David A. Rendon
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Endocrine and Autonomic Systems top 10%
Papers in
-
- Medical Imaging Techniques and Applications 6
- Radiation Dose and Imaging 2
- Radiomics and Machine Learning in Medical Imaging 1
- MRI in cancer diagnosis 1
-
- Advanced X-ray and CT Imaging 5
- Co-authors
- Dianna M. Milewicz (2 shared papers)M. Waleed Gaber (5 shared papers)Clemens Duerrschmid (1 shared paper)Juan C. Bournat (1 shared paper)Bokai Zhu (1 shared paper)Brian York (1 shared paper)Poonam Sarkar (1 shared paper)Joseph S. Coselli (1 shared paper)
- Journals
- Scientific Reports (2 papers)Prenatal Diagnosis (1 paper)Journal of Nuclear Medicine (1 paper)Cell (1 paper)PLoS ONE (1 paper)
- Partner nations
- United States
In The Last Decade
David A. Rendon
15 papers receiving 834 citations
David A. Rendon's Hit Papers
Peers
Comparison fields: 5 of 109
- Physiology 204
- Endocrine and Autonomic Systems 48
- Oncology 165
- Immunology 95
- Biological Psychiatry 10
Countries citing papers authored by David A. Rendon
This map shows the geographic impact of David A. Rendon'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 David A. Rendon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Rendon more than expected).
Fields of papers citing papers by David A. Rendon
This network shows the impact of papers produced by David A. Rendon. 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 David A. Rendon. The network helps show where David A. Rendon may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Rendon, 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 | Asprosin, a Fasting-Induced Glucogenic Protein Hormone Hit paper breakdown → | 2016 | 396 |
| 2 | 2014 | 154 | |
| 3 | 2015 | 123 | |
| 4 | 2015 | 69 | |
| 5 | 2008 | 46 | |
| 6 | 2016 | 28 | |
| 7 | 2017 | 11 | |
| 8 | 2015 | 8 | |
| 9 | 2017 | 6 | |
| 10 | 2015 | 4 | |
| 11 | 2007 | 3 | |
| 12 | 2005 | 3 | |
| 13 | 2008 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2007 | 2 | |
| 16 | 2008 | 0 |
About David A. Rendon
David A. Rendon is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 857 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (5 papers), Radiation Dose and Imaging (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Advanced Radiotherapy Techniques (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Physiology (204 citations), Endocrine and Autonomic Systems (48 citations), Oncology (165 citations), Immunology (95 citations) and Biological Psychiatry (10 citations). David A. Rendon has collaborated with scholars based in United States. Frequent co-authors include Dianna M. Milewicz, M. Waleed Gaber, Clemens Duerrschmid, Juan C. Bournat, Bokai Zhu, Brian York, Poonam Sarkar, Joseph S. Coselli, David D. Moore and Atul R. Chopra. Their work appears in journals such as Scientific Reports, Prenatal Diagnosis, Journal of Nuclear Medicine, Cell 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.