Ramon Riojas
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
- Surgery 6
- Surgical Simulation and Training 2
-
- Metabolism, Diabetes, and Cancer 4
- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- Lily Dong (5 shared papers)Fresnida J. Ramos (2 shared papers)Feng Liu (3 shared papers)Paul R. Langlais (3 shared papers)Chintan K. Kikani (2 shared papers)Xuming Mao (2 shared papers)Qichen Fang (1 shared paper)Christine Y. Christ-Roberts (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Nature Cell Biology (1 paper)The American Surgeon (1 paper)Military Medicine (3 papers)Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ramon Riojas
12 papers receiving 802 citations
Ramon Riojas's Hit Papers
Peers
Comparison fields: 5 of 86
- Endocrine and Autonomic Systems 85
- Epidemiology 386
- Physiology 281
- Cell Biology 73
- Molecular Biology 304
Countries citing papers authored by Ramon Riojas
This map shows the geographic impact of Ramon Riojas'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 Ramon Riojas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramon Riojas more than expected).
Fields of papers citing papers by Ramon Riojas
This network shows the impact of papers produced by Ramon Riojas. 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 Ramon Riojas. The network helps show where Ramon Riojas may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramon Riojas, 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 | APPL1 binds to adiponectin receptors and mediates adiponectin signalling and function Hit paper breakdown → | 2006 | 562 |
| 2 | 2000 | 113 | |
| 3 | 2008 | 35 | |
| 4 | 2006 | 24 | |
| 5 | 2015 | 23 | |
| 6 | 2014 | 22 | |
| 7 | 2012 | 15 | |
| 8 | 2022 | 6 | |
| 9 | 2020 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2012 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 0 |
About Ramon Riojas
Ramon Riojas is a scholar working on Surgery, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 13 papers that have together received 812 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Surgical Simulation and Training (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Simulation-Based Education in Healthcare (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Medical Imaging and Pathology Studies (1 paper) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (85 citations), Epidemiology (386 citations), Physiology (281 citations), Cell Biology (73 citations) and Molecular Biology (304 citations). Ramon Riojas has collaborated with scholars based in United States and China. Frequent co-authors include Lily Dong, Fresnida J. Ramos, Feng Liu, Paul R. Langlais, Chintan K. Kikani, Xuming Mao, Qichen Fang, Christine Y. Christ-Roberts, Lixin Wang and Feng Liu. Their work appears in journals such as Journal of Biological Chemistry, Nature Cell Biology, The American Surgeon, Military Medicine and Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery.
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.