Alpaslan Tasdogan · 1×
Citations per year

Countries citing papers authored by Luana Schito

Since Specialization
Citations

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

Fields of papers citing papers by Luana Schito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hypoxia-Inducible Factors: Master Regulators of Cancer Progression
Hit paper breakdown →
2016765
2 2012219
3 2012192
4 2013165
5 2016154
6 2011150
7 201791
8 201384
9 201972
10 201765
11 201062
12 201058
13 201750
14 201837
15 202034
16 200830
17 201727
18 202024
19 201721
20 202318

About Luana Schito

Luana Schito is a scholar working on Cancer Research, Oncology, Immunology, Genetics and Molecular Biology, having authored 24 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (19 papers), Cancer Cells and Metastasis (7 papers), Immune cells in cancer (4 papers), RNA modifications and cancer (4 papers), Lymphatic System and Diseases (3 papers), Mitochondrial Function and Pathology (3 papers), Autophagy in Disease and Therapy (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (621 citations), Physiology (77 citations), Genetics (168 citations) and Immunology (316 citations). Luana Schito has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Gregg L. Semenza, Sergio Rey–Keim, Bradly G. Wouters, Carmen Chak‐Lui Wong, Marco Tafani, Matteo Antonio Russo, Marianne Koritzinsky, Huafeng Zhang, Naoharu Takano and Weibo Luo. Their work appears in journals such as Trends in cancer, Journal of Clinical Investigation, Seminars in Cancer Biology, Advanced Drug Delivery Reviews and Cancer Science.

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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