Matthew R. Hight

688 total citations
15 papers, 607 citations indexed

About

Matthew R. Hight is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Matthew R. Hight has authored 15 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Matthew R. Hight's work include Radiopharmaceutical Chemistry and Applications (3 papers), Glioma Diagnosis and Treatment (3 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). Matthew R. Hight is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (3 papers), Glioma Diagnosis and Treatment (3 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). Matthew R. Hight collaborates with scholars based in United States, Saudi Arabia and Switzerland. Matthew R. Hight's co-authors include Till Bousquet, Jarrod F. Eubank, Łukasz Wojtas, Mohamed Eddaoudi, H. Charles Manning, Victor Kravtsov, Jason R. Buck, Dewei Tang, Eliot T. McKinley and Michael L. Nickels and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Clinical Cancer Research.

In The Last Decade

Matthew R. Hight

15 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew R. Hight United States	12	277	205	154	117	104	15	607
Roberta Napolitano Italy	16	72 0.3×	308 1.5×	154 1.0×	97 0.8×	73 0.7×	30	688
Aaron Laine United States	17	430 1.6×	378 1.8×	256 1.7×	331 2.8×	265 2.5×	25	1.3k
Joan E. Carpenter United States	10	224 0.8×	179 0.9×	365 2.4×	84 0.7×	230 2.2×	12	987
Rebekka Hueting United Kingdom	15	101 0.4×	149 0.7×	175 1.1×	47 0.4×	295 2.8×	19	720
Wen‐Yuan Hsieh United States	22	207 0.7×	288 1.4×	272 1.8×	126 1.1×	302 2.9×	37	1.3k
Dennis A. Moore United States	15	130 0.5×	190 0.9×	222 1.4×	55 0.5×	113 1.1×	22	786
B. Hofmann Germany	10	79 0.3×	78 0.4×	129 0.8×	51 0.4×	128 1.2×	15	471
Jörn Engelmann Germany	15	54 0.2×	339 1.7×	217 1.4×	80 0.7×	47 0.5×	39	689
Michael C. Burns United States	15	75 0.3×	146 0.7×	752 4.9×	60 0.5×	239 2.3×	23	1.1k
James C. Knight United Kingdom	18	133 0.5×	132 0.6×	245 1.6×	75 0.6×	314 3.0×	57	1.1k

Countries citing papers authored by Matthew R. Hight

Since Specialization

Citations

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

Fields of papers citing papers by Matthew R. Hight

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Hight. 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 Matthew R. Hight. The network helps show where Matthew R. Hight may publish in the future.

Co-authorship network of co-authors of Matthew R. Hight

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

All Works

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15 of 15 papers shown

1.

Cohen, Allison S., Jun Li, Matthew R. Hight, et al.. (2020). TSPO-targeted PET and Optical Probes for the Detection and Localization of Premalignant and Malignant Pancreatic Lesions. Clinical Cancer Research. 26(22). 5914–5925. 14 indexed citations

2.

Buck, Jason R., Samir Saleh, Christine M. Lovly, et al.. (2020). N-[18F]-Fluoroacetylcrizotinib: A potentially potent and selective PET tracer for molecular imaging of non-small cell lung cancer. Bioorganic & Medicinal Chemistry Letters. 30(16). 127257–127257. 4 indexed citations

3.

Zhang, Qin, Dennis K. Jeppesen, James N. Higginbotham, et al.. (2018). Mutant KRAS Exosomes Alter the Metabolic State of Recipient Colonic Epithelial Cells. Cellular and Molecular Gastroenterology and Hepatology. 5(4). 627–629.e6. 33 indexed citations

4.

Schulte, M., Matthew R. Hight, Gregory D. Ayers, et al.. (2016). Non-Invasive Glutamine PET Reflects Pharmacological Inhibition of BRAFV600E In Vivo. Molecular Imaging and Biology. 19(3). 421–428. 18 indexed citations

5.

Hassanein, Mohamed, Matthew R. Hight, Jason R. Buck, et al.. (2015). Preclinical Evaluation of 4-[18F]Fluoroglutamine PET to Assess ASCT2 Expression in Lung Cancer. Molecular Imaging and Biology. 18(1). 18–23. 39 indexed citations

6.

Hight, Matthew R., Yiu‐Yin Cheung, Michael L. Nickels, et al.. (2014). A Peptide-Based Positron Emission Tomography Probe for In Vivo Detection of Caspase Activity in Apoptotic Cells. Clinical Cancer Research. 20(8). 2126–2135. 26 indexed citations

7.

Tang, Dewei, Eliot T. McKinley, Matthew R. Hight, et al.. (2013). Synthesis and Structure–Activity Relationships of 5,6,7-Substituted Pyrazolopyrimidines: Discovery of a Novel TSPO PET Ligand for Cancer Imaging. Journal of Medicinal Chemistry. 56(8). 3429–3433. 47 indexed citations

8.

Tang, Dewei, Matthew R. Hight, Eliot T. McKinley, et al.. (2012). Quantitative Preclinical Imaging of TSPO Expression in Glioma Using N,N-Diethyl-2-(2-(4-(2-¹⁸F-Fluoroethoxy)Phenyl)-5,7-Dimethylpyrazolo[1,5-a]Pyrimidin-3-yl)Acetamide. Journal of Nuclear Medicine. 53(2). 287–294. 55 indexed citations

9.

Eubank, Jarrod F., Farid Nouar, Ryan Luebke, et al.. (2012). On Demand: The Singular rht Net, an Ideal Blueprint for the Construction of a Metal–Organic Framework (MOF) Platform. Angewandte Chemie. 124(40). 10246–10250. 11 indexed citations

10.

Eubank, Jarrod F., Farid Nouar, Ryan Luebke, et al.. (2012). On Demand: The Singular rht Net, an Ideal Blueprint for the Construction of a Metal–Organic Framework (MOF) Platform. Angewandte Chemie International Edition. 51(40). 10099–10103. 121 indexed citations

11.

Hight, Matthew R., et al.. (2011). Multispectral fluorescence imaging to assess pH in biological specimens. Journal of Biomedical Optics. 16(1). 16007–16007. 17 indexed citations

12.

Eubank, Jarrod F., Łukasz Wojtas, Matthew R. Hight, et al.. (2011). The Next Chapter in MOF Pillaring Strategies: Trigonal Heterofunctional Ligands To Access Targeted High-Connected Three Dimensional Nets, Isoreticular Platforms. Journal of the American Chemical Society. 133(44). 17532–17535. 157 indexed citations

13.

Buck, Jason R., Eliot T. McKinley, Matthew R. Hight, et al.. (2010). Quantitative, Preclinical PET of Translocator Protein Expression in Glioma Using ¹⁸F-N-Fluoroacetyl-N-(2,5-Dimethoxybenzyl)-2-Phenoxyaniline. Journal of Nuclear Medicine. 52(1). 107–114. 51 indexed citations

14.

Tang, Dewei, Jason R. Buck, Matthew R. Hight, & H. Charles Manning. (2010). Microwave-assisted organic synthesis of a high-affinity pyrazolo-pyrimidinyl TSPO ligand. Tetrahedron Letters. 51(35). 4595–4598. 13 indexed citations

15.

Buck, Jason R., Eliot T. McKinley, Matthew R. Hight, et al.. (2010). Preclinical evaluation of TSPO ligand [18F]PBR06 for PET imaging of glioma. 51. 279–279. 1 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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