Daniel A. Cunha

4.5k citations
50 papers · 3.6k indexed · 1 hit paper · h-index 32
Topics
Pancreatic function and diabetes (34 papers)Endoplasmic Reticulum Stress and Disease (17 papers)Diabetes and associated disorders (15 papers)
Partner nations
BelgiumBrazilItaly

In The Last Decade

Daniel A. Cunha

48 papers receiving 3.6k citations

Hit Papers

Initiation and execution of lipotoxic ER stress in pancre...20082026201420202008100200300400500

Peers

Daniel A. Cunha
Comparison fields: 5 of 111
  • Surgery 1.9k
  • Molecular Biology 1.3k
  • Genetics 1.1k
  • Cell Biology 999
  • Endocrinology, Diabetes and Metabolism 711
Replace Laurence Ladrière with:
Laurence Ladrière Belgium
Joanne Rasschaert Belgium
Mariana Igoillo‐Esteve Belgium
Danhong Lu United States
Fernanda Ortis Belgium
Eiji Yamato Japan
Joachim Størling Denmark
Yup Kang South Korea
Guim Kwon United States
Alessandra K. Cardozo Belgium
Daniel A. Cunha relative to Laurence Ladrière Belgium Laurence Ladrière's profile →
Citations per field
00.5×1.5×
Laurence Ladrière · 1×
Citations per year

Countries citing papers authored by Daniel A. Cunha

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Cunha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Cunha. 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 Daniel A. Cunha. The network helps show where Daniel A. Cunha may publish in the future.

Co-authorship network of co-authors of Daniel A. Cunha

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Cunha. A scholar is included among the top collaborators of Daniel A. Cunha 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 Daniel A. Cunha. Daniel A. Cunha 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 0
2 36
3 20
4 43
5 43
6
Age-dependent Changes In Rat Lacrimal Gland Anti-oxidant And Vesicular Related Protein Expression Profiles.
24
7 111
8 53
9 31
10 49
11 174
12 102
13 24
14 138
15 10
16 47
17 14
18 70
19 24
20 38

About Daniel A. Cunha

Daniel A. Cunha is a scholar working on Cell Biology, Surgery and Clinical Biochemistry, having authored 50 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (34 papers), Endoplasmic Reticulum Stress and Disease (17 papers) and Diabetes and associated disorders (15 papers). The work is most often cited by research in Cell Biology (999 citations), Surgery (1.9k citations) and Endocrinology, Diabetes and Metabolism (711 citations). Daniel A. Cunha has collaborated with scholars based in Belgium, Brazil and Italy. Frequent co-authors include Décio L. Eizirik, Miriam Cnop, Piero Marchetti, Laurence Ladrière, Mariana Igoillo‐Esteve, Fernanda Ortis, Marco Bugliani, Esteban N. Gurzov, Alessandra K. Cardozo and Fabrice Moore. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry 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.

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