Danielle Bucchini
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Diabetes Management and Research
- Genetics top 5%
- Diabetes and associated disorders
Papers in
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- Metabolism, Diabetes, and Cancer 10
- CRISPR and Genetic Engineering 6
- Genetics 27
- Diabetes and associated disorders 9
- Virus-based gene therapy research 9
- Animal Genetics and Reproduction 8
- Genetics and Neurodevelopmental Disorders 5
- Co-authors
- Jacques Jami (32 shared papers)Eliane Monthioux (6 shared papers)Nathalie Cordonnier (6 shared papers)Rajiv L. Joshi (6 shared papers)Louise Deltour (7 shared papers)Bertrand Duvillié (6 shared papers)Betty Lamothe (5 shared papers)Françoise Dandoy‐Dron (5 shared papers)
In The Last Decade
Danielle Bucchini
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 432
- Genetics 616
- Surgery 765
- Aging 26
- Molecular Biology 964
Countries citing papers authored by Danielle Bucchini
This map shows the geographic impact of Danielle Bucchini'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 Danielle Bucchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Bucchini more than expected).
Fields of papers citing papers by Danielle Bucchini
This network shows the impact of papers produced by Danielle Bucchini. 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 Danielle Bucchini. The network helps show where Danielle Bucchini may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Bucchini, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 229 | |
| 2 | 1997 | 225 | |
| 3 | 1993 | 170 | |
| 4 | 2001 | 122 | |
| 5 | 1998 | 121 | |
| 6 | 1997 | 97 | |
| 7 | 1994 | 79 | |
| 8 | 1993 | 77 | |
| 9 | 1986 | 68 | |
| 10 | 1995 | 55 | |
| 11 | 1998 | 48 | |
| 12 | 1998 | 45 | |
| 13 | 1990 | 43 | |
| 14 | 1998 | 34 | |
| 15 | 1985 | 33 | |
| 16 | 1991 | 31 | |
| 17 | 2001 | 27 | |
| 18 | 1995 | 27 | |
| 19 | 1998 | 27 | |
| 20 | 1972 | 26 |
About Danielle Bucchini
Danielle Bucchini is a scholar working on Molecular Biology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), Metabolism, Diabetes, and Cancer (10 papers), Diabetes and associated disorders (9 papers), Virus-based gene therapy research (9 papers), Animal Genetics and Reproduction (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), CRISPR and Genetic Engineering (6 papers) and Genetics and Neurodevelopmental Disorders (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (432 citations), Genetics (616 citations), Surgery (765 citations), Aging (26 citations) and Molecular Biology (964 citations). Danielle Bucchini has collaborated with scholars based in France, Denmark and Tunisia. Frequent co-authors include Jacques Jami, Eliane Monthioux, Nathalie Cordonnier, Rajiv L. Joshi, Louise Deltour, Bertrand Duvillié, Betty Lamothe, Françoise Dandoy‐Dron, Karim Mesbah and Ole Madsen. Their work appears in journals such as FEBS Letters, Journal of Virology, Experimental Cell Research, Proceedings of the National Academy of Sciences and The EMBO Journal.
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.