David A. Rendon

1.2k total citations · 1 hit paper
16 papers, 839 citations indexed

About

David A. Rendon is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, David A. Rendon has authored 16 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in David A. Rendon's work include Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (5 papers) and MRI in cancer diagnosis (2 papers). David A. Rendon is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (5 papers) and MRI in cancer diagnosis (2 papers). David A. Rendon collaborates with scholars based in United States. David A. Rendon's co-authors include Dianna M. Milewicz, M. Waleed Gaber, Clemens Duerrschmid, V. Reid Sutton, Atul R. Chopra, Juan C. Bournat, Nancy F. Butte, Scott A. LeMaire, Maria del Solar and Mahim Jain and has published in prestigious journals such as Cell, PLoS ONE and Scientific Reports.

In The Last Decade

David A. Rendon

15 papers receiving 815 citations

Hit Papers

Asprosin, a Fasting-Induced Glucogenic Protein Hormone 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Asprosin, a Fasting-Induced Glucogenic Protein Hormone
    2016 382 citations Clemens Duerrschmid, Juan C. Bournat et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David A. Rendon United States 8 261 231 167 140 120 16 839
Claire F. Jessup Australia 19 214 0.8× 426 1.8× 54 0.3× 57 0.4× 190 1.6× 36 1.0k
Marco Stebel Italy 21 402 1.5× 309 1.3× 91 0.5× 251 1.8× 73 0.6× 45 1.3k
Nicholas Jones United Kingdom 16 109 0.4× 203 0.9× 101 0.6× 149 1.1× 60 0.5× 39 830
Richard C. Chou United States 16 213 0.8× 347 1.5× 120 0.7× 84 0.6× 81 0.7× 29 1.2k
Trung Van Nguyen Australia 19 89 0.3× 281 1.2× 259 1.6× 97 0.7× 41 0.3× 48 1.2k
Maciej Łazarczyk Poland 13 102 0.4× 202 0.9× 113 0.7× 194 1.4× 86 0.7× 34 728
Jie Liao Canada 24 260 1.0× 602 2.6× 75 0.4× 84 0.6× 67 0.6× 42 1.6k
Eun Hee Kim South Korea 14 78 0.3× 200 0.9× 69 0.4× 92 0.7× 40 0.3× 51 765
Jürgen Ordemann Germany 13 97 0.4× 163 0.7× 152 0.9× 42 0.3× 60 0.5× 19 588
Zhiwei Cai China 25 123 0.5× 719 3.1× 85 0.5× 219 1.6× 166 1.4× 63 2.0k

Countries citing papers authored by David A. Rendon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David A. Rendon

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Rendon. A scholar is included among the top collaborators of David A. Rendon 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 David A. Rendon. David A. Rendon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Rendon, David A., et al.. (2019). Pro Azure Governance and Security. Apress eBooks. 2 indexed citations
2.
Rendon, David A., et al.. (2017). Imaging Radiation-Induced Gastrointestinal, Bone Marrow Injury and Recovery Kinetics Using 18F-FDG PET. PLoS ONE. 12(1). e0169082–e0169082. 11 indexed citations
3.
Zawaski, Janice A., Taeko Inoue, David A. Rendon, et al.. (2017). Investigating the Abscopal Effects of Radioablation on Shielded Bone Marrow in Rodent Models Using Multimodality Imaging. Radiation Research. 188(1). 56–56. 6 indexed citations
4.
Duerrschmid, Clemens, Juan C. Bournat, Mahim Jain, et al.. (2016). Asprosin, a Fasting-Induced Glucogenic Protein Hormone. Cell. 165(3). 566–579. 382 indexed citations breakdown →
5.
Shetty, Anil N., Robia G. Pautler, Ketan B. Ghaghada, et al.. (2016). A liposomal Gd contrast agent does not cross the mouse placental barrier. Scientific Reports. 6(1). 27863–27863. 27 indexed citations
6.
Rendon, David A., et al.. (2015). Mapping Radiation Injury and Recovery in Bone Marrow Using 18F-FLT PET/CT and USPIO MRI in a Rat Model. Journal of Nuclear Medicine. 57(2). 266–271. 8 indexed citations
7.
Starosolski, Zbigniew, Carlos Villamizar, David A. Rendon, et al.. (2015). Ultra High-Resolution In vivo Computed Tomography Imaging of Mouse Cerebrovasculature Using a Long Circulating Blood Pool Contrast Agent. Scientific Reports. 5(1). 10178–10178. 68 indexed citations
8.
Shetty, Anil N., Refaat E. Gabr, David A. Rendon, et al.. (2015). Improving spectral quality in fetal brain magnetic resonance spectroscopy using constructive averaging. Prenatal Diagnosis. 35(13). 1294–1300. 4 indexed citations
9.
Gao, Chunxu, Angela M. Major, David A. Rendon, et al.. (2015). Histamine H2 Receptor-Mediated Suppression of Intestinal Inflammation by Probiotic Lactobacillus reuteri. mBio. 6(6). e01358–15. 123 indexed citations
10.
Leen, Ann M., Sujita Sukumaran, Norihiro Watanabe, et al.. (2014). Reversal of Tumor Immune Inhibition Using a Chimeric Cytokine Receptor. Molecular Therapy. 22(6). 1211–1220. 152 indexed citations
11.
Roan, Esra, Kenneth E. Chapman, Leena P. Desai, et al.. (2008). Localized elasticity measured in epithelial cells migrating at a wound edge using atomic force microscopy. American Journal of Physiology-Lung Cellular and Molecular Physiology. 295(1). L54–L60. 46 indexed citations
12.
Rendon, David A., Frank A. DiBianca, & G. Keyes. (2008). Reconstruction artifacts in VRX CT scanner images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6913. 691337–691337.
13.
Keyes, G., et al.. (2008). Analysis of axial spatial resolution in a variable resolution x-ray cone beam CT (VRX-CBCT) system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6913. 69134Y–69134Y. 2 indexed citations
14.
Keyes, G., et al.. (2007). Performance analysis of a CsI-based flat panel detector in a cone beam variable resolution x-ray system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6510. 65104B–65104B. 3 indexed citations
15.
Rendon, David A., Frank A. DiBianca, & G. Keyes. (2007). Comparison of multi-arm VRX CT scanners through computer models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6510. 65103Y–65103Y. 2 indexed citations
16.
DiBianca, Frank A., et al.. (2005). Four-arm variable-resolution x-ray detector for CT target imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5745. 332–332. 3 indexed citations

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.

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