Tânia Lima
Impact in
-
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
-
- Advanced Proteomics Techniques and Applications
Papers in
-
- Genomics and Phylogenetic Studies 3
- Metabolomics and Mass Spectrometry Studies 2
- RNA and protein synthesis mechanisms 2
- Signaling Pathways in Disease 2
-
- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Amos Bairoch (2 shared papers)Andrea H Auchincloss (2 shared papers)Elisabeth Coudert (2 shared papers)Catherine Rivoire (2 shared papers)Rui Vitorino (11 shared papers)Isabelle Phan (2 shared papers)Adelino Leite‐Moreira (6 shared papers)Edouard de Castro (1 shared paper)
- Journals
- Journal of Proteomics (2 papers)Scientific Reports (1 paper)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Briefings in Bioinformatics (1 paper)Heart Failure Reviews (1 paper)
- Partner nations
- PortugalSwitzerlandUnited States
In The Last Decade
Tânia Lima
18 papers receiving 369 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 238
- Spectroscopy 30
- Information Systems and Management 12
- Ecology 39
- Cardiology and Cardiovascular Medicine 29
Countries citing papers authored by Tânia Lima
This map shows the geographic impact of Tânia 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 Tânia Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tânia Lima more than expected).
Fields of papers citing papers by Tânia Lima
This network shows the impact of papers produced by Tânia 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 Tânia Lima. The network helps show where Tânia Lima may publish in the future.
Co-authors
The 25 scholars most cited alongside Tânia 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 | 2008 | 124 | |
| 2 | 2003 | 98 | |
| 3 | 2021 | 25 | |
| 4 | 2008 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 11 | |
| 8 | 2019 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 |
About Tânia Lima
Tânia Lima is a scholar working on Molecular Biology, Spectroscopy, Immunology, Cardiology and Cardiovascular Medicine and Genetics, having authored 18 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Galectins and Cancer Biology (3 papers), Genomics and Phylogenetic Studies (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Molecular Biology (238 citations), Spectroscopy (30 citations), Information Systems and Management (12 citations), Ecology (39 citations) and Cardiology and Cardiovascular Medicine (29 citations). Tânia Lima has collaborated with scholars based in Portugal, Switzerland and United States. Frequent co-authors include Amos Bairoch, Andrea H Auchincloss, Elisabeth Coudert, Catherine Rivoire, Rui Vitorino, Isabelle Phan, Adelino Leite‐Moreira, Edouard de Castro, Delphine Baratin and G. Keller. Their work appears in journals such as Journal of Proteomics, Scientific Reports, PROTEOMICS - CLINICAL APPLICATIONS, Briefings in Bioinformatics and Heart Failure Reviews.
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.