Marcelo A. Lima
Impact in
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research
- Internal Medicine top 5%
Papers in
- Cell Biology 39
- Proteoglycans and glycosaminoglycans research 37
- Co-authors
- Helena B. NaderEdwin A. YatesTimothy R. RuddMaria Cecília Zorél MeneghettiAshley J. HughesAndrew K. PowellMark A. SkidmoreSuely F. Chavante
- Journals
- Carbohydrate Polymers (6 papers)Carbohydrate Research (5 papers)PLoS ONE (4 papers)Organic & Biomolecular Chemistry (3 papers)Molecules (2 papers)
- Partner nations
- BrazilUnited KingdomItaly
In The Last Decade
Marcelo A. Lima
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Cell Biology 526
- Internal Medicine 70
- Aquatic Science 114
- Biotechnology 105
- Infectious Diseases 186
Countries citing papers authored by Marcelo A. Lima
This map shows the geographic impact of Marcelo A. 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 Marcelo A. Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo A. Lima more than expected).
Fields of papers citing papers by Marcelo A. Lima
This network shows the impact of papers produced by Marcelo A. 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 Marcelo A. Lima. The network helps show where Marcelo A. Lima may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcelo A. 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 | 2025 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 34 | |
| 10 | 2020 | 62 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 6 | |
| 13 | 2019 | 9 | |
| 14 | Exosomes-mediate Micrornas Transfer In Breast Cancer Chemoresistance Regulation | 2016 | 40 |
| 15 | 2014 | 21 | |
| 16 | 2013 | 9 | |
| 17 | 2013 | 35 | |
| 18 | 2013 | 20 | |
| 19 | 2012 | 17 | |
| 20 | Intravitreous Heparin-Like Glycosaminoglycan Isolated From a Marine Shrimp Induces Regression of Experimental Choroidal Neovascularization | 2009 | 1 |
About Marcelo A. Lima
Marcelo A. Lima is a scholar working on Cell Biology, Internal Medicine, Biotechnology, Equine and Aquatic Science, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (37 papers), Glycosylation and Glycoproteins Research (21 papers), Carbohydrate Chemistry and Synthesis (10 papers), Marine Sponges and Natural Products (7 papers), Heparin-Induced Thrombocytopenia and Thrombosis (6 papers), Alzheimer's disease research and treatments (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Protease and Inhibitor Mechanisms (5 papers). The work is most often cited by research in Cell Biology (526 citations), Internal Medicine (70 citations), Aquatic Science (114 citations), Biotechnology (105 citations) and Infectious Diseases (186 citations). Marcelo A. Lima has collaborated with scholars based in Brazil, United Kingdom and Italy. Frequent co-authors include Helena B. Nader, Edwin A. Yates, Timothy R. Rudd, Maria Cecília Zorél Meneghetti, Ashley J. Hughes, Andrew K. Powell, Mark A. Skidmore, Suely F. Chavante, Marco Guerrini and Ivarne L.S. Tersariol. Their work appears in journals such as Carbohydrate Polymers, Carbohydrate Research, PLoS ONE, Organic & Biomolecular Chemistry and Molecules.
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.