Jon Lecanda

636 citations
17 papers · 573 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Drug Transport and Resistance Mechanisms
    • Cancer-related Molecular Pathways
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Cancer-related Molecular Pathways 5
    • Cancer Cells and Metastasis 3
    • Drug Transport and Resistance Mechanisms 2
    • TGF-β signaling in diseases 5
    • Ion Transport and Channel Regulation 3
    • Ubiquitin and proteasome pathways 2
    • Ion channel regulation and function 2

Jon Lecanda

17 papers receiving 562 citations

Peers

Jon Lecanda
Comparison fields: 5 of 83
  • Oncology 211
  • Cancer Research 79
  • Molecular Biology 312
  • Hepatology 29
  • Immunology 76
Replace Carla Azzurra Amoreo with:
Carla Azzurra Amoreo Italy
Can Jiang China
Xiaoqing Jia China
Jae Gahb Park South Korea
Della Reynolds United States
Sandra Huling United States
Guelaguetza Vázquez-Ortíz Mexico
Masafumi Kataoka Japan
Jon Lecanda relative to Carla Azzurra Amoreo Italy Carla Azzurra Amoreo's profile →
Citations per field
00.5×1.5×2.4×
Carla Azzurra Amoreo · 1×
Citations per year

Countries citing papers authored by Jon Lecanda

Since Specialization
Citations

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

Fields of papers citing papers by Jon Lecanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2009102
2 200373
3 200069
4 201259
5 200046
6 200943
7 200439
8 200731
9 200027
10 201226
11 201025
12 200315
13 201611
14 20162
15 20082
16 20002
17 20101

About Jon Lecanda

Jon Lecanda is a scholar working on Oncology, Molecular Biology, Surgery, Public Health, Environmental and Occupational Health and Cell Biology, having authored 17 papers that have together received 573 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Cancer-related Molecular Pathways (5 papers), Pancreatic function and diabetes (4 papers), Ion Transport and Channel Regulation (3 papers), Cancer Cells and Metastasis (3 papers), Ubiquitin and proteasome pathways (2 papers), Ion channel regulation and function (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Oncology (211 citations), Cancer Research (79 citations), Molecular Biology (312 citations), Hepatology (29 citations) and Immunology (76 citations). Jon Lecanda has collaborated with scholars based in Spain, United States and Iran. Frequent co-authors include Jesús Prìeto, Juan F. Medina, Alfonso Calvo, Diego Serrano, Leslie I. Gold, Jeffrey E. Green, Víctor Segura, Raúl Catena, Raquel Urtasun and Yonglian Sun. Their work appears in journals such as Biochemical and Biophysical Research Communications, Experimental Cell Research, Cell Cycle, Cancer Research and PLoS ONE.

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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