A Foradori

49 papers receiving 822 citations

Peers

A Foradori
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 460
  • Surgery 330
  • Molecular Biology 159
  • Cardiology and Cardiovascular Medicine 140
  • Pediatrics, Perinatology and Child Health 86
Replace Albert Quan with:
Albert Quan United States
Stefano Rocco Italy
Thomas G. Elliott Canada
Peter Galloway United Kingdom
Hasan Altunbaş Türkiye
Yoshiyuki Hamamoto Japan
Mohammed Sika United States
Ana Carolina de Bragança Brazil
Gregor Guron Sweden
A Foradori relative to Albert Quan United States Albert Quan's profile →
Citations per field
00.5×3.2×
Albert Quan · 1×
Citations per year

Countries citing papers authored by A Foradori

Since Specialization
Citations

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

Fields of papers citing papers by A Foradori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Foradori

This figure shows the co-authorship network connecting the top 25 collaborators of A Foradori. A scholar is included among the top collaborators of A Foradori 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 A Foradori. A Foradori 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 26
2 55
3 328
4 21
5 7
6
[High prevalence of undiagnosed primary hyperaldosteronism among patients with essential hypertension].
25
7 3
8 10
9 38
10 21
11
[Effect of a 17 beta estradiol gel preparation on hormone levels in menopausal women].
0
12 19
13 15
14 8
15 24
16
Monitoring of cyclosporine blood levels with polyclonal and monoclonal assays during episodes of renal graft dysfunction.
6
17
[Iron and folate deficiency in pregnant women at term].
3
18
[Serum ferritin evaluation in pregnant women and its correlations to other biological parameters (author's transl)].
2
19
[Hematological characteristics in Chilean pregnant women (author's transl)].
3
20 28

About A Foradori

A Foradori is a scholar working on Transplantation, Endocrinology, Diabetes and Metabolism and Pharmacy, having authored 51 papers that have together received 852 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (8 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Hormonal and reproductive studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (460 citations), Transplantation (50 citations) and Surgery (330 citations). A Foradori has collaborated with scholars based in Chile, United States and Argentina. Frequent co-authors include Carlos Fardella, Eveline Oestreicher, Lorena Mosso, Álvaro Huete, Mauricio P. Pinto, Luis Miguel Marín Gómez, Celso E. Gómez-Sánchez, Diego Mezzano, Eduardo Aranda and Gloría Valdés. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics and Biology of Reproduction.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026