M. Matilde Marques

103 papers receiving 2.9k citations

Peers

M. Matilde Marques
Comparison fields: 5 of 121
  • Cancer Research 638
  • Pharmacology 315
  • Food Science 531
  • Toxicology 63
  • Virology 83
Replace Olaf Kunert with:
Olaf Kunert Austria
Jatinder Singh India
Jérôme Eberhardt United States
Hiroyuki Morita Japan
Maciej Czerwiński United States
Miguel Payá Spain
Achintya Saha India
Edmond J. LaVoie United States
Haruhiro Okuda Japan
Mitchell A. Avery United States
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Citations per field
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Citations per year

Countries citing papers authored by M. Matilde Marques

Since Specialization
Citations

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

Fields of papers citing papers by M. Matilde Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Matilde Marques, 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. Matilde Marques Line = papers co-authored together M. Matilde Marques links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003223
2 2018165
3 2003128
4 2002118
5 2012110
6 201380
7 200480
8
Characterization of benzo(a)pyrene-trans-7,8-dihydrodiol glucuronidation by human tissue microsomes and overexpressed UDP-glucuronosyltransferase enzymes.
200279
9 199875
10 200673
11 199865
12 199462
13 201059
14 200458
15 202053
16 199253
17 200952
18 199752
19 199450
20 201246

About M. Matilde Marques

M. Matilde Marques is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Cancer Research and Pharmacology, having authored 107 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (21 papers), Carcinogens and Genotoxicity Assessment (16 papers), DNA and Nucleic Acid Chemistry (14 papers), HIV Research and Treatment (11 papers), Pneumocystis jirovecii pneumonia detection and treatment (10 papers), Pharmacogenetics and Drug Metabolism (10 papers), Potato Plant Research (9 papers) and Estrogen and related hormone effects (9 papers). The work is most often cited by research in Cancer Research (638 citations), Pharmacology (315 citations), Food Science (531 citations), Toxicology (63 citations) and Virology (83 citations). M. Matilde Marques has collaborated with scholars based in Portugal, United States and United Kingdom. Frequent co-authors include Frederick A. Beland, Daniel R. Doerge, Mona I. Churchwell, Gonçalo Gamboa da Costa, Alexandra M. M. Antunes, Rita C. Guedes, Linda S. Von Tungeln, Bongsup P. Cho, Gonçalo C. Justino and Lynne Hamilton. Their work appears in journals such as Chemical Research in Toxicology, Toxicology Letters, Molecules, Journal of Agricultural and Food Chemistry and Carcinogenesis.

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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