Valentina Mey

1.5k citations
24 papers · 1.3k indexed · h-index 17
Topics
Pancreatic and Hepatic Oncology Research (10 papers)Lung Cancer Treatments and Mutations (7 papers)Cancer therapeutics and mechanisms (6 papers)

In The Last Decade

Valentina Mey

24 papers receiving 1.2k citations

Peers

Valentina Mey
Comparison fields: 5 of 91
  • Oncology 768
  • Molecular Biology 578
  • Pulmonary and Respiratory Medicine 344
  • Cancer Research 281
  • Surgery 164
Replace Oscar Alabiso with:
Oscar Alabiso Italy
Daphne Voorn Netherlands
Masako Ura Japan
HM Pinedo Netherlands
Cheol Hyeon Kim South Korea
Yuji Shimamoto Japan
Maria Ornella Nicoletto Italy
Yasuhide Hirota Japan
Franklin C. Harwood United States
G. Veerman Netherlands
Valentina Mey relative to Oscar Alabiso Italy Oscar Alabiso's profile →
Citations per field
00.5×1.5×
Oscar Alabiso · 1×
Citations per year

Countries citing papers authored by Valentina Mey

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Mey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Mey

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Mey. A scholar is included among the top collaborators of Valentina Mey 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 Valentina Mey. Valentina Mey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Akt1 rs2498801 is related to survival in head and neck squamous cell cancer treated with radiotherapy.
6
2 9
3 22
4 16
5 34
6 45
7 17
8 27
9 10
10 26
11
Correlation of cytidine deaminase (CDA), xeroderma pigmentosum group D (XPD) and excision repair cross-complementing 1 (ERCC1) genes single nucleotide polymorphisms (SNPS) with response and survival in gemcitabine/cisplatin treated advanced non-small-cell lung cancer (NSCLC) patients
8
12 42
13 12
14 46
15 278
16 3
17 30
18 57
19 154
20 52

About Valentina Mey

Valentina Mey is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer therapeutics and mechanisms (6 papers). The work is most often cited by research in Oncology (768 citations), Cancer Research (281 citations) and Physiology (66 citations). Valentina Mey has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Romano Danesi, Mario Del Tacca, Elisa Giovannetti, Sara Nannizzi, Giuseppe Pasqualetti, S Ricciardi, Cinzia Orlandini, Ugo Boggi, Franco Mosca and Generoso Bevilacqua. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

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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