Gabriel Lima-Oliveira
- Physiology top 2%
- Statistics, Probability and Uncertainty top 0.5%
- Hematology top 5%
- Biochemistry top 5%
- Surgery
- Co-authors
- Gian Cesare GuidiGiuseppe LippiGian Luca SalvagnoGeraldo PichethMartina MontagnanaElisa DaneseEmmanuel J. FavaloroGiorgio Brocco
- Topics
- Clinical Laboratory Practices and Quality Control (49 papers)Meta-analysis and systematic reviews (21 papers)Blood transfusion and management (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Gabriel Lima-Oliveira
58 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Physiology 929
- Statistics, Probability and Uncertainty 382
- Hematology 189
- Biochemistry 169
- Surgery 146
Countries citing papers authored by Gabriel Lima-Oliveira
This map shows the geographic impact of Gabriel Lima-Oliveira'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 Gabriel Lima-Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Lima-Oliveira more than expected).
Fields of papers citing papers by Gabriel Lima-Oliveira
This network shows the impact of papers produced by Gabriel Lima-Oliveira. 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 Gabriel Lima-Oliveira. The network helps show where Gabriel Lima-Oliveira may publish in the future.
Co-authorship network of co-authors of Gabriel Lima-Oliveira
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Lima-Oliveira. A scholar is included among the top collaborators of Gabriel Lima-Oliveira based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel Lima-Oliveira. Gabriel Lima-Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 13 | |
| 3 | 11 | |
| 4 | 19 | |
| 5 | 44 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 21 | |
| 10 | 38 | |
| 11 | 15 | |
| 12 | 72 | |
| 13 | 10 | |
| 14 | 15 | |
| 15 | 41 | |
| 16 | 22 | |
| 17 | 27 | |
| 18 | 31 | |
| 19 | 35 | |
| 20 | 45 |
About Gabriel Lima-Oliveira
Gabriel Lima-Oliveira is a scholar working on Statistics, Probability and Uncertainty, Physiology and Biochemistry, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (49 papers), Meta-analysis and systematic reviews (21 papers) and Blood transfusion and management (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (382 citations), Physiology (929 citations) and Biochemistry (169 citations). Gabriel Lima-Oliveira has collaborated with scholars based in Italy, Brazil and Australia. Frequent co-authors include Gian Cesare Guidi, Giuseppe Lippi, Gian Luca Salvagno, Geraldo Picheth, Martina Montagnana, Elisa Danese, Emmanuel J. Favaloro, Giorgio Brocco, Matteo Gelati and Mariléia Scartezini. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.