Diego D’Ávila Paskulin
- Obstetrics and Gynecology top 10%
- Reproductive Medicine top 10%
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- Immune Response and Inflammation 5
- Reproductive System and Pregnancy 4
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- Cancer-related Molecular Pathways 4
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- Reproductive Biology and Fertility 5
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- Sepsis Diagnosis and Treatment 5
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- Prenatal Screening and Diagnostics 3
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- S100 Proteins and Annexins 3
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- Antifungal resistance and susceptibility 2
- Co-authors
- Patrícia Ashton‐ProllaJoão Sabino Cunha‐FilhoCarlos Augusto Bastos de SouzaClarice Sampaio AlhoFernando Suparregui DiasPierre HainautAlessandro C. PasqualottoMaría Cátira Bortolini
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- BrazilUnited StatesFrance
In The Last Decade
Diego D’Ávila Paskulin
20 papers receiving 371 citations
Peers
Comparison fields: 5 of 65
- Obstetrics and Gynecology 56
- Reproductive Medicine 55
- Immunology 113
- Oncology 107
- Cancer Research 53
Countries citing papers authored by Diego D’Ávila Paskulin
This map shows the geographic impact of Diego D’Ávila Paskulin'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 D’Ávila Paskulin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego D’Ávila Paskulin more than expected).
Fields of papers citing papers by Diego D’Ávila Paskulin
This network shows the impact of papers produced by Diego D’Ávila Paskulin. 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 D’Ávila Paskulin. The network helps show where Diego D’Ávila Paskulin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Diego D’Ávila Paskulin, 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 | 2018 | 8 | |
| 2 | 2016 | 27 | |
| 3 | 2016 | 11 | |
| 4 | 2015 | 16 | |
| 5 | 2014 | 32 | |
| 6 | 2014 | 8 | |
| 7 | 2014 | 11 | |
| 8 | 2014 | 1 | |
| 9 | Alterações moleculares do gene TP53 e de genes que regulam a atividade da P53 na infertilidade e no câncer | 2013 | 0 |
| 10 | 2013 | 29 | |
| 11 | 2013 | 2 | |
| 12 | 2013 | 90 | |
| 13 | 2012 | 36 | |
| 14 | 2012 | 16 | |
| 15 | 2012 | 14 | |
| 16 | 2012 | 3 | |
| 17 | 2011 | 22 | |
| 18 | 2010 | 9 | |
| 19 | 2009 | 11 | |
| 20 | 2008 | 26 |
About Diego D’Ávila Paskulin
Diego D’Ávila Paskulin is a scholar working on Immunology, Oncology and Reproductive Medicine, having authored 21 papers that have together received 381 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Immune Response and Inflammation (5 papers), Sepsis Diagnosis and Treatment (5 papers), Reproductive System and Pregnancy (4 papers), Cancer-related Molecular Pathways (4 papers), Prenatal Screening and Diagnostics (3 papers), S100 Proteins and Annexins (3 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Obstetrics and Gynecology (56 citations), Reproductive Medicine (55 citations) and Immunology (113 citations). Diego D’Ávila Paskulin has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Patrícia Ashton‐Prolla, João Sabino Cunha‐Filho, Carlos Augusto Bastos de Souza, Clarice Sampaio Alho, Fernando Suparregui Dias, Pierre Hainaut, Alessandro C. Pasqualotto, María Cátira Bortolini, Diego R. Falci and Jerry Haney. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.