M.L. Nava

739 citations
11 papers · 659 · h-index 6

Impact in

  • Surgery top 5%
    • Lipoproteins and Cardiovascular Health
    • Cholesterol and Lipid Metabolism
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Pharmacogenetics and Drug Metabolism 4
    • Inflammatory mediators and NSAID effects 3
    • Lipoproteins and Cardiovascular Health 3
    • Cholesterol and Lipid Metabolism 2
    • Anesthesia and Pain Management 2
    • Anorectal Disease Treatments and Outcomes 1
    • Cardiac and Coronary Surgery Techniques 1

M.L. Nava

11 papers receiving 615 citations

Peers

M.L. Nava
Comparison fields: 5 of 45
  • Surgery 515
  • Immunology 68
  • Cardiology and Cardiovascular Medicine 57
  • Hematology 29
  • Endocrinology, Diabetes and Metabolism 36
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Countries citing papers authored by M.L. Nava

Since Specialization
Citations

This map shows the geographic impact of M.L. Nava'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. Nava 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. Nava more than expected).

Fields of papers citing papers by M.L. Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside M.L. Nava, 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. Nava Line = papers co-authored together M.L. Nava links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1990231
2 1989226
3 1986116
4 197633
5
First dose and steady state pharmacokinetics of nimesulide and its 4-hydroxy metabolite in healthy volunteers.
199124
6 199311
7 19936
8 19935
9 19934
10 19882
11
Effects of chronic tiadenol administration on liver microsomal cytochrome P-450 and associated monooxygenases in the rat.
19831

About M.L. Nava

M.L. Nava is a scholar working on Pharmacology, Pharmacology, Surgery, Geriatrics and Gerontology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 659 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Inflammatory mediators and NSAID effects (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Cholesterol and Lipid Metabolism (2 papers), Anesthesia and Pain Management (2 papers), Anorectal Disease Treatments and Outcomes (1 paper), Lipid metabolism and disorders (1 paper) and Cardiac and Coronary Surgery Techniques (1 paper). The work is most often cited by research in Surgery (515 citations), Immunology (68 citations), Cardiology and Cardiovascular Medicine (57 citations), Hematology (29 citations) and Endocrinology, Diabetes and Metabolism (36 citations). M.L. Nava has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include John W. Gaubatz, Joel D. Morrisett, John R. Guyton, Wolfgang Patsch, Juan Guevara, Mohan V. Chari, Michael E. DeBakey, Thomas M A Bocan, Donald Weilbaecher and Gerald M. Lawrie. Their work appears in journals such as Drugs, Journal of Lipid Research, European Journal of Clinical Investigation, Pharmacological Research Communications and PubMed.

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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