Á. Blanco-Molina

1.2k citations
16 papers · 404 · h-index 9

Impact in

Papers in

Á. Blanco-Molina

16 papers receiving 386 citations

Peers

Á. Blanco-Molina
Comparison fields: 5 of 59
  • Internal Medicine 51
  • Endocrinology, Diabetes and Metabolism 118
  • Nutrition and Dietetics 90
  • Hematology 62
  • Physiology 135
Replace N Chetty with:
N Chetty South Africa
Christian Demers Canada
Catherine B. Brouwer Netherlands
M. Tonoli Italy
Thanh-Tam Guyene France
J Rouffy France
Volker Pönitz Norway
M Liron Israel
P. Barja Chile
Alessandra Marrazzo Italy
Á. Blanco-Molina relative to N Chetty South Africa N Chetty's profile →
Citations per field
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Citations per year

Countries citing papers authored by Á. Blanco-Molina

Since Specialization
Citations

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

Fields of papers citing papers by Á. Blanco-Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Á. Blanco-Molina. 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 Á. Blanco-Molina. The network helps show where Á. Blanco-Molina may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2001175
2 200959
3 199751
4 199832
5 200830
6
Lovastatin versus bezafibrate for hyperlipemia treatment after heart transplantation.
199513
7 200710
8 20139
9
Effects of hypothyroidism on the ultrastructure of rat pancreatic acinar cells: a stereological analysis.
19919
10
The effect of cyclosporine and methylprednisolone on plasma lipoprotein levels in rats.
19956
11 19945
12 20191
13 20091
14
Evidence of a direct TRH effect on the rat exocrine pancreas.
19911
15 19941
16 20001

About Á. Blanco-Molina

Á. Blanco-Molina is a scholar working on Molecular Biology, Hematology, Endocrinology, Diabetes and Metabolism, Surgery and Clinical Biochemistry, having authored 16 papers that have together received 404 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (2 papers), Diet, Metabolism, and Disease (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Lipid metabolism and disorders (2 papers), Antioxidant Activity and Oxidative Stress (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Diet and metabolism studies (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Internal Medicine (51 citations), Endocrinology, Diabetes and Metabolism (118 citations), Nutrition and Dietetics (90 citations), Hematology (62 citations) and Physiology (135 citations). Á. Blanco-Molina has collaborated with scholars based in Spain, United States and Bulgaria. Frequent co-authors include E. Paz-Rojas, Pedro Montilla, P. A. G�mez, Francisco Pérez‐Jiménez, José López‐Miranda, José M. Ordovás, Fernando Lopez‐Segura, Manuel Monréal, Javier Trujillo‐Santos and Pierpaolo Di Micco. Their work appears in journals such as PROTOPLASMA, Arteriosclerosis Thrombosis and Vascular Biology, Nephrology Dialysis Transplantation, Atherosclerosis and Thrombosis and Haemostasis.

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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