Barbara Oldrini
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 2
- Ecology 4
- Freshwater macroinvertebrate diversity and ecology 4
- Co-authors
- Pier Paolo Di Fiore (2 shared papers)Simona Polo (2 shared papers)Elena Cavallaro (1 shared paper)Elena Maspero (1 shared paper)Stefano Confalonieri (1 shared paper)Massimo Squatrito (5 shared papers)Sandra Rodríguez (2 shared papers)Paula Kroon (2 shared papers)
- Journals
- Nature Communications (4 papers)eLife (2 papers)Nature Cell Biology (1 paper)Molecular Systems Biology (1 paper)Iheringia Série Zoologia (1 paper)
- Partner nations
- SpainUnited StatesBrazil
In The Last Decade
Barbara Oldrini
13 papers receiving 629 citations
Peers
Comparison fields: 5 of 80
- Genetics 112
- Cancer Research 136
- Molecular Biology 449
- Ecological Modeling 21
- Cell Biology 73
Countries citing papers authored by Barbara Oldrini
This map shows the geographic impact of Barbara Oldrini'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 Barbara Oldrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Oldrini more than expected).
Fields of papers citing papers by Barbara Oldrini
This network shows the impact of papers produced by Barbara Oldrini. 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 Barbara Oldrini. The network helps show where Barbara Oldrini may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Oldrini, 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 | 2006 | 158 | |
| 2 | 2020 | 143 | |
| 3 | 2014 | 70 | |
| 4 | 2021 | 58 | |
| 5 | 2018 | 53 | |
| 6 | 2011 | 52 | |
| 7 | Chave para identificacao das familias e generos das larvas conhecidas de Odonata do Brasil: comentarios e registros bibliograficos (Insecta, Odonata) | 2004 | 30 |
| 8 | 2020 | 26 | |
| 9 | 2017 | 24 | |
| 10 | Diversidade e distribuicao dos Odonata (Insecta) no Estado do Espirito Santo, Brasil | 2005 | 19 |
| 11 | Eight new Leptagrion larvae from Brazil (Zygoptera: Coenagrionidae) | 2009 | 5 |
| 12 | 2003 | 2 | |
| 13 | 2005 | 2 |
About Barbara Oldrini
Barbara Oldrini is a scholar working on Molecular Biology, Ecology, Genetics, Genetics and Cancer Research, having authored 13 papers that have together received 642 indexed citations. Recurring topics across this work include Freshwater macroinvertebrate diversity and ecology (4 papers), Glioma Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (2 papers), Geography and Environmental Studies (2 papers), Diatoms and Algae Research (2 papers), RNA Research and Splicing (2 papers), Lepidoptera: Biology and Taxonomy (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Genetics (112 citations), Cancer Research (136 citations), Molecular Biology (449 citations), Ecological Modeling (21 citations) and Cell Biology (73 citations). Barbara Oldrini has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include Pier Paolo Di Fiore, Simona Polo, Elena Cavallaro, Elena Maspero, Stefano Confalonieri, Massimo Squatrito, Sandra Rodríguez, Paula Kroon, Ingo K. Mellinghoff and Carl Campos. Their work appears in journals such as Nature Communications, eLife, Nature Cell Biology, Molecular Systems Biology and Iheringia Série Zoologia.
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.