Gian Marco De Donatis

1.4k citations
19 papers · 790 indexed · h-index 14
Topics
melanin and skin pigmentation (4 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers)Advanced biosensing and bioanalysis techniques (3 papers)
Partner nations
United StatesFranceItaly

In The Last Decade

Gian Marco De Donatis

18 papers receiving 768 citations

Peers

Gian Marco De Donatis
Comparison fields: 5 of 85
  • Molecular Biology 409
  • Dermatology 226
  • Cell Biology 194
  • Oncology 101
  • Ecology 88
Replace Earl Goyarts with:
Earl Goyarts United States
Mauro Mezzina France
Stuart A. Holmes United States
Kyoko Imoto United States
Jonathan R. Moll United States
Tsuneto Kushimoto United States
Ilona Rafalska Germany
Milton R. Okun United States
Dmitry S. Ushakov United Kingdom
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Citations per field
00.5×10×14.7×
Earl Goyarts · 1×
Citations per year

Countries citing papers authored by Gian Marco De Donatis

Since Specialization
Citations

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

Fields of papers citing papers by Gian Marco De Donatis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian Marco De Donatis. 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 Gian Marco De Donatis. The network helps show where Gian Marco De Donatis may publish in the future.

Co-authorship network of co-authors of Gian Marco De Donatis

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 25
2 12
3 15
4 3
5 4
6 0
7 236
8 85
9 45
10 46
11 43
12 42
13 41
14 34
15 75
16 19
17 30
18
Cysteinyl-glycine in the control of glutathione homeostasis in bovine lenses.
7
19 28

About Gian Marco De Donatis

Gian Marco De Donatis is a scholar working on Genetics, Dermatology and Cell Biology, having authored 19 papers that have together received 790 indexed citations. Recurring topics across this work include melanin and skin pigmentation (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Dermatology (226 citations), Cell Biology (194 citations) and Sensory Systems (37 citations). Gian Marco De Donatis has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Thierry Passeron, Claire Regazzetti, Bérengère Chignon‐Sicard, Stéphane Rocchi, Peixuan Guo, Chad Schwartz, Meri K. Tulić, Delphine Debayle, Michael R. Maurizi and Laura Sormani. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal and Biochemistry.

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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