M.L. Bernal

18 papers receiving 456 citations

Peers

M.L. Bernal
Comparison fields: 5 of 80
  • Genetics 113
  • Pharmacology 74
  • Cancer Research 82
  • Urology 28
  • Chemical Health and Safety 3
Replace Sylvia A. Chung with:
Sylvia A. Chung Australia
Midori Kojima Japan
Kento Nishida Japan
Prem P. Dwivedi Australia
Yeqing Huang China
Kotaro Azuma Japan
Emily A. Stevens United States
Lige Song China
Miaoqin She China
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M.L. Bernal relative to Sylvia A. Chung Australia Sylvia A. Chung's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.L. Bernal

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Bernal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Bernal. 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 M.L. Bernal. The network helps show where M.L. Bernal may publish in the future.

Co-authors

The 25 scholars most cited alongside M.L. Bernal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.L. Bernal Line = papers co-authored together M.L. Bernal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2011134
2 200367
3 199555
4 200754
5
Five caffeine metabolite ratios to measure tobacco-induced CYP1A2 activity and their relationships with urinary mutagenicity and urine flow.
199930
6 199125
7 199119
8
Urinary mutagenicity and N-acetylation phenotype in textile industry workers exposed to arylamines.
199217
9
Co-morbidity in Gaucher's disease results of a nationwide enquiry in Spain.
200015
10 199513
11 20219
12
Lethal faciocardiomelic dysplasia- a new autosomal recessive disorder.
19759
13 20167
14 19944
15 20053
16 20062
17
[Hydronephrosis and urinary retention secondary to extrinsic compression by an ovarian cyst in a girl].
19922
18 20201
19 20201
20 20240

About M.L. Bernal

M.L. Bernal is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis, having authored 20 papers that have together received 467 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Toxic Organic Pollutants Impact (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Genetics (113 citations), Pharmacology (74 citations), Cancer Research (82 citations), Urology (28 citations) and Chemical Health and Safety (3 citations). M.L. Bernal has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include B. Sinués, E Mayayo, M.A. Sáenz, Francisco José Vázquez, Inmaculada Martín‐Burriel, Ana Rosa Remacha, C. Rodellar, P. Zaragoza, Jaber Lyahyai and Antonio Romero. Their work appears in journals such as BioMed Research International, Journal of Toxicology and Environmental Health, PLoS ONE, Therapeutic Drug Monitoring and Veterinary Immunology and Immunopathology.

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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