Danielle Bucchini

47 papers receiving 1.7k citations

Peers

Danielle Bucchini
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 245
  • Surgery 526
  • Aging 20
  • Immunology 210
  • Genetics 281
Replace H Sakura with:
H Sakura Japan
Stephen R. Jaspers United States
Dominique Sawka‐Verhelle France
Diana L. Carlone United States
Per Antonson Sweden
Eileen L. Whiteman United States
Maria Alexander-Bridges United States
Gabriella Fóris Hungary
Joelle Finidori France
Carmen Martı́nez Spain
Danielle Bucchini relative to H Sakura Japan H Sakura's profile →
Citations per field
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H Sakura · 1×
Citations per year

Countries citing papers authored by Danielle Bucchini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Danielle Bucchini Line = papers co-authored together Danielle Bucchini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997225
2 1996223
3 1993165
4 1998120
5 199798
6 199488
7 200279
8 199374
9 198665
10 199559
11 198754
12 199845
13 199845
14 199039
15 199834
16 198533
17 199130
18 199528
19 199828
20 200127

About Danielle Bucchini

Danielle Bucchini is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Immunology and Molecular Biology, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Animal Genetics and Reproduction (8 papers), Metabolism, Diabetes, and Cancer (6 papers), Viral Infections and Immunology Research (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Genomics and Chromatin Dynamics (5 papers), Pluripotent Stem Cells Research (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (245 citations), Surgery (526 citations), Aging (20 citations), Immunology (210 citations) and Genetics (281 citations). Danielle Bucchini has collaborated with scholars based in France, Denmark and United States. Frequent co-authors include Jacques Jami, Rajiv L. Joshi, Eliane Monthioux, Betty Lamothe, Nathalie Cordonnier, Louise Deltour, Bertrand Duvillié, Françoise Dandoy‐Dron, Karim Mesbah and Axel Kahn. Their work appears in journals such as FEBS Letters, Journal of Virology, The EMBO Journal, Proceedings of the National Academy of Sciences and Experimental Cell Research.

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.

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