Manuel Serrano‐Ríos

15.8k citations
103 papers · 3.8k indexed · 1 hit paper · h-index 32

Manuel Serrano‐Ríos

100 papers receiving 3.7k citations

Hit Papers

A New International Diabetes Federation (IDF) Worldwide D...20052026201220192005200400600

Peers

Manuel Serrano‐Ríos
Comparison fields: 5 of 134
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Epidemiology 932
  • Molecular Biology 764
  • Physiology 735
  • Cardiology and Cardiovascular Medicine 636
Replace Leonid Poretsky with:
Leonid Poretsky United States
Albert Goday Spain
W.H. Linda Kao United States
Albert Lecube Spain
Claire Lévy‐Marchal France
Annick Fontbonne France
Darcy B. Carr United States
Davide Carvalho Portugal
Kalpana Luthra India
Iona Y. Millwood United Kingdom
Manuel Serrano‐Ríos relative to Leonid Poretsky United States Leonid Poretsky's profile →
Citations per field
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Leonid Poretsky · 1×
Citations per year

Countries citing papers authored by Manuel Serrano‐Ríos

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Serrano‐Ríos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Serrano‐Ríos. 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 Manuel Serrano‐Ríos. The network helps show where Manuel Serrano‐Ríos may publish in the future.

Co-authorship network of co-authors of Manuel Serrano‐Ríos

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Serrano‐Ríos. A scholar is included among the top collaborators of Manuel Serrano‐Ríos 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 Manuel Serrano‐Ríos. Manuel Serrano‐Ríos 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 0
2
Incidence of type 2 diabetes in the elderly in Central Spain: Association with socioeconomic status, educational level, and other risk factors
13
3 10
4 13
5 16
6 15
7 14
8 24
9 42
10 48
11 40
12 17
13 14
14 40
15 14
16 99
17 19
18 58
19 3
20 5

About Manuel Serrano‐Ríos

Manuel Serrano‐Ríos is a scholar working on Microbiology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 103 papers that have together received 3.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers), Diabetes and associated disorders (15 papers) and Diabetes Management and Research (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Physiology (735 citations) and Cardiology and Cardiovascular Medicine (636 citations). Manuel Serrano‐Ríos has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Paul Zimmet, K. G. M. M. Alberti, Nicholas G. Martin, José Luis González‐Sánchez, Cristina Fernández, Milagros Pérez‐Barba, Arturo Corbatón Anchuelo, Katja K.H. Aben, Rafael Gabriel and Steven M. Haffner. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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