Daniela Dal-Secco
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Biochemistry top 5%
- Sulfur Compounds in Biology
Papers in
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- Receptor Mechanisms and Signaling 2
- Heme Oxygenase-1 and Carbon Monoxide 2
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- Pain Mechanisms and Treatments 2
- Co-authors
- Fernando Q. Cunha (14 shared papers)Elżbieta Kołaczkowska (1 shared paper)Israel Charo (1 shared paper)Richard M. Ransohoff (1 shared paper)Björn Petri (1 shared paper)Craig N. Jenne (1 shared paper)Paul Kubes (1 shared paper)Zhutian Zeng (1 shared paper)
- Journals
- British Journal of Pharmacology (3 papers)Journal of Pharmacy and Pharmacology (2 papers)The Journal of Immunology (2 papers)Naunyn-Schmiedeberg s Archives of Pharmacology (2 papers)Molecular Neurobiology (1 paper)
- Partner nations
- BrazilUnited StatesColombia
In The Last Decade
Daniela Dal-Secco
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Immunology 423
- Biochemistry 112
- Hepatology 84
- Neurology 63
- Endocrine and Autonomic Systems 45
Countries citing papers authored by Daniela Dal-Secco
This map shows the geographic impact of Daniela Dal-Secco'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 Daniela Dal-Secco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Dal-Secco more than expected).
Fields of papers citing papers by Daniela Dal-Secco
This network shows the impact of papers produced by Daniela Dal-Secco. 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 Daniela Dal-Secco. The network helps show where Daniela Dal-Secco may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Dal-Secco, 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 | 2015 | 366 | |
| 2 | 2009 | 141 | |
| 3 | 2007 | 91 | |
| 4 | 2008 | 79 | |
| 5 | 2008 | 74 | |
| 6 | 2008 | 62 | |
| 7 | 2009 | 40 | |
| 8 | 2007 | 32 | |
| 9 | 2009 | 27 | |
| 10 | 2009 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2016 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2009 | 15 | |
| 15 | 2010 | 12 | |
| 16 | 2009 | 12 | |
| 17 | 2011 | 11 | |
| 18 | 2026 | 0 |
About Daniela Dal-Secco
Daniela Dal-Secco is a scholar working on Molecular Biology, Physiology, Immunology, Endocrine and Autonomic Systems and Pharmacology, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (2 papers), Receptor Mechanisms and Signaling (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Pain Mechanisms and Treatments (2 papers), Cell Adhesion Molecules Research (2 papers), Immune Response and Inflammation (2 papers), Neuroscience of respiration and sleep (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Immunology (423 citations), Biochemistry (112 citations), Hepatology (84 citations), Neurology (63 citations) and Endocrine and Autonomic Systems (45 citations). Daniela Dal-Secco has collaborated with scholars based in Brazil, United States and Colombia. Frequent co-authors include Fernando Q. Cunha, Elżbieta Kołaczkowska, Israel Charo, Richard M. Ransohoff, Björn Petri, Craig N. Jenne, Paul Kubes, Zhutian Zeng, Connie H. Y. Wong and Jing Wang. Their work appears in journals such as British Journal of Pharmacology, Journal of Pharmacy and Pharmacology, The Journal of Immunology, Naunyn-Schmiedeberg s Archives of Pharmacology and Molecular Neurobiology.
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.