Matthew White

457 total citations
13 papers, 343 citations indexed

About

Matthew White is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew White has authored 13 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew White's work include Ubiquitin and proteasome pathways (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Matthew White is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Matthew White collaborates with scholars based in United States. Matthew White's co-authors include David J. McConkey, Xi Yang, Donald L. Miller, J W Reinig, John L. Doppman, Andrew J. Dwyer, Alfred E. Chang, P H Sugarbaker, J A Frank and Matthew Bryant and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Oncogene.

In The Last Decade

Matthew White

13 papers receiving 329 citations

Peers

Matthew White
Allan M. Green United States
Helen Callanan United States
Xiyin Wei China
Erika Parasido United States
Hamdy Ali United States
Andreas Hedblom United States
Allan M. Green United States
Matthew White
Citations per year, relative to Matthew White Matthew White (= 1×) peers Allan M. Green

Countries citing papers authored by Matthew White

Since Specialization
Citations

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

Fields of papers citing papers by Matthew White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew White

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

All Works

13 of 13 papers shown
1.
Özütemiz, Can, Matthew White, Yiğitcan Eryaman, et al.. (2023). Use of a Commercial 7-T MRI Scanner for Clinical Brain Imaging: Indications, Protocols, Challenges, and Solutions—A Single-Center Experience. American Journal of Roentgenology. 221(6). 788–804. 16 indexed citations
2.
Zeineddine, Mohammad A., Abdelrahman Yousef, Michael J. Overman, et al.. (2022). SO-40 Measurement of circulating tumor DNA (ctDNA) in appendiceal adenocarcinoma (AA): Prevalence, predictors, and correlation with clinical outcome. Annals of Oncology. 33. S374–S374. 1 indexed citations
4.
Spector, D. L., et al.. (2020). Stable knockout of lanthionine synthase C-like protein-1 (LanCL1) from HeLa cells indicates a role for LanCL1 in redox regulation of deubiquitinating enzymes. Free Radical Biology and Medicine. 161. 115–124. 6 indexed citations
5.
Zhang, Jun, Lijun Ren, Xi Yang, et al.. (2018). Cytotoxicity of 34 FDA approved small-molecule kinase inhibitors in primary rat and human hepatocytes. Toxicology Letters. 291. 138–148. 23 indexed citations
6.
White, Matthew, et al.. (2018). HRI-mediated translational repression reduces proteotoxicity and sensitivity to bortezomib in human pancreatic cancer cells. Oncogene. 37(32). 4413–4427. 18 indexed citations
7.
Zhang, Jun, Alec T. Salminen, Xi Yang, et al.. (2016). Effects of 31 FDA approved small-molecule kinase inhibitors on isolated rat liver mitochondria. Archives of Toxicology. 91(8). 2921–2938. 74 indexed citations
8.
White, Matthew, Li Pang, & Xi Yang. (2016). MicroRNA-mediated maturation of human pluripotent stem cell-derived cardiomyocytes: Towards a better model for cardiotoxicity?. Food and Chemical Toxicology. 98(Pt A). 17–24. 17 indexed citations
9.
Wikoff, Daniele, et al.. (2015). Development of toxicity values and exposure estimates for tetrabromobisphenol A: application in a margin of exposure assessment. Journal of Applied Toxicology. 35(11). 1292–1308. 34 indexed citations
10.
Wei, Qi, Matthew White, Woonyoung Choi, et al.. (2013). Inhibition of Inducible Heat Shock Protein-70 (Hsp72) Enhances Bortezomib-Induced Cell Death in Human Bladder Cancer Cells. PLoS ONE. 8(7). e69509–e69509. 36 indexed citations
11.
McConkey, David J., et al.. (2012). HDAC Inhibitor Modulation of Proteotoxicity as a Therapeutic Approach in Cancer. Advances in cancer research. 116. 131–163. 28 indexed citations
12.
Burd, Amy, J. Castillo, Matthew White, et al.. (2011). Pharmacokinetic and pharmacodynamic analysis of gastric cancer patients treated with telatinib.. Journal of Clinical Oncology. 29(4_suppl). 113–113. 1 indexed citations
13.
Reinig, J W, Andrew J. Dwyer, Donald L. Miller, et al.. (1987). Liver metastasis detection: comparative sensitivities of MR imaging and CT scanning.. Radiology. 162(1). 43–47. 82 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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