Mark D. Benson

3.4k total citations
48 papers, 1.6k citations indexed

About

Mark D. Benson is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mark D. Benson has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Surgery and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mark D. Benson's work include Liver Disease Diagnosis and Treatment (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Mark D. Benson is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Mark D. Benson collaborates with scholars based in United States, Australia and United Kingdom. Mark D. Benson's co-authors include Robert E. Gerszten, Jorge A. Iñiguez‐Lluhí, Jeffrey R. Martens, Debby Ngo, Thomas Lloyd, Steven J. Phillips, Dongxiao Shen, David F. Gordon, L.A. Iannone and Chamnahn Kongtahworn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Mark D. Benson

44 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark D. Benson 496 348 340 250 223 48 1.6k
Matthias Frick 347 0.7× 495 1.4× 728 2.1× 290 1.2× 176 0.8× 68 1.8k
Yi‐Da Tang 545 1.1× 399 1.1× 744 2.2× 379 1.5× 210 0.9× 132 2.0k
Joseph F. Solus 714 1.4× 211 0.6× 659 1.9× 388 1.6× 103 0.5× 58 2.7k
Jiang Li 430 0.9× 484 1.4× 610 1.8× 518 2.1× 197 0.9× 169 2.1k
Yuichi Nakamura 544 1.1× 394 1.1× 526 1.5× 129 0.5× 129 0.6× 103 1.8k
Shinji Seto 479 1.0× 229 0.7× 1.0k 2.9× 208 0.8× 135 0.6× 76 1.8k
Hideaki Yoshida 1.3k 2.6× 332 1.0× 581 1.7× 455 1.8× 180 0.8× 116 2.8k
Ronen Durst 316 0.6× 592 1.7× 494 1.5× 361 1.4× 87 0.4× 87 1.8k

Countries citing papers authored by Mark D. Benson

Since Specialization
Citations

This map shows the geographic impact of Mark D. Benson'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 Mark D. Benson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Benson more than expected).

Fields of papers citing papers by Mark D. Benson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Benson. 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 Mark D. Benson. The network helps show where Mark D. Benson may publish in the future.

Co-authorship network of co-authors of Mark D. Benson

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

All Works

20 of 20 papers shown
1.
Tahir, Usman A., Daniel E. Cruz, Dongxiao Shen, et al.. (2025). SECTM1 Regulates Monocyte Levels and Is Associated With Incident Coronary Heart Disease. JACC Basic to Translational Science. 10(10). 101378–101378.
2.
3.
Chen, Zsu‐Zsu, Yan Gao, Michelle J. Keyes, et al.. (2023). Protein Markers of Diabetes Discovered in an African American Cohort. Diabetes. 72(4). 532–543. 10 indexed citations
4.
Tanzo, Julia T., Amanda L. Wiggenhorn, María Dolores Moya-Garzón, et al.. (2023). CYP4F2 is a human-specific determinant of circulating N-acyl amino acid levels. Journal of Biological Chemistry. 299(6). 104764–104764. 3 indexed citations
5.
Katz, Daniel H., Jeremy Robbins, Shuliang Deng, et al.. (2022). Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods. Science Advances. 8(33). eabm5164–eabm5164. 94 indexed citations
6.
Plutzky, Jorge, Mark D. Benson, Lina Matta, et al.. (2021). Population health management of low-density lipoprotein cholesterol via a remote, algorithmic, navigator-executed program. American Heart Journal. 243. 15–27. 6 indexed citations
7.
Farmer, Jocelyn R., Hugues Allard‐Chamard, Na Sun, et al.. (2019). Induction of metabolic quiescence defines the transitional to follicular B cell switch. Science Signaling. 12(604). 29 indexed citations
8.
Gidlöf, Olof, Roland Nilsson, Mark D. Benson, et al.. (2019). Profiling of the plasma proteome across different stages of human heart failure. Nature Communications. 10(1). 5830–5830. 51 indexed citations
9.
Roh, Jason D., Pablo Quintero, Ashish Yeri, et al.. (2018). TARGETING THE ACTIVIN TYPE II RECEPTOR PATHWAY FOR HEART FAILURE THERAPY. Journal of the American College of Cardiology. 71(11). A2663–A2663.
10.
Benson, Mark D., et al.. (2018). A REMOTE LIPID MANAGEMENT PROGRAM IMPROVES APPROPRIATE STATIN USE AND CHOLESTEROL LEVELS ACROSS A WIDE POPULATION OF HIGH CARDIOVASCULAR RISK PATIENTS. Journal of the American College of Cardiology. 71(11). A1762–A1762. 4 indexed citations
11.
Benson, Mark D., Jorge A. Iñiguez‐Lluhí, & Jeffrey R. Martens. (2017). Sumo Modification of Ion Channels. Advances in experimental medicine and biology. 963. 127–141. 16 indexed citations
12.
McKinney, Alexander M., David Nascene, Weston P. Miller, et al.. (2012). Childhood Cerebral X-Linked Adrenoleukodystrophy: Diffusion Tensor Imaging Measurements for Prediction of Clinical Outcome after Hematopoietic Stem Cell Transplantation. American Journal of Neuroradiology. 34(3). 641–649. 17 indexed citations
13.
McPherson, Stuart, Julie R. Jonsson, Gary Cowin, et al.. (2009). Magnetic resonance imaging and spectroscopy accurately estimate the severity of steatosis provided the stage of fibrosis is considered. Journal of Hepatology. 51(2). 389–397. 139 indexed citations
14.
McEwen, Dyke P., Sarah M. Schumacher, Qiuju Li, et al.. (2007). Rab-GTPase-dependent Endocytic Recycling of KV1.5 in Atrial Myocytes. Journal of Biological Chemistry. 282(40). 29612–29620. 67 indexed citations
15.
Lloyd, Thomas, et al.. (2005). Diaphragmatic paralysis: the use of M mode ultrasound for diagnosis in adults. Spinal Cord. 44(8). 505–508. 94 indexed citations
16.
Benson, Mark D., et al.. (2004). Comparison of computer display monitors for computed radiography diagnostic application in a radiology PACS. Australasian Physical & Engineering Sciences in Medicine. 27(3). 148–150. 14 indexed citations
17.
Zelaya, Fernando, Neil Flood, Jonathan B. Chalk, et al.. (1999). An evaluation of the time dependence of the anisotropy of the water diffusion tensor in acute human ischemia. Magnetic Resonance Imaging. 17(3). 331–348. 90 indexed citations
18.
Baddeley, H, et al.. (1986). Measurement of liver volume using water delay ultrasonography.. PubMed. 55(6). 330–6. 7 indexed citations
19.
Benson, Mark D., et al.. (1983). A Comparative Double‐Blind Trial of Mannitol and Magnesium Citrate/Bisacodyl (MCB)* in the Preparation of Barium Enema Patients. Australasian Radiology. 27(1). 25–26. 1 indexed citations
20.
Harper, John, et al.. (1982). Ultrasound and Arthrography in the Detection of Ruptured Baker's Cysts. Australasian Radiology. 26(3). 281–283. 2 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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