Carlos E. Vaca

1.8k total citations
32 papers, 1.5k citations indexed

About

Carlos E. Vaca is a scholar working on Molecular Biology, Biochemistry and Cancer Research. According to data from OpenAlex, Carlos E. Vaca has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Biochemistry and 7 papers in Cancer Research. Recurrent topics in Carlos E. Vaca's work include Carcinogens and Genotoxicity Assessment (7 papers), Antioxidant Activity and Oxidative Stress (7 papers) and Free Radicals and Antioxidants (5 papers). Carlos E. Vaca is often cited by papers focused on Carcinogens and Genotoxicity Assessment (7 papers), Antioxidant Activity and Oxidative Stress (7 papers) and Free Radicals and Antioxidants (5 papers). Carlos E. Vaca collaborates with scholars based in Sweden, Finland and United States. Carlos E. Vaca's co-authors include Mats Harms‐Ringdahl, Jia‐Long Fang, J Wilhelm, Marja Mutanen, Liisa Valsta, Ronald Simón, Gary M. Pepper, Anita Soni, Elke K. H. Schweda and Margareta Törnqvist and has published in prestigious journals such as The American Journal of Medicine, Archives of Biochemistry and Biophysics and Carcinogenesis.

In The Last Decade

Carlos E. Vaca

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos E. Vaca Sweden 17 542 424 221 187 173 32 1.5k
Michael A. Pereira United States 25 759 1.4× 445 1.0× 123 0.6× 134 0.7× 302 1.7× 66 2.0k
Jun‐Yan Hong United States 26 1.2k 2.3× 457 1.1× 151 0.7× 112 0.6× 324 1.9× 59 3.0k
Jean‐Charles Gautier France 27 852 1.6× 269 0.6× 132 0.6× 62 0.3× 137 0.8× 60 2.8k
Lysiane Richert France 33 810 1.5× 239 0.6× 202 0.9× 175 0.9× 110 0.6× 129 3.1k
Dhanapal Sakthisekaran India 23 883 1.6× 217 0.5× 151 0.7× 132 0.7× 106 0.6× 51 2.6k
Mark A. Tirmenstein United States 20 547 1.0× 138 0.3× 141 0.6× 150 0.8× 66 0.4× 39 1.5k
Wolfgang W. Huber Austria 22 829 1.5× 375 0.9× 58 0.3× 118 0.6× 252 1.5× 32 2.0k
Katarina Augustsson Sweden 15 320 0.6× 655 1.5× 102 0.5× 558 3.0× 144 0.8× 17 2.2k
Kenichiro Ogura Japan 29 960 1.8× 142 0.3× 202 0.9× 101 0.5× 121 0.7× 69 2.1k
Katarı́na Rašlová Slovakia 17 445 0.8× 423 1.0× 389 1.8× 126 0.7× 49 0.3× 46 1.6k

Countries citing papers authored by Carlos E. Vaca

Since Specialization
Citations

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

Fields of papers citing papers by Carlos E. Vaca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos E. Vaca. 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 Carlos E. Vaca. The network helps show where Carlos E. Vaca may publish in the future.

Co-authorship network of co-authors of Carlos E. Vaca

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos E. Vaca. A scholar is included among the top collaborators of Carlos E. Vaca 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 Carlos E. Vaca. Carlos E. Vaca 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.
2.
Granath, Fredrik, Carlos E. Vaca, L. Ehrenberg, & Margareta Törnqvist. (1999). Cancer risk estimation of genotoxic chemicals based on target dose and a multiplicative model.. Risk Analysis. 19(2). 309–320. 56 indexed citations
3.
Vaca, Carlos E., Jan Nilsson, Jia‐Long Fang, & Roland C. Grafström. (1998). Formation of DNA adducts in human buccal epithelial cells exposed to acetaldehyde and methylglyoxal in vitro. Chemico-Biological Interactions. 108(3). 197–208. 57 indexed citations
4.
Fang, Jia‐Long, Carlos E. Vaca, Liisa Valsta, & Marja Mutanen. (1996). Determination of DNA adducts of malonaldehyde in humans: effects of dietary fatty acid composition. Carcinogenesis. 17(5). 1035–1040. 115 indexed citations
5.
Vaca, Carlos E., Jia‐Long Fang, & Elke K. H. Schweda. (1995). Studies of the reaction of acetaldehyde with deoxynucleosides. Chemico-Biological Interactions. 98(1). 51–67. 70 indexed citations
6.
Vaca, Carlos E., Jia‐Long Fang, Marja Mutanen, & Liisa Valsta. (1995). 32P-Postlabelling determination of DNA adducts of malonadlehyde in humans: total white blood cells and breast tissue. Carcinogenesis. 16(8). 1847–1851. 61 indexed citations
7.
8.
Hou, Sai‐Mei, et al.. (1995). Methylglyoxal induces hprt mutation and DNA adducts in human T‐lymphocytes in vitro. Environmental and Molecular Mutagenesis. 26(4). 286–291. 16 indexed citations
9.
Soni, Anita, et al.. (1995). Adrenal insufficiency occurring during septic shock: incidence, outcome, and relationship to peripheral cytokine levels. The American Journal of Medicine. 98(3). 266–271. 209 indexed citations
10.
Szyfter, Krzysztof, et al.. (1994). 32P-Postlabelling analysis of DNA adducts in humans: adduct distribution and method improvement. Mutation Research/Environmental Mutagenesis and Related Subjects. 313(2-3). 269–276. 13 indexed citations
11.
Vaca, Carlos E., et al.. (1994). Development of a 32P-postlabelling method for the analysis of 2'-deoxyguanosine-3'-monophosphate and DNA adducts of methylglyoxal. Carcinogenesis. 15(9). 1887–1894. 53 indexed citations
12.
Kautiainen, Antti, Carlos E. Vaca, & Fredrik Granath. (1993). Studies on the relationship between hemoglobin and DNA adducts of malonaldehyde and their stability in vivo. Carcinogenesis. 14(4). 705–708. 19 indexed citations
13.
Hemminki, Kari, et al.. (1993). Testing of quantitative parameters in the 32P-postlabelling method.. PubMed. 51–63. 12 indexed citations
14.
Vaca, Carlos E., et al.. (1992). Some quantitative considerations about DNA adduct enrichment procedures for 32P-postlabelling. Carcinogenesis. 13(12). 2463–2466. 5 indexed citations
15.
Vaca, Carlos E. & Mats Harms‐Ringdahl. (1989). Interaction of lipid peroxidation products with nuclear macromolecules. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1001(1). 35–43. 37 indexed citations
16.
Vaca, Carlos E. & Mats Harms‐Ringdahl. (1989). Nuclear membrane lipid peroxidation products bind to nuclear macromolecules. Archives of Biochemistry and Biophysics. 269(2). 548–554. 13 indexed citations
17.
Vaca, Carlos E., J Wilhelm, & Mats Harms‐Ringdahl. (1988). Interaction of lipid peroxidation products with DNA. A review. Mutation Research/Reviews in Genetic Toxicology. 195(2). 137–149. 394 indexed citations
18.
Harms‐Ringdahl, Mats, Björn Anderstam, & Carlos E. Vaca. (1987). Heat-induced Changes in the Incorporation of [H 3 ]acetate in Membrane Lipids. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 52(2). 315–324. 5 indexed citations
19.
Vaca, Carlos E., et al.. (1986). Lipid peroxidation in the rat-liver S9 fraction: Influence of membrane lipid composition. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 162(1). 21–32. 8 indexed citations
20.
Vaca, Carlos E. & Mats Harms‐Ringdahl. (1986). Radiation-induced lipid peroxidation in whole grain of rye, wheat and rice: Effects on linoleic and linolenic acid. International Journal of Radiation Applications and Instrumentation Part C Radiation Physics and Chemistry. 28(3). 325–330. 6 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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