E Genazzani
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Receptor Mechanisms and Signaling 11
- Cancer therapeutics and mechanisms 3
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- Neuropeptides and Animal Physiology 8
- Neuroscience and Neuropharmacology Research 7
- Co-authors
- Carola Eva (9 shared papers)Francesco Di Carlo (5 shared papers)W. Ian P. Mainwaring (1 shared paper)Rolf Sprengel (1 shared paper)Alessandra Oberto (2 shared papers)Giampiero Muccioli (7 shared papers)I Viano (7 shared papers)Alessandra Cesano (1 shared paper)
In The Last Decade
E Genazzani
52 papers receiving 585 citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 189
- Behavioral Neuroscience 34
- Endocrine and Autonomic Systems 46
- Reproductive Medicine 51
- Biological Psychiatry 15
Countries citing papers authored by E Genazzani
This map shows the geographic impact of E Genazzani'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 E Genazzani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Genazzani more than expected).
Fields of papers citing papers by E Genazzani
This network shows the impact of papers produced by E Genazzani. 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 E Genazzani. The network helps show where E Genazzani may publish in the future.
Co-authors
The 25 scholars most cited alongside E Genazzani, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 83 | |
| 2 | Pharmacological modulation of steroid action | 1980 | 77 |
| 3 | 1988 | 65 | |
| 4 | 1983 | 53 | |
| 5 | 1978 | 33 | |
| 6 | 1989 | 27 | |
| 7 | 1990 | 26 | |
| 8 | 1991 | 24 | |
| 9 | 1992 | 23 | |
| 10 | 1992 | 20 | |
| 11 | 1988 | 16 | |
| 12 | BINDING CAPABILITY OF VARIOUS SULFONAMIDES TO SERUMS OF DIFFERENT ANIMAL SPECIES. | 1963 | 13 |
| 13 | 1971 | 13 | |
| 14 | 1978 | 10 | |
| 15 | 1989 | 9 | |
| 16 | 1962 | 9 | |
| 17 | 1990 | 8 | |
| 18 | 1995 | 8 | |
| 19 | 1980 | 8 | |
| 20 | 1989 | 7 |
About E Genazzani
E Genazzani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Pharmacology and Oncology, having authored 53 papers that have together received 627 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Estrogen and related hormone effects (8 papers), Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Hypothalamic control of reproductive hormones (5 papers), Circadian rhythm and melatonin (4 papers), Cancer therapeutics and mechanisms (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (189 citations), Behavioral Neuroscience (34 citations), Endocrine and Autonomic Systems (46 citations), Reproductive Medicine (51 citations) and Biological Psychiatry (15 citations). E Genazzani has collaborated with scholars based in Italy, Germany and Czechia. Frequent co-authors include Carola Eva, Francesco Di Carlo, W. Ian P. Mainwaring, Rolf Sprengel, Alessandra Oberto, Giampiero Muccioli, I Viano, Alessandra Cesano, Lina Matera and Piera Ghi. Their work appears in journals such as Pharmacological Research, European Journal of Pharmacology, Brain Research, Journal of Pharmacology and Experimental Therapeutics and FEBS Letters.
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.