Jon Lecanda
Impact in
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- Cancer Cells and Metastasis
- Drug Transport and Resistance Mechanisms
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- Liver Diseases and Immunity
Papers in
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- TGF-β signaling in diseases 6
- Ion Transport and Channel Regulation 5
- Ubiquitin and proteasome pathways 2
- RNA Research and Splicing 1
- Genomics and Chromatin Dynamics 1
- Oncology 2
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Jesús Prìeto (7 shared papers)Juan Francisco Medina (4 shared papers)Diego Serrano (2 shared papers)Alfonso Calvo (2 shared papers)Leslie I. Gold (5 shared papers)Víctor Segura (1 shared paper)Jeffrey E. Green (1 shared paper)Raúl Catena (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)PLoS ONE (2 papers)Experimental Cell Research (2 papers)Cell Cycle (2 papers)Gene Therapy (1 paper)
- Partner nations
- SpainUnited StatesBrazil
In The Last Decade
Jon Lecanda
16 papers receiving 560 citations
Peers
Comparison fields: 5 of 64
- Oncology 142
- Hepatology 42
- Molecular Biology 252
- Cancer Research 34
- Immunology 46
Countries citing papers authored by Jon Lecanda
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 103 | |
| 2 | 2003 | 71 | |
| 3 | 2000 | 68 | |
| 4 | 2012 | 61 | |
| 5 | 2000 | 47 | |
| 6 | 2009 | 45 | |
| 7 | 2004 | 39 | |
| 8 | 2007 | 31 | |
| 9 | 2000 | 26 | |
| 10 | 2012 | 26 | |
| 11 | 2010 | 25 | |
| 12 | 2003 | 14 | |
| 13 | 2016 | 12 | |
| 14 | 2000 | 2 | |
| 15 | 2008 | 2 | |
| 16 | 2016 | 2 |
About Jon Lecanda
Jon Lecanda is a scholar working on Molecular Biology, Oncology, Hepatology, Reproductive Medicine and Psychiatry and Mental health, having authored 16 papers that have together received 574 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Ion Transport and Channel Regulation (5 papers), Ubiquitin and proteasome pathways (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Medicine, History, and Philosophy (1 paper), Liver physiology and pathology (1 paper), RNA Research and Splicing (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Oncology (142 citations), Hepatology (42 citations), Molecular Biology (252 citations), Cancer Research (34 citations) and Immunology (46 citations). Jon Lecanda has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include Jesús Prìeto, Juan Francisco Medina, Diego Serrano, Alfonso Calvo, Leslie I. Gold, Víctor Segura, Jeffrey E. Green, Raúl Catena, Cheng Qian and Khush Mittal. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Experimental Cell Research, Cell Cycle and Gene Therapy.
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.