J Meneses

791 total citations
8 papers, 632 citations indexed

About

J Meneses is a scholar working on Molecular Biology, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, J Meneses has authored 8 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in J Meneses's work include Effects and risks of endocrine disrupting chemicals (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). J Meneses is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). J Meneses collaborates with scholars based in United States and China. J Meneses's co-authors include Roger A. Pedersen, Annie Andrieux, C H Damsky, Ann Sutherland, Laurie Stephens, Irina Klimanskaya, Sheila M. Galloway, Daniel W. Nebert, Paul E. Perry and Kunlin Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Blood.

In The Last Decade

J Meneses

8 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Meneses United States 5 348 281 164 110 104 8 632
Guolin Tan China 18 296 0.9× 478 1.7× 42 0.3× 116 1.1× 61 0.6× 66 1.0k
Carol Halloran United States 9 119 0.3× 140 0.5× 53 0.3× 52 0.5× 27 0.3× 11 730
Iordanka A. Ivanova Canada 14 262 0.8× 55 0.2× 86 0.5× 78 0.7× 54 0.5× 21 497
Lilian Montero Switzerland 6 300 0.9× 70 0.2× 81 0.5× 213 1.9× 59 0.6× 8 557
Massimo Teson Italy 13 477 1.4× 40 0.1× 113 0.7× 166 1.5× 46 0.4× 19 726
Rieko Yagi United States 9 533 1.5× 19 0.1× 201 1.2× 61 0.6× 42 0.4× 12 766
Olga F. Sarmento United States 13 577 1.7× 57 0.2× 37 0.2× 143 1.3× 280 2.7× 18 867
Hyeongil Kwak United States 14 338 1.0× 60 0.2× 145 0.9× 99 0.9× 102 1.0× 16 546
Hirohiko Fujii Japan 8 198 0.6× 17 0.1× 56 0.3× 36 0.3× 154 1.5× 13 664
Heinz Reiske United States 6 323 0.9× 376 1.3× 278 1.7× 97 0.9× 60 0.6× 8 628

Countries citing papers authored by J Meneses

Since Specialization
Citations

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

Fields of papers citing papers by J Meneses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Meneses

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

All Works

8 of 8 papers shown
1.
Luo, Zhi, Rongrong Zhou, Junxiang Zhao, et al.. (2024). Relationship Between Whole Blood Iron Levels and Lipid Profile Parameters in the General Population: Findings from Routine Physical Examination Report. Biological Trace Element Research. 203(7). 3678–3684. 2 indexed citations
2.
Kawi, Jennifer, et al.. (2018). Association between global DNA methylation and exercise in chronic low back pain. Journal of Pain. 19(3). S103–S104. 2 indexed citations
3.
Chang, Judy C., et al.. (1996). Inactivation of mouse alpha-globin gene by homologous recombination: mouse model of hemoglobin H disease. Blood. 88(5). 1846–1851. 19 indexed citations
4.
Chang, Jean L., et al.. (1996). Inactivation of mouse alpha-globin gene by homologous recombination: mouse model of hemoglobin H disease. Blood. 88(5). 1846–1851. 3 indexed citations
5.
Stephens, Laurie, Ann Sutherland, Irina Klimanskaya, et al.. (1995). Deletion of beta 1 integrins in mice results in inner cell mass failure and peri-implantation lethality.. Genes & Development. 9(15). 1883–1895. 490 indexed citations
6.
Meneses, J, et al.. (1985). Cytochrome P-450 metabolic activity in embryonic and extraembryonic tissue lineages of mouse embryos.. Proceedings of the National Academy of Sciences. 82(10). 3311–3315. 25 indexed citations
7.
Galloway, Sheila M., Paul E. Perry, J Meneses, Daniel W. Nebert, & Roger A. Pedersen. (1980). Cultured mouse embryos metabolize benzo[a]pyrene during early gestation: genetic differences detectable by sister chromatid exchange.. Proceedings of the National Academy of Sciences. 77(6). 3524–3528. 87 indexed citations
8.
Goldstein, Lawrence S.B., J Meneses, & Roger A. Pedersen. (1978). Dose—response relationship for X-ray-induced dominant lethal mutations detected in mouse embryos in vitro. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 51(1). 55–59. 4 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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