Eugenio Taboada

20 papers receiving 568 citations

Peers

Eugenio Taboada
Comparison fields: 5 of 57
  • Biological Psychiatry 18
  • Physiology 180
  • Pulmonary and Respiratory Medicine 187
  • Oncology 157
  • Genetics 59
Replace Ji Shin Lee with:
Ji Shin Lee South Korea
A. Stessin United States
Eileen G. Pobre United States
Marica Arvigo Italy
Iain J. Brogan United Kingdom
Ludmila Matyakhina United States
Kanako Wakahashi Japan
Toshihito Fujii Japan
Zhangsen Huang China
Akiko Tochimoto Japan
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Citations per year

Countries citing papers authored by Eugenio Taboada

Since Specialization
Citations

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

Fields of papers citing papers by Eugenio Taboada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000230
2 2001104
3 200668
4 201746
5 201431
6 200628
7 200027
8 201712
9 200211
10 200311
11 20147
12 20117
13 20026
14 20195
15 20195
16 20014
17 20194
18 20194
19 20151
20
Insulin sensitivity and metabolic clearance rate of insulin in familial multiple lipomatosis.
19881

About Eugenio Taboada

Eugenio Taboada is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Genetics and Genetics, having authored 23 papers that have together received 613 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (3 papers), Renal and related cancers (2 papers), Neuroblastoma Research and Treatments (2 papers), Neonatal Health and Biochemistry (2 papers), Craniofacial Disorders and Treatments (2 papers), Mitochondrial Function and Pathology (2 papers), Ocular Disorders and Treatments (2 papers) and Congenital Anomalies and Fetal Surgery (2 papers). The work is most often cited by research in Biological Psychiatry (18 citations), Physiology (180 citations), Pulmonary and Respiratory Medicine (187 citations), Oncology (157 citations) and Genetics (59 citations). Eugenio Taboada has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Andrew L. Folpe, Sharon W. Weiss, Kamal G. Ishak, S. Meehan, Zachary Goodman, Augusto F. G. Paulino, Joan H.M. Knoll, Louis P. Dehner, Paul E. Swanson and Maureen J. O’Sullivan. Their work appears in journals such as Pediatric and Developmental Pathology, Human Mutation, Journal of Pediatric and Adolescent Gynecology, The American Journal of Surgical Pathology and American Journal of Perinatology.

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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