Tânia Silva
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Hematology top 10%
- Iron Metabolism and Disorders
Papers in
- Epidemiology 10
- Mycobacterium research and diagnosis 7
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- Lipid Membrane Structure and Behavior 3
- Co-authors
- Maria Salomé Gomes (23 shared papers)Ana C. Moreira (8 shared papers)Margarida Bastos (6 shared papers)Pedro Rodrigues (7 shared papers)Paula Gomes (7 shared papers)Kamran Nazmi (5 shared papers)Jan G.M. Bolscher (5 shared papers)João V. Neves (5 shared papers)
- Journals
- Scientific Reports (2 papers)International Journal of Molecular Sciences (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Molecules (2 papers)Amino Acids (1 paper)
- Partner nations
- PortugalNetherlandsBrazil
In The Last Decade
Tânia Silva
35 papers receiving 618 citations
Peers
Comparison fields: 5 of 105
- Microbiology 135
- Hematology 103
- Molecular Medicine 35
- Nutrition and Dietetics 98
- Genetics 52
Countries citing papers authored by Tânia Silva
This map shows the geographic impact of Tânia Silva'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 Tânia Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tânia Silva more than expected).
Fields of papers citing papers by Tânia Silva
This network shows the impact of papers produced by Tânia Silva. 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 Tânia Silva. The network helps show where Tânia Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Tânia Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 56 | |
| 2 | 2014 | 45 | |
| 3 | 2017 | 35 | |
| 4 | 2020 | 33 | |
| 5 | 2018 | 33 | |
| 6 | 2013 | 32 | |
| 7 | 2021 | 31 | |
| 8 | 2019 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2019 | 26 | |
| 11 | 2011 | 25 | |
| 12 | 2012 | 25 | |
| 13 | 2013 | 24 | |
| 14 | 2017 | 24 | |
| 15 | 2011 | 20 | |
| 16 | 2015 | 19 | |
| 17 | 2017 | 15 | |
| 18 | 2013 | 14 | |
| 19 | 2021 | 12 | |
| 20 | 2020 | 12 |
About Tânia Silva
Tânia Silva is a scholar working on Epidemiology, Molecular Biology, Microbiology, Infectious Diseases and Nutrition and Dietetics, having authored 40 papers that have together received 624 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (8 papers), Mycobacterium research and diagnosis (7 papers), Iron Metabolism and Disorders (6 papers), Tuberculosis Research and Epidemiology (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Trace Elements in Health (5 papers), Antibiotic Resistance in Bacteria (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Microbiology (135 citations), Hematology (103 citations), Molecular Medicine (35 citations), Nutrition and Dietetics (98 citations) and Genetics (52 citations). Tânia Silva has collaborated with scholars based in Portugal, Netherlands and Brazil. Frequent co-authors include Maria Salomé Gomes, Ana C. Moreira, Margarida Bastos, Pedro Rodrigues, Paula Gomes, Kamran Nazmi, Jan G.M. Bolscher, João V. Neves, Daniela Uhrı́ková and Sérgio S. Funari. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, Antimicrobial Agents and Chemotherapy, Molecules and Amino Acids.
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.