Maria Lima
Impact in
- Clinical Biochemistry top 2%
- Advanced Glycation End Products research
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 3
- Muscle Physiology and Disorders 2
- Gut microbiota and health 2
-
- Advanced Glycation End Products research 4
- Co-authors
- Jennifer M. Ames (3 shared papers)Shima Assar (2 shared papers)John Baynes (2 shared papers)Norma Frizzell (1 shared paper)Lorenza Conterno (2 shared papers)Mattia Gasperotti (1 shared paper)Urška Vrhovšek (1 shared paper)Julie A. Lovegrove (2 shared papers)
- Journals
- Amino Acids (2 papers)Journal of Agricultural and Food Chemistry (1 paper)Journal of Food Composition and Analysis (1 paper)Free Radical Research (1 paper)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Maria Lima
8 papers receiving 452 citations
Peers
Comparison fields: 5 of 63
- Clinical Biochemistry 197
- Biochemistry 57
- Endocrinology, Diabetes and Metabolism 97
- Physiology 123
- Food Science 78
Countries citing papers authored by Maria Lima
This map shows the geographic impact of Maria Lima'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 Maria Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Lima more than expected).
Fields of papers citing papers by Maria Lima
This network shows the impact of papers produced by Maria Lima. 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 Maria Lima. The network helps show where Maria Lima may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Lima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 179 | |
| 2 | 2017 | 108 | |
| 3 | 2013 | 48 | |
| 4 | 2010 | 46 | |
| 5 | 2009 | 34 | |
| 6 | 2018 | 18 | |
| 7 | 2008 | 17 | |
| 8 | 2013 | 11 | |
| 9 | 2025 | 0 | |
| 10 | 2014 | 0 |
About Maria Lima
Maria Lima is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Plant Science and Pathology and Forensic Medicine, having authored 10 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Muscle Physiology and Disorders (2 papers), Gut microbiota and health (2 papers), Food composition and properties (1 paper), Microbial Metabolites in Food Biotechnology (1 paper), Biochemical effects in animals (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Clinical Biochemistry (197 citations), Biochemistry (57 citations), Endocrinology, Diabetes and Metabolism (97 citations), Physiology (123 citations) and Food Science (78 citations). Maria Lima has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Jennifer M. Ames, Shima Assar, John Baynes, Norma Frizzell, Lorenza Conterno, Mattia Gasperotti, Urška Vrhovšek, Julie A. Lovegrove, Kieran Tuohy and Francesca Fava. Their work appears in journals such as Amino Acids, Journal of Agricultural and Food Chemistry, Journal of Food Composition and Analysis, Free Radical Research and Applied Microbiology and Biotechnology.
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.