Claudia Gragnoli

2.2k citations
86 papers · 1.4k indexed · h-index 18
Topics
Pancreatic function and diabetes (19 papers)Ubiquitin and proteasome pathways (11 papers)Metabolism, Diabetes, and Cancer (10 papers)
Partner nations
United StatesItalyChina

In The Last Decade

Claudia Gragnoli

81 papers receiving 1.4k citations

Peers

Claudia Gragnoli
Comparison fields: 5 of 114
  • Molecular Biology 608
  • Surgery 500
  • Genetics 422
  • Endocrinology, Diabetes and Metabolism 384
  • Physiology 174
Replace Tetsuya Takao with:
Tetsuya Takao Japan
Emily Farber United States
Gerard Honig United States
Sara Hamon United States
Diana Cruz‐Topete United States
Kimiko Yamakawa‐Kobayashi Japan
Cong Lin China
B.K. Thelma India
Jacqueline L. Beaudry Canada
Katherine Beebe United States
Claudia Gragnoli relative to Tetsuya Takao Japan Tetsuya Takao's profile →
Citations per field
00.5×1.7×
Tetsuya Takao · 1×
Citations per year

Countries citing papers authored by Claudia Gragnoli

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Gragnoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia Gragnoli. 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 Claudia Gragnoli. The network helps show where Claudia Gragnoli may publish in the future.

Co-authorship network of co-authors of Claudia Gragnoli

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 0
3 3
4 3
5 4
6 5
7 2
8 2
9 3
10 1
11 4
12 7
13 6
14 83
15 24
16 77
17 4
18 7
19 23
20
NEUROG3 variants and type 2 diabetes in Italians.
10

About Claudia Gragnoli

Claudia Gragnoli is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (19 papers), Ubiquitin and proteasome pathways (11 papers) and Metabolism, Diabetes, and Cancer (10 papers). The work is most often cited by research in Biological Psychiatry (98 citations), Endocrinology, Diabetes and Metabolism (384 citations) and Behavioral Neuroscience (61 citations). Claudia Gragnoli has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Elias K. Spanakis, Laura del Bosque‐Plata, Teodor T. Postolache, Tom H. Lindner, Graeme I. Bell, Eduardo Martínez‐Martínez, Rongling Wu, Mutaz Amin, Antonio Gorini and Rongling Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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