Matthew C. Williams

553 total citations
11 papers, 396 citations indexed

About

Matthew C. Williams is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Matthew C. Williams has authored 11 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Matthew C. Williams's work include Hemoglobin structure and function (5 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers) and Neonatal Health and Biochemistry (2 papers). Matthew C. Williams is often cited by papers focused on Hemoglobin structure and function (5 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers) and Neonatal Health and Biochemistry (2 papers). Matthew C. Williams collaborates with scholars based in United States and Switzerland. Matthew C. Williams's co-authors include Felice D’Agnillo, Paul W. Buehler, Jin Hyen Baek, Dominik J. Schaer, J S Brody, Florence Vallelian, Yiping Jia, Cláudia Pereira, Jason M. Warfel and Mahtab Moayeri and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Matthew C. Williams

10 papers receiving 391 citations

Peers

Matthew C. Williams

PHYSI

GENET

PRM

Ariel Hay United States

Alicia N. Rizzo United States

Hongbo Qi China

Stuart R. Landstreet United States

Sho Isogai Japan

Xiaomin Pan United States

Nathalie Pilard France

S. Imbesi Italy

Sergiy Mykhaylov Canada

Ariel Hay United States

Matthew C. Williams

128 ×0.9

69 ×0.5

277 ×2.7

PHYSI

74 ×1.0

GENET

54 ×0.7

PRM

Citations per year, relative to Matthew C. Williams Matthew C. Williams (= 1×) peers Ariel Hay

Countries citing papers authored by Matthew C. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Matthew C. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew C. Williams

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

All Works

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11 of 11 papers shown

Baek, Jin Hyen, Matthew C. Williams, Yamei Gao, et al.. (2024). Ultraviolet light and riboflavin accelerates red blood cell dysfunction in vitro and in a guinea pig transfusion model.. PubMed. 22(4). 316–327.

Williams, Matthew C., et al.. (2023). Renal glomerular and tubular responses to glutaraldehyde- polymerized human hemoglobin. Frontiers in Medicine. 10. 1158359–1158359. 1 indexed citations

Jana, Sirsendu, Michael R. Heaven, Charles B. Stauft, et al.. (2022). HIF-1α-Dependent Metabolic Reprogramming, Oxidative Stress, and Bioenergetic Dysfunction in SARS-CoV-2-Infected Hamsters. International Journal of Molecular Sciences. 24(1). 558–558. 17 indexed citations

D’Agnillo, Felice, et al.. (2020). Structural Integrity of the Alveolar–Capillary Barrier in Cynomolgus Monkeys Challenged with Fully Virulent and Toxin-Deficient Strains of Bacillus anthracis. American Journal Of Pathology. 190(10). 2095–2110. 4 indexed citations

Williams, Matthew C., et al.. (2018). Reversible renal glomerular dysfunction in guinea pigs exposed to glutaraldehyde-polymerized cell-free hemoglobin. Toxicology. 402-403. 37–49. 5 indexed citations

Williams, Matthew C., et al.. (2016). Transcriptional Suppression of Renal Antioxidant Enzyme Systems in Guinea Pigs Exposed to Polymerized Cell-Free Hemoglobin. Toxics. 4(1). 6–6. 17 indexed citations

Baek, Jin Hyen, et al.. (2015). Sodium nitrite potentiates renal oxidative stress and injury in hemoglobin exposed guinea pigs. Toxicology. 333. 89–99. 28 indexed citations

Baek, Jin Hyen, et al.. (2014). Extracellular Hb Enhances Cardiac Toxicity in Endotoxemic Guinea Pigs: Protective Role of Haptoglobin. Toxins. 6(4). 1244–1259. 18 indexed citations

D’Agnillo, Felice, Matthew C. Williams, Mahtab Moayeri, & Jason M. Warfel. (2013). Anthrax Lethal Toxin Downregulates Claudin-5 Expression in Human Endothelial Tight Junctions. PLoS ONE. 8(4). e62576–e62576. 17 indexed citations

10.

Baek, Jin Hyen, Felice D’Agnillo, Florence Vallelian, et al.. (2012). Hemoglobin-driven pathophysiology is an in vivo consequence of the red blood cell storage lesion that can be attenuated in guinea pigs by haptoglobin therapy. Journal of Clinical Investigation. 122(4). 1444–1458. 228 indexed citations

11.

Brody, J S & Matthew C. Williams. (1992). Pulmonary Alveolar Epithelial Cell Differentiation. Annual Review of Physiology. 54(1). 351–371. 61 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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