Richard H. Matthews

1.5k total citations
43 papers, 1.2k citations indexed

About

Richard H. Matthews is a scholar working on Molecular Biology, Biochemistry and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Richard H. Matthews has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Biochemistry and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Richard H. Matthews's work include Amino Acid Enzymes and Metabolism (13 papers), Polyamine Metabolism and Applications (9 papers) and Enzyme function and inhibition (8 papers). Richard H. Matthews is often cited by papers focused on Amino Acid Enzymes and Metabolism (13 papers), Polyamine Metabolism and Applications (9 papers) and Enzyme function and inhibition (8 papers). Richard H. Matthews collaborates with scholars based in United States and Canada. Richard H. Matthews's co-authors include Nuran Erçal, Douglas R. Spitz, Terese Hammond, Janusz Żukowski, Jerome C. Landry, John P. Minton, Mary Koshy, Charles R. Thomas, David G. Cornwell and Eleanor D. Montague and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Biochemistry and Analytical Biochemistry.

In The Last Decade

Richard H. Matthews

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard H. Matthews United States 19 375 222 184 175 155 43 1.2k
M. A. Trush United States 20 661 1.8× 79 0.4× 124 0.7× 140 0.8× 82 0.5× 38 1.5k
Gian Franco Gaetani Italy 19 789 2.1× 96 0.4× 123 0.7× 109 0.6× 108 0.7× 45 1.9k
Subbarao V. Kala United States 20 612 1.6× 227 1.0× 164 0.9× 367 2.1× 85 0.5× 28 1.6k
Luisa Airoldi Italy 25 672 1.8× 124 0.6× 133 0.7× 376 2.1× 168 1.1× 100 1.7k
Donald Nagel United States 25 565 1.5× 167 0.8× 266 1.4× 154 0.9× 140 0.9× 76 1.6k
Manfred Kiese Germany 25 561 1.5× 333 1.5× 120 0.7× 126 0.7× 67 0.4× 114 1.9k
J Kuhlenkamp United States 24 708 1.9× 495 2.2× 312 1.7× 77 0.4× 210 1.4× 39 1.9k
Munekazu Gemba Japan 20 497 1.3× 149 0.7× 244 1.3× 53 0.3× 92 0.6× 93 1.4k
James H. Elwell United States 15 464 1.2× 192 0.9× 54 0.3× 70 0.4× 99 0.6× 20 1.2k
Jan Kovář Czechia 27 1.1k 2.8× 113 0.5× 378 2.1× 86 0.5× 221 1.4× 160 2.3k

Countries citing papers authored by Richard H. Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Richard H. Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard H. Matthews. 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 Richard H. Matthews. The network helps show where Richard H. Matthews may publish in the future.

Co-authorship network of co-authors of Richard H. Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Richard H. Matthews. A scholar is included among the top collaborators of Richard H. Matthews 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 Richard H. Matthews. Richard H. Matthews 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.
Matthews, Richard H., Cigall Kadoch, & Nuran Erçal. (2009). Alcohol as a potential contributing factor in radiation complications.. PubMed. 7(4). 257–62. 1 indexed citations
2.
Wu, Wei, et al.. (2008). Effects of N-acetylcysteine amide (NACA), a thiol antioxidant on radiation-induced cytotoxicity in Chinese hamster ovary cells. Life Sciences. 82(21-22). 1122–1130. 46 indexed citations
3.
Ogony, Joshua, Richard H. Matthews, Helen Anni, Katie B. Shannon, & Nuran Erçal. (2007). The mechanism of elevated toxicity in HepG2 cells due to combined exposure to ethanol and ionizing radiation. Journal of Applied Toxicology. 28(3). 345–355. 11 indexed citations
4.
Wu, Wei, et al.. (2005). Separation and quantification of N‐acetyl‐l‐cysteine and N‐acetyl‐cysteine‐amide by HPLC with fluorescence detection. Biomedical Chromatography. 20(5). 415–422. 42 indexed citations
5.
Mahadevan, Anand, et al.. (2005). T-Cell Lymphoma of the Rectum in a Patient with AIDS and Hepatitis C: A Case Report and Discussion. The Oncologist. 10(4). 292–298. 2 indexed citations
6.
7.
Erçal, Nuran, et al.. (1996). In vivo indices of oxidative stress in lead-exposed C57BL/6 mice are reduced by treatment with meso-2,3-Dimercaptosuccinic Acid or N-acetylcysteine. Free Radical Biology and Medicine. 21(2). 157–161. 155 indexed citations
8.
Erçal, Nuran, et al.. (1996). N-acetylcysteine protects Chinese hamster ovary (CHO) cells from lead-induced oxidative stress. Toxicology. 108(1-2). 57–64. 47 indexed citations
9.
Erçal, Nuran, et al.. (1996). In vitro study of the metabolic effects ofD-amino acids. Chirality. 8(1). 24–29. 35 indexed citations
10.
Erçal, Nuran, et al.. (1996). Analysis of thiol-containing compounds in biological samples by capillary zone electrophoresis. Biomedical Chromatography. 10(1). 15–18. 14 indexed citations
11.
Erçal, Nuran, Serdar Öztezcan, Terese Hammond, Richard H. Matthews, & Douglas R. Spitz. (1996). High-performance liquid chromatography assay for N-acetylcysteine in biological samples following derivatization with N-(1-pyrenyl)maleimide. Journal of Chromatography B Biomedical Sciences and Applications. 685(2). 329–334. 36 indexed citations
12.
13.
Matthews, Richard H., et al.. (1988). Prognostic implications of age in breast cancer patients treated with tumorectomy and irradiation or with mastectomy. International Journal of Radiation Oncology*Biology*Physics. 14(4). 659–663. 88 indexed citations
14.
Matthews, Richard H., et al.. (1983). Effects of bromosulfophthalein on structure and function of the plasma membrane of S37 ascites tumor cells. Bioelectrochemistry and Bioenergetics. 10(1). 75–85. 2 indexed citations
15.
Matthews, Richard H., et al.. (1980). Inhibition of S37 ascites cell amino acid transport systems by α-chloromethylketone analogs. Biochimica et Biophysica Acta (BBA) - Biomembranes. 601(3). 640–653. 3 indexed citations
16.
Matthews, Richard H., et al.. (1977). Effects of cysteine upon tumor cells.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2(2). 65–9. 1 indexed citations
17.
Matthews, Richard H., et al.. (1976). Estimation of surface area and counterion binding characteristics in fatty amine monolayers from desorption kinetics. Journal of Lipid Research. 17(3). 197–202. 20 indexed citations
18.
Matthews, Richard H., Deborah Dewar, & Thomas E. Webb. (1976). In vivo synchronization of murine sarcoma 37 ascites tumor cells by use of hydroxyurea.. PubMed. 8(2). 151–5. 2 indexed citations
19.
Matthews, Richard H., et al.. (1975). Biphasic kinetic plots and specific analogs distinguishing and describing amino acid transport sites in S37 ascites tumor cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 394(2). 182–192. 24 indexed citations
20.
Matthews, Richard H., et al.. (1973). Kinetics of the processes of desorption from fatty acid monolayers. Journal of Lipid Research. 14(1). 26–31. 30 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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