Maria F. Lima
- Epidemiology top 5%
- Trypanosoma species research and implications 50
- Parasitology top 5%
- Immunology top 10%
- Galectins and Cancer Biology 9
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- Research on Leishmaniasis Studies 27
- Microbiology top 5%
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- Cardiomyopathy and Myosin Studies 8
- Viral Infections and Immunology Research 5
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- Biochemical and Molecular Research 6
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- Synthesis and Biological Evaluation 5
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Fernando VillaltaF KierszenbaumPius N. NdeSiddharth PratapYuliya Y. KleshchenkoYuan ZhangJohn C. KappesCandice Johnson
- Cited by
- EpidemiologyParasitologyImmunology
- Journals
- Infection and Immunity (8 papers)Biochemical and Biophysical Research Communications (5 papers)PLoS neglected tropical diseases (4 papers)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Maria F. Lima
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Epidemiology 776
- Parasitology 127
- Immunology 375
- Public Health, Environmental and Occupational Health 510
- Microbiology 89
Countries citing papers authored by Maria F. Lima
This map shows the geographic impact of Maria F. 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 F. 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 F. Lima more than expected).
Fields of papers citing papers by Maria F. Lima
This network shows the impact of papers produced by Maria F. 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 F. Lima. The network helps show where Maria F. Lima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria F. 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 | 2022 | 5 | |
| 2 | 2020 | 4 | |
| 3 | 2018 | 17 | |
| 4 | 2016 | 7 | |
| 5 | 2014 | 17 | |
| 6 | 2012 | 22 | |
| 7 | 2011 | 2 | |
| 8 | 2010 | 12 | |
| 9 | 2010 | 15 | |
| 10 | 2006 | 12 | |
| 11 | 2002 | 20 | |
| 12 | 2001 | 29 | |
| 13 | 1998 | 35 | |
| 14 | 1993 | 16 | |
| 15 | 1992 | 24 | |
| 16 | 1990 | 44 | |
| 17 | 1990 | 21 | |
| 18 | 1989 | 70 | |
| 19 | 1988 | 24 | |
| 20 | 1988 | 12 |
About Maria F. Lima
Maria F. Lima is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Physiology, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (50 papers), Research on Leishmaniasis Studies (27 papers), Galectins and Cancer Biology (9 papers), Cardiomyopathy and Myosin Studies (8 papers), Biochemical and Molecular Research (6 papers), Viral Infections and Immunology Research (5 papers), Synthesis and Biological Evaluation (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Epidemiology (776 citations), Parasitology (127 citations) and Immunology (375 citations). Maria F. Lima has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Fernando Villalta, F Kierszenbaum, Pius N. Nde, Siddharth Pratap, Yuliya Y. Kleshchenko, Yuan Zhang, John C. Kappes, Candice Johnson, Girish Rachakonda and James M. Burns. Their work appears in journals such as Infection and Immunity, Biochemical and Biophysical Research Communications, PLoS neglected tropical diseases, International Journal of Molecular Sciences and Molecular and Biochemical Parasitology.
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.