Thais Basili

829 citations
10 papers · 108 · h-index 6

Impact in

Papers in

    • Breast Cancer Treatment Studies 2
    • Cancer Genomics and Diagnostics 1
    • MicroRNA in disease regulation 1
    • Cancer, Hypoxia, and Metabolism 1

Thais Basili

9 papers receiving 106 citations

Peers

Thais Basili
Comparison fields: 5 of 27
  • Cancer Research 48
  • Pathology and Forensic Medicine 44
  • Dermatology 18
  • Reproductive Medicine 14
  • Oncology 36
Replace John R. Lozada with:
John R. Lozada United States
Venkata Yadati United States
Jorge S. Reis-Filho United States
M. Kandel Germany
Jakob Jóhannsson Iceland
J F Rodier France
T. Tuziak Poland
Diana Agostini‐Vulaj United States
Daniela Dinu Romania
Eleonora Mioranza Italy
Thais Basili relative to John R. Lozada United States John R. Lozada's profile →
Citations per field
00.5×2.8×
John R. Lozada · 1×
Citations per year

Countries citing papers authored by Thais Basili

Since Specialization
Citations

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

Fields of papers citing papers by Thais Basili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201841
2 202218
3 201816
4 202210
5 202010
6 20218
7 20242
8 20212
9 20241
10 20250

About Thais Basili

Thais Basili is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Oncology and Obstetrics and Gynecology, having authored 10 papers that have together received 108 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (2 papers), Breast Lesions and Carcinomas (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper), MicroRNA in disease regulation (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cancer Research (48 citations), Pathology and Forensic Medicine (44 citations), Dermatology (18 citations), Reproductive Medicine (14 citations) and Oncology (36 citations). Thais Basili has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Britta Weigelt, Jorge S. Reis‐Filho, Bárbara Alemar, Fresia Pareja, Arnaud Da Cruz Paula, John R. Lozada, Felipe C. Geyer, Maria Pia Foschini, Dilip D. Giri and Edi Brogi. Their work appears in journals such as Gynecologic Oncology, npj Breast Cancer, Molecular Oncology, Clinical Cancer Research and Frontiers in 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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