Pablo Pinto
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Cell death mechanisms and regulation
Papers in
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- Machine Learning in Bioinformatics 1
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- Mycobacterium research and diagnosis 4
- Co-authors
- Ândrea Ribeiro‐dos‐Santos (14 shared papers)Amanda Ferreira Vidal (6 shared papers)Giovanna C. Cavalcante (5 shared papers)Sidney Emanuel Batista dos Santos (8 shared papers)Paulo Pimentel de Assumpção (7 shared papers)Leandro Magalhães (4 shared papers)Sâmia Demachki (3 shared papers)Ney Pereira Carneiro dos Santos (6 shared papers)
- Journals
- Scientific Reports (3 papers)Frontiers in Genetics (2 papers)International Journal of Molecular Sciences (2 papers)PLoS ONE (2 papers)International Journal of Infectious Diseases (1 paper)
- Partner nations
- BrazilUnited States
In The Last Decade
Pablo Pinto
15 papers receiving 300 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 88
- Molecular Biology 179
- Pathology and Forensic Medicine 38
- Pharmacology 14
- Infectious Diseases 24
Countries citing papers authored by Pablo Pinto
This map shows the geographic impact of Pablo Pinto'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 Pablo Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Pinto more than expected).
Fields of papers citing papers by Pablo Pinto
This network shows the impact of papers produced by Pablo Pinto. 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 Pablo Pinto. The network helps show where Pablo Pinto may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Pinto, 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 | 2019 | 165 | |
| 2 | 2017 | 29 | |
| 3 | 2020 | 21 | |
| 4 | 2019 | 18 | |
| 5 | 2020 | 17 | |
| 6 | 2016 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2013 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2012 | 7 | |
| 11 | 2021 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 |
About Pablo Pinto
Pablo Pinto is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Infectious Diseases and Immunology, having authored 15 papers that have together received 304 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Mycobacterium research and diagnosis (4 papers), Tuberculosis Research and Epidemiology (3 papers), Cancer-related molecular mechanisms research (3 papers), Leprosy Research and Treatment (2 papers), Forensic and Genetic Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cancer Research (88 citations), Molecular Biology (179 citations), Pathology and Forensic Medicine (38 citations), Pharmacology (14 citations) and Infectious Diseases (24 citations). Pablo Pinto has collaborated with scholars based in Brazil and United States. Frequent co-authors include Ândrea Ribeiro‐dos‐Santos, Amanda Ferreira Vidal, Giovanna C. Cavalcante, Sidney Emanuel Batista dos Santos, Paulo Pimentel de Assumpção, Leandro Magalhães, Sâmia Demachki, Ney Pereira Carneiro dos Santos, Mara Helena Hutz and Cláudio Guedes Salgado. Their work appears in journals such as Scientific Reports, Frontiers in Genetics, International Journal of Molecular Sciences, PLoS ONE and International Journal of Infectious Diseases.
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.