Margherita Maffei
- Endocrine and Autonomic Systems top 0.01%
- Physiology top 0.05%
- Epidemiology top 0.1%
- Nutrition and Dietetics top 0.01%
- Molecular Biology top 5%
- Co-authors
- Jeffrey M. FriedmanMarisa BaroneYiying ZhangJeffrey L. HalaasRoger L. LalloneK.S. GajiwalaS.K. BurleyBrian T. Chait
- Topics
- Regulation of Appetite and Obesity (25 papers)Adipose Tissue and Metabolism (17 papers)Biochemical Analysis and Sensing Techniques (16 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Margherita Maffei
61 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Endocrine and Autonomic Systems 14.1k
- Physiology 9.6k
- Epidemiology 7.9k
- Nutrition and Dietetics 7.7k
- Molecular Biology 2.5k
Countries citing papers authored by Margherita Maffei
This map shows the geographic impact of Margherita Maffei'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 Margherita Maffei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margherita Maffei more than expected).
Fields of papers citing papers by Margherita Maffei
This network shows the impact of papers produced by Margherita Maffei. 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 Margherita Maffei. The network helps show where Margherita Maffei may publish in the future.
Co-authorship network of co-authors of Margherita Maffei
This figure shows the co-authorship network connecting the top 25 collaborators of Margherita Maffei. A scholar is included among the top collaborators of Margherita Maffei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margherita Maffei. Margherita Maffei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 24 | |
| 3 | 12 | |
| 4 | 18 | |
| 5 | 15 | |
| 6 | 53 | |
| 7 | 43 | |
| 8 | 19 | |
| 9 | 36 | |
| 10 | 7 | |
| 11 | 53 | |
| 12 | 46 | |
| 13 | 10 | |
| 14 | 45 | |
| 15 | 34 | |
| 16 | 42 | |
| 17 | 12 | |
| 18 | 118 | |
| 19 | Positional cloning of the mouse obese gene and its human homologuebreakdown → | 10513 |
| 20 | 44 |
About Margherita Maffei
Margherita Maffei is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Physiology, having authored 63 papers that have together received 20.6k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (25 papers), Adipose Tissue and Metabolism (17 papers) and Biochemical Analysis and Sensing Techniques (16 papers). The work is most often cited by research in Endocrine and Autonomic Systems (14.1k citations), Nutrition and Dietetics (7.7k citations) and Physiology (9.6k citations). Margherita Maffei has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Jeffrey M. Friedman, Marisa Barone, Yiying Zhang, Jeffrey L. Halaas, Roger L. Lallone, K.S. Gajiwala, S.K. Burley, Brian T. Chait, Daniel Rabinowitz and Steven L. Cohen. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.