Diego Eidy Chiba
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
Papers in
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- Machine Learning in Bioinformatics 1
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- Trypanosoma species research and implications 2
- Co-authors
- Jean Leandro dos Santos (8 shared papers)Chung Man Chin (9 shared papers)Guilherme Fernandes (4 shared papers)Daniela Hartmann Jornada (4 shared papers)Aline Renata Pavan (2 shared papers)Juliana Romano Lopes (1 shared paper)Maria Elisa Lopes Pires (1 shared paper)Iracilda Zeppone Carlos (1 shared paper)
- Journals
- Nutrients (3 papers)Current Medicinal Chemistry (2 papers)Medicinal Chemistry Research (2 papers)European Journal of Medicinal Chemistry (1 paper)Molecules (1 paper)
- Partner nations
- BrazilUnited Kingdom
In The Last Decade
Diego Eidy Chiba
11 papers receiving 432 citations
Peers
Comparison fields: 5 of 92
- Geriatrics and Gerontology 58
- Molecular Medicine 46
- Pharmaceutical Science 41
- Aging 6
- Molecular Biology 213
Countries citing papers authored by Diego Eidy Chiba
This map shows the geographic impact of Diego Eidy Chiba'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 Diego Eidy Chiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Eidy Chiba more than expected).
Fields of papers citing papers by Diego Eidy Chiba
This network shows the impact of papers produced by Diego Eidy Chiba. 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 Diego Eidy Chiba. The network helps show where Diego Eidy Chiba may publish in the future.
Co-authors
The 12 scholars most cited alongside Diego Eidy Chiba, 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 | 2015 | 203 | |
| 2 | 2017 | 111 | |
| 3 | 2016 | 101 | |
| 4 | 2021 | 11 | |
| 5 | 2019 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2014 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2021 | 1 |
About Diego Eidy Chiba
Diego Eidy Chiba is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Organic Chemistry and Geriatrics and Gerontology, having authored 11 papers that have together received 438 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), HIV/AIDS drug development and treatment (2 papers), Aldose Reductase and Taurine (2 papers), Trypanosoma species research and implications (2 papers), HIV Research and Treatment (1 paper), Machine Learning in Bioinformatics (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Geriatrics and Gerontology (58 citations), Molecular Medicine (46 citations), Pharmaceutical Science (41 citations), Aging (6 citations) and Molecular Biology (213 citations). Diego Eidy Chiba has collaborated with scholars based in Brazil and United Kingdom. Frequent co-authors include Jean Leandro dos Santos, Chung Man Chin, Guilherme Fernandes, Daniela Hartmann Jornada, Aline Renata Pavan, Juliana Romano Lopes, Maria Elisa Lopes Pires, Iracilda Zeppone Carlos, Sisi Marcondes and Cauê Benito Scarim. Their work appears in journals such as Nutrients, Current Medicinal Chemistry, Medicinal Chemistry Research, European Journal of Medicinal 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.