Debora Degl’Innocenti

1.1k citations
14 papers · 891 indexed · h-index 12
Topics
Thyroid Cancer Diagnosis and Treatment (7 papers)Wnt/β-catenin signaling in development and cancer (5 papers)Digestive system and related health (3 papers)

In The Last Decade

Debora Degl’Innocenti

14 papers receiving 875 citations

Peers

Debora Degl’Innocenti
Comparison fields: 5 of 88
  • Molecular Biology 387
  • Endocrinology, Diabetes and Metabolism 313
  • Oncology 308
  • Immunology 230
  • Cancer Research 179
Replace Cinzia Puppin with:
Cinzia Puppin Italy
Hironao Yasuoka Japan
Françoise Descôtes France
Thomas Strömberg Sweden
Allan V. Espinosa United States
Tamara Aleksic United Kingdom
Claudia Miranda Italy
Ayako Miyakawa Japan
Alfredo Romano Italy
S Takai Japan
Debora Degl’Innocenti relative to Cinzia Puppin Italy Cinzia Puppin's profile →
Citations per field
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Cinzia Puppin · 1×
Citations per year

Countries citing papers authored by Debora Degl’Innocenti

Since Specialization
Citations

This map shows the geographic impact of Debora Degl’Innocenti'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 Debora Degl’Innocenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Degl’Innocenti more than expected).

Fields of papers citing papers by Debora Degl’Innocenti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debora Degl’Innocenti. 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 Debora Degl’Innocenti. The network helps show where Debora Degl’Innocenti may publish in the future.

Co-authorship network of co-authors of Debora Degl’Innocenti

This figure shows the co-authorship network connecting the top 25 collaborators of Debora Degl’Innocenti. A scholar is included among the top collaborators of Debora Degl’Innocenti 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 Debora Degl’Innocenti. Debora Degl’Innocenti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 36
2 97
3 45
4 22
5 32
6 138
7 50
8 9
9 91
10 1
11 264
12 21
13 54
14 31

About Debora Degl’Innocenti

Debora Degl’Innocenti is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Oncology, having authored 14 papers that have together received 891 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Digestive system and related health (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (313 citations), Cancer Research (179 citations) and Oncology (308 citations). Debora Degl’Innocenti has collaborated with scholars based in Italy, Finland and United States. Frequent co-authors include Maria Grazia Borrello, Marco A. Pierotti, Giuliana Cassinelli, Angela Greco, Laura Fugazzola, Silvana Pilotti, Luisella Alberti, Cristina Ferrario, Paola Collini and Manuela Gariboldi. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Oncogene.

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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