Danila d’Angelo
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
- Physiology top 5%
- Nitric Oxide and Endothelin Effects
Papers in
- Genetics 16
- Human-Animal Interaction Studies 12
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- Animal Behavior and Welfare Studies 6
- Co-authors
- Dewan Zeng (3 shared papers)Jeffrey K. Harrison (3 shared papers)Kevin R. Lynch (3 shared papers)Cynthia M. Barber (2 shared papers)Marcel E. Durieux (1 shared paper)M J Peach (1 shared paper)William C. Sessa (1 shared paper)Luigi Avallone (23 shared papers)
- Journals
- Animals (9 papers)Journal of Cellular Physiology (2 papers)Research in Veterinary Science (2 papers)Journal of Comparative Pathology (2 papers)Frontiers in Aging Neuroscience (2 papers)
- Partner nations
- ItalyUnited StatesPeru
In The Last Decade
Danila d’Angelo
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Biochemistry 142
- Physiology 381
- Cellular and Molecular Neuroscience 237
- Small Animals 82
- Hematology 119
Countries citing papers authored by Danila d’Angelo
This map shows the geographic impact of Danila d’Angelo'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 Danila d’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danila d’Angelo more than expected).
Fields of papers citing papers by Danila d’Angelo
This network shows the impact of papers produced by Danila d’Angelo. 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 Danila d’Angelo. The network helps show where Danila d’Angelo may publish in the future.
Co-authors
The 25 scholars most cited alongside Danila d’Angelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 394 | |
| 2 | 1990 | 142 | |
| 3 | 1991 | 106 | |
| 4 | 2000 | 102 | |
| 5 | 2011 | 57 | |
| 6 | 2022 | 44 | |
| 7 | 2002 | 38 | |
| 8 | 2003 | 34 | |
| 9 | 2010 | 30 | |
| 10 | 1994 | 27 | |
| 11 | 2013 | 27 | |
| 12 | 2003 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2021 | 23 | |
| 15 | 2021 | 21 | |
| 16 | 2020 | 21 | |
| 17 | 2015 | 21 | |
| 18 | 2022 | 18 | |
| 19 | 2004 | 17 | |
| 20 | 2020 | 16 |
About Danila d’Angelo
Danila d’Angelo is a scholar working on Genetics, Small Animals, Molecular Biology, Hematology and Virology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Human-Animal Interaction Studies (12 papers), Rabies epidemiology and control (6 papers), Animal Behavior and Welfare Studies (6 papers), Neuroendocrine regulation and behavior (4 papers), Cell Adhesion Molecules Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Biochemistry (142 citations), Physiology (381 citations), Cellular and Molecular Neuroscience (237 citations), Small Animals (82 citations) and Hematology (119 citations). Danila d’Angelo has collaborated with scholars based in Italy, United States and Peru. Frequent co-authors include Dewan Zeng, Jeffrey K. Harrison, Kevin R. Lynch, Cynthia M. Barber, Marcel E. Durieux, M J Peach, William C. Sessa, Luigi Avallone, Guido Molea and Fabrizio Schönauer. Their work appears in journals such as Animals, Journal of Cellular Physiology, Research in Veterinary Science, Journal of Comparative Pathology and Frontiers in Aging Neuroscience.
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.