Daisy Crispim

124 papers receiving 2.9k citations

Peers

Daisy Crispim
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 567
  • Clinical Biochemistry 188
  • Cancer Research 414
  • Physiology 640
  • Ophthalmology 160
Replace Gabriella Gruden with:
Gabriella Gruden Italy
Lucia La Sala Italy
Yaoming Xue China
Antonios Chatzigeorgiou Greece
Yoshimasa Aso Japan
Federica Barutta Italy
Toshihiko Inukai Japan
Maria B. Grant United States
Mike Sampson United Kingdom
Gelsomina Mansueto Italy
Daisy Crispim relative to Gabriella Gruden Italy Gabriella Gruden's profile →
Citations per field
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Gabriella Gruden · 1×
Citations per year

Countries citing papers authored by Daisy Crispim

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Crispim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisy Crispim, 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 Daisy Crispim Line = papers co-authored together Daisy Crispim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20232
4 20238
5 20231
6
The A allele of the rs759853 single nucleotide polymorphism in the AKR1B1 gene confers risk for diabetic kidney disease in patients with type 2 diabetes from a Brazilian population
20227
7 20225
8 202227
9 20212
10 20213
11 202122
12 20213
13 20205
14 202011
15 20205
16 20192
17 201716
18 20142
19 20138
20
Transplante de Ilhotas Pancreáticas Humanas: Revisão da Literatura e Implantação de um Laboratório de Isolamento de Ilhotas Pancreáticas
20111

About Daisy Crispim

Daisy Crispim is a scholar working on Transplantation, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Ophthalmology and Physiology, having authored 131 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (25 papers), Adipose Tissue and Metabolism (24 papers), Diabetes and associated disorders (17 papers), Retinal Diseases and Treatments (12 papers), Cardiovascular Disease and Adiposity (12 papers), Cancer-related molecular mechanisms research (10 papers), Diabetes Treatment and Management (9 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (567 citations), Clinical Biochemistry (188 citations), Cancer Research (414 citations), Physiology (640 citations) and Ophthalmology (160 citations). Daisy Crispim has collaborated with scholars based in Brazil, United States and Uruguay. Frequent co-authors include Luís Henrique Santos Canani, Bianca Marmontel de Souza, Taís Silveira Assmann, Andréa Carla Bauer, Jakeline Rheinheimer, Ana Paula Bouças, Jorge Luiz Gross, Letícia A. Brondani, Mariana Recamonde‐Mendoza and Cristiane Bauermann Leitão. Their work appears in journals such as PLoS ONE, Diabetology & Metabolic Syndrome, Molecular and Cellular Endocrinology, Molecular Biology Reports and European Journal of Endocrinology.

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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2026