Luis Tecedor
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
Papers in
-
- RNA Interference and Gene Delivery 3
- Ion Transport and Channel Regulation 2
- Physiology 10
- Lysosomal Storage Disorders Research 9
- Calcium signaling and nucleotide metabolism 2
- Co-authors
- Beverly L. Davidson (19 shared papers)Alex Mas Monteys (3 shared papers)Mark L. Schultz (5 shared papers)Michael Chang (1 shared paper)Yi Xing (1 shared paper)Ji Wan (1 shared paper)Ryan M. Spengler (1 shared paper)Colleen S. Stein (6 shared papers)
- Journals
- Molecular Therapy (3 papers)Journal of Neuroscience (2 papers)Neurobiology of Disease (2 papers)Science Translational Medicine (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesSpainAustria
In The Last Decade
Luis Tecedor
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 279
- Physiology 91
- Physiology 392
- Cell Biology 205
- Molecular Biology 641
Countries citing papers authored by Luis Tecedor
This map shows the geographic impact of Luis Tecedor'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 Luis Tecedor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Tecedor more than expected).
Fields of papers citing papers by Luis Tecedor
This network shows the impact of papers produced by Luis Tecedor. 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 Luis Tecedor. The network helps show where Luis Tecedor may publish in the future.
Co-authors
The 25 scholars most cited alongside Luis Tecedor, 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 | 2010 | 296 | |
| 2 | 2011 | 174 | |
| 3 | 2014 | 124 | |
| 4 | 2015 | 111 | |
| 5 | 2021 | 88 | |
| 6 | 2012 | 57 | |
| 7 | 2013 | 54 | |
| 8 | 2007 | 50 | |
| 9 | 2024 | 41 | |
| 10 | 2018 | 23 | |
| 11 | 2014 | 20 | |
| 12 | 2019 | 14 | |
| 13 | 2010 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2018 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 5 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2017 | 1 |
About Luis Tecedor
Luis Tecedor is a scholar working on Molecular Biology, Physiology, Cell Biology, Cellular and Molecular Neuroscience and Genetics, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (9 papers), Cellular transport and secretion (5 papers), Genetic Neurodegenerative Diseases (3 papers), RNA Interference and Gene Delivery (3 papers), Ion Transport and Channel Regulation (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Hereditary Neurological Disorders (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Cancer Research (279 citations), Physiology (91 citations), Physiology (392 citations), Cell Biology (205 citations) and Molecular Biology (641 citations). Luis Tecedor has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Beverly L. Davidson, Alex Mas Monteys, Mark L. Schultz, Michael Chang, Yi Xing, Ji Wan, Ryan M. Spengler, Colleen S. Stein, Leslie M. Thompson and John H. Lee. Their work appears in journals such as Molecular Therapy, Journal of Neuroscience, Neurobiology of Disease, Science Translational Medicine and Nature Communications.
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.