Lucia Negri
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology 74
- Neurobiology and Insect Physiology Research 17
- Behavioral Neuroscience top 1%
- Reproductive Medicine top 1%
- Hypothalamic control of reproductive hormones 25
- Microbiology top 1%
- Antimicrobial Peptides and Activities 11
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- Receptor Mechanisms and Signaling 44
- Pharmacological Receptor Mechanisms and Effects 28
- Chemical Synthesis and Analysis 20
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- Pain Mechanisms and Treatments 23
- Co-authors
- Pietro MelchiorriRoberta LattanziV. ErspamerG. Falconieri ErspamerElisa GianniniCinzia SeveriniDonatella BarraMaurizio Simmaco
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Clinical Oncology (1 paper)Journal of Neuroscience (3 papers)
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Lucia Negri
133 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 116
- Cellular and Molecular Neuroscience 2.6k
- Behavioral Neuroscience 376
- Reproductive Medicine 650
- Endocrine and Autonomic Systems 403
- Microbiology 321
Countries citing papers authored by Lucia Negri
This map shows the geographic impact of Lucia Negri'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 Lucia Negri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Negri more than expected).
Fields of papers citing papers by Lucia Negri
This network shows the impact of papers produced by Lucia Negri. 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 Lucia Negri. The network helps show where Lucia Negri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lucia Negri, 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 | 2024 | 1 | |
| 2 | 2019 | 17 | |
| 3 | 2017 | 58 | |
| 4 | 2016 | 44 | |
| 5 | 2016 | 22 | |
| 6 | 2015 | 37 | |
| 7 | 2011 | 29 | |
| 8 | 2009 | 38 | |
| 9 | [Vittorio Erspamer (1909-1999)]. | 2006 | 5 |
| 10 | 2005 | 96 | |
| 11 | 2005 | 46 | |
| 12 | 2004 | 4 | |
| 13 | 2003 | 19 | |
| 14 | 2001 | 10 | |
| 15 | 2000 | 44 | |
| 16 | 1999 | 151 | |
| 17 | 1996 | 73 | |
| 18 | 1991 | 69 | |
| 19 | 1988 | 10 | |
| 20 | 1984 | 15 |
About Lucia Negri
Lucia Negri is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine and Behavioral Neuroscience, having authored 133 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (74 papers), Receptor Mechanisms and Signaling (44 papers), Pharmacological Receptor Mechanisms and Effects (28 papers), Hypothalamic control of reproductive hormones (25 papers), Pain Mechanisms and Treatments (23 papers), Chemical Synthesis and Analysis (20 papers), Neurobiology and Insect Physiology Research (17 papers) and Antimicrobial Peptides and Activities (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.6k citations), Behavioral Neuroscience (376 citations) and Reproductive Medicine (650 citations). Lucia Negri has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Pietro Melchiorri, Roberta Lattanzi, V. Erspamer, G. Falconieri Erspamer, Elisa Giannini, Cinzia Severini, Donatella Barra, Maurizio Simmaco, Gianfranco Balboni and Günther Kreil. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of 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.