Leo E. Bonilla

764 citations
13 papers · 659 · h-index 12

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • Glycosylation and Glycoproteins Research
    • Genomics, phytochemicals, and oxidative stress

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Advanced Proteomics Techniques and Applications 6
    • Mass Spectrometry Techniques and Applications 4

Leo E. Bonilla

13 papers receiving 635 citations

Peers

Leo E. Bonilla
Comparison fields: 5 of 88
  • Spectroscopy 262
  • Molecular Biology 426
  • Biochemistry 34
  • Immunology 99
  • Physiology 113
Replace Navin Rauniyar with:
Navin Rauniyar United States
Anna Zawadzka Poland
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Jon P. DeGnore United States
Francesco M. Megli Italy
Thomas Züllig Austria
Cristina Coman Germany
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Citations per field
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Citations per year

Countries citing papers authored by Leo E. Bonilla

Since Specialization
Citations

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

Fields of papers citing papers by Leo E. Bonilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2003199
2 2001112
3 200593
4
A metabolite of the tobacco-specific lung carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone in the urine of hospital workers exposed to environmental tobacco smoke.
199858
5 199948
6 201036
7 199730
8 200820
9 201017
10 200814
11 199814
12
Food for Thought … Systems Toxicology
201212
13 20126

About Leo E. Bonilla

Leo E. Bonilla is a scholar working on Molecular Biology, Spectroscopy, Physiology, Health, Toxicology and Mutagenesis and Immunology, having authored 13 papers that have together received 659 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (4 papers), Smoking Behavior and Cessation (2 papers), Indoor Air Quality and Microbial Exposure (2 papers), Glycosylation and Glycoproteins Research (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Spectroscopy (262 citations), Molecular Biology (426 citations), Biochemistry (34 citations), Immunology (99 citations) and Physiology (113 citations). Leo E. Bonilla has collaborated with scholars based in United States, Canada and Ukraine. Frequent co-authors include David R. Barnidge, Arnold W. Lindall, Edward A. Dratz, Stephen S. Hecht, William S. Hancock, Ziping Yang, Kevin H. Mayo, Stanley L. Hazen, Vikram Roongta and Arne Slungaard. Their work appears in journals such as Chemical Research in Toxicology, PROTEOMICS, Analytical Chemistry, Journal of Proteome Research and PROTEOMICS - CLINICAL APPLICATIONS.

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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