Jorge Artaza
- Molecular Biology top 10%
- Cell Biology top 2%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Rehabilitation top 2%
- Co-authors
- Néstor F. González-CadavidShalender BhasinWayne E. TaylorCon MallidisKun MaIndrani Sinha‐HikimM AzamFrederick C. Kull
- Topics
- Muscle Physiology and Disorders (6 papers)Muscle metabolism and nutrition (4 papers)Hormonal and reproductive studies (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular SciencesAmerican Journal of Physiology-Endocrinology and Metabolism
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Jorge Artaza
11 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 906
- Cell Biology 460
- Physiology 445
- Endocrinology, Diabetes and Metabolism 376
- Rehabilitation 188
Countries citing papers authored by Jorge Artaza
This map shows the geographic impact of Jorge Artaza'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 Jorge Artaza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Artaza more than expected).
Fields of papers citing papers by Jorge Artaza
This network shows the impact of papers produced by Jorge Artaza. 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 Jorge Artaza. The network helps show where Jorge Artaza may publish in the future.
Co-authorship network of co-authors of Jorge Artaza
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Artaza. A scholar is included among the top collaborators of Jorge Artaza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jorge Artaza. Jorge Artaza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 32 | |
| 3 | 1 | |
| 4 | 44 | |
| 5 | 158 | |
| 6 | 328 | |
| 7 | 319 | |
| 8 | 342 | |
| 9 | Characterization of the 5' upstream regulatory region of the human myostatin gene: regulation of myostatin gene transcription by dexamethasone in vitro | 25 |
| 10 | 183 | |
| 11 | [Red cell distribution width (RDW): its use in the characterization of microcytic and hypochromic anemias]. | 42 |
About Jorge Artaza
Jorge Artaza is a scholar working on Cell Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Muscle metabolism and nutrition (4 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Cell Biology (460 citations), Rehabilitation (188 citations) and Endocrinology, Diabetes and Metabolism (376 citations). Jorge Artaza has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Néstor F. González-Cadavid, Shalender Bhasin, Wayne E. Taylor, Con Mallidis, Kun Ma, Indrani Sinha‐Hikim, M Azam, Frederick C. Kull, José L. Arias and Vahid Pirhajati Mahabadi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and American Journal of Physiology-Endocrinology and Metabolism.
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.