Matías E. Valsecchi

2.7k citations
34 papers · 1.3k · h-index 16

Impact in

  • Oncology top 5%
    • Cutaneous Melanoma Detection and Management
    • Pancreatic and Hepatic Oncology Research
    • Cancer-related Molecular Pathways
    • Cancer, Lipids, and Metabolism

Papers in

    • Cutaneous Melanoma Detection and Management 5
    • Cancer Immunotherapy and Biomarkers 4
    • Ocular Oncology and Treatments 7

Matías E. Valsecchi

32 papers receiving 1.3k citations

Peers

Matías E. Valsecchi
Comparison fields: 5 of 86
  • Oncology 756
  • Cancer Research 238
  • Ophthalmology 115
  • Dermatology 42
  • Epidemiology 147
Replace Andrea Napolitano with:
Andrea Napolitano Italy
Wilfried J. Graveland Netherlands
Uwe Langsenlehner Austria
Stig B. Holmberg Sweden
Nicholas A. Kolaitis United States
Evgeny Izumchenko United States
Shuko Harada United States
Matthew J. Bott United States
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Citations per field
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Andrea Napolitano · 1×
Citations per year

Countries citing papers authored by Matías E. Valsecchi

Since Specialization
Citations

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

Fields of papers citing papers by Matías E. Valsecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matías E. Valsecchi. 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 Matías E. Valsecchi. The network helps show where Matías E. Valsecchi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012242
2 2011148
3 2011145
4 2012108
5 201196
6 201195
7 198876
8 201562
9 201254
10 201741
11 201334
12 201132
13 201030
14 201225
15 201324
16 200923
17 200012
18 201612
19 201312
20 201012

About Matías E. Valsecchi

Matías E. Valsecchi is a scholar working on Oncology, Ophthalmology, Cancer Research, Molecular Biology and Surgery, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (7 papers), Cutaneous Melanoma Detection and Management (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Ubiquitin and proteasome pathways (3 papers), Estrogen and related hormone effects (3 papers), Microtubule and mitosis dynamics (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Oncology (756 citations), Cancer Research (238 citations), Ophthalmology (115 citations), Dermatology (42 citations) and Epidemiology (147 citations). Matías E. Valsecchi has collaborated with scholars based in United States, Argentina and Italy. Frequent co-authors include Gary H. Lyman, Sandra L. Wong, Damian Silbermins, Nicole de Rosa, William Tester, Agnieszka K. Witkiewicz, Danai Khemasuwan, Anabella Lucca Bianchi, Young Kwang Chae and Patricia A. Hurley. Their work appears in journals such as Journal of Clinical Oncology, Reviews on Recent Clinical Trials, Otolaryngology, Ophthalmology 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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