Pablo Cano

738 citations
12 papers · 544 · h-index 9

Impact in

    • Alkaloids: synthesis and pharmacology
    • Berberine and alkaloids research
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Cancer Treatment and Pharmacology 3
    • Pancreatic and Hepatic Oncology Research 2

Pablo Cano

12 papers receiving 526 citations

Peers

Pablo Cano
Comparison fields: 5 of 75
  • Pharmacology 130
  • Oncology 283
  • Cancer Research 153
  • Biochemistry 62
  • Pharmacology 66
Replace Radka Václavíková with:
Radka Václavíková Czechia
Liangliang Bai China
Valérie Le Morvan France
Xingkai Liu China
Feng Huang China
Wafaey Gomaa Saudi Arabia
Wu-Ming Qin China
Jin Gao China
Xiaoling Song China
Weiwei Shao China
Pablo Cano relative to Radka Václavíková Czechia Radka Václavíková's profile →
Citations per field
00.5×1.5×2.1×
Radka Václavíková · 1×
Citations per year

Countries citing papers authored by Pablo Cano

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016180
2 200689
3 199974
4 200951
5 200648
6 201437
7 200929
8 199819
9 201313
10 20172
11 20241
12 20041

About Pablo Cano

Pablo Cano is a scholar working on Molecular Biology, Oncology, Pharmacology, Biochemistry and Cancer Research, having authored 12 papers that have together received 544 indexed citations. Recurring topics across this work include Traditional and Medicinal Uses of Annonaceae (4 papers), Alkaloids: synthesis and pharmacology (4 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Genomics and Diagnostics (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Renal cell carcinoma treatment (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Pharmacology (130 citations), Oncology (283 citations), Cancer Research (153 citations), Biochemistry (62 citations) and Pharmacology (66 citations). Pablo Cano has collaborated with scholars based in Canada, United States and Peru. Frequent co-authors include John T. Arnason, Robert M. Lafrenie, Colin Germond, Scot Dowden, Malcolm J. Moore, Paweł Zalewski, Sharlene Gill, Sukhbinder Dhesy‐Thind, Yoo‐Joung Ko and Muhammad Zulfiqar. Their work appears in journals such as Journal of Clinical Oncology, Journal of Ethnopharmacology, European Journal of Medicinal Chemistry, Clinical Cancer Research and European Journal of Cancer.

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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