Alejandro Daín

548 total citations
11 papers, 436 citations indexed

About

Alejandro Daín is a scholar working on Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology and Neurology. According to data from OpenAlex, Alejandro Daín has authored 11 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Geriatrics and Gerontology and 2 papers in Neurology. Recurrent topics in Alejandro Daín's work include Neurological Disease Mechanisms and Treatments (2 papers), Diet and metabolism studies (2 papers) and Diabetes Management and Research (2 papers). Alejandro Daín is often cited by papers focused on Neurological Disease Mechanisms and Treatments (2 papers), Diet and metabolism studies (2 papers) and Diabetes Management and Research (2 papers). Alejandro Daín collaborates with scholars based in Argentina, India and United Kingdom. Alejandro Daín's co-authors include Aldo R. Eynard, G Repossi, Undurti N. Das, María Cristina Tarrés, A C Wicks, Bryan Williams, Murray Luckas, María Eugenia Pasqualini, Jairam Vanamala and León Litwak and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Diabetes.

In The Last Decade

Alejandro Daín

10 papers receiving 422 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alejandro Daín Argentina	6	134	105	93	88	72	11	436
Min Yi China	15	97 0.7×	11 0.1×	194 2.1×	87 1.0×	19 0.3×	31	462
Masataka Tajima Japan	13	96 0.7×	40 0.4×	87 0.9×	58 0.7×	13 0.2×	30	494
Hamish Dougall United Kingdom	3	63 0.5×	24 0.2×	81 0.9×	338 3.8×	8 0.1×	6	607
Nicholas S. VanDongen United States	10	29 0.2×	17 0.2×	235 2.5×	265 3.0×	16 0.2×	25	602
Andy W. C. Man Germany	14	83 0.6×	6 0.1×	192 2.1×	231 2.6×	68 0.9×	23	622
Esmaeil Yousefi Rad Iran	13	22 0.2×	13 0.1×	79 0.8×	101 1.1×	24 0.3×	29	404
Somayeh Saboori Iran	13	22 0.2×	13 0.1×	85 0.9×	113 1.3×	24 0.3×	31	446
Rensong Yue China	13	42 0.3×	16 0.2×	165 1.8×	68 0.8×	6 0.1×	52	452
Xianfeng Zhang China	11	57 0.4×	28 0.3×	363 3.9×	111 1.3×	4 0.1×	27	681

Countries citing papers authored by Alejandro Daín

Since Specialization

Citations

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

Fields of papers citing papers by Alejandro Daín

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Daín

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Daín. A scholar is included among the top collaborators of Alejandro Daín 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 Alejandro Daín. Alejandro Daín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Daín, Alejandro. (2025). Diabetes en la era de la inteligencia artificial. SHILAP Revista de lepidopterología. 59(2Sup). 29–30.

Daín, Alejandro, et al.. (2021). 102-LB: Six-Month Glycemic Control with a Hybrid Closed-Loop System in Type 1 Diabetes Patients during COVID-19 Pandemic in Argentina. Diabetes. 70(Supplement_1). 1 indexed citations

Litwak, León, et al.. (2019). Monitoreo continuo de glucosa: Utilidad e indicaciones. Medicina-buenos Aires. 79(1). 44–52. 3 indexed citations

Daín, Alejandro, et al.. (2019). Diabetic encephalopathy: beneficial effects of supplementation with fatty acids ω3 and nordihydroguaiaretic acid in a spontaneous diabetes rat model. Lipids in Health and Disease. 18(1). 43–43. 39 indexed citations

Litwak, León, et al.. (2019). [Continuous glucose monitoring. Utility and indications].. PubMed. 79(1). 44–52. 2 indexed citations

Daín, Alejandro, et al.. (2016). Long chain polyunsaturated fatty acids (LCPUFAs) and nordihydroguaiaretic acid (NDGA) modulate metabolic and inflammatory markers in a spontaneous type 2 diabetes mellitus model (Stillman Salgado rats). Lipids in Health and Disease. 15(1). 205–205. 16 indexed citations

Repossi, G, et al.. (2015). Beneficial action of resveratrol: How and why?. Nutrition. 32(2). 174–178. 210 indexed citations

Repossi, G, et al.. (2013). Cognitive and motor perturbations in elderly with longstanding diabetes mellitus. Nutrition. 30(6). 628–635. 19 indexed citations

Repossi, G, Alejandro Daín, & Aldo R. Eynard. (2009). Dietary Manipulations of Polyunsaturated Fatty Acids, the Precursors of Endocannabinoids, and its Implications in Human Health and Disease. Current Nutrition & Food Science. 5(2). 112–125. 6 indexed citations

10.

Friz, Hernan Polo, et al.. (1997). [Treatment with tuberculostatic drugs: compliance at a general hospital].. PubMed. 55(1-2). 21–5. 3 indexed citations

11.

Williams, Bryan, et al.. (1988). DO YOUNG PATIENTS WITH DYSPEPSIA NEED INVESTIGATION?. The Lancet. 332(8624). 1349–1351. 137 indexed citations

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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