Adán Valladares‐Salgado

3.7k citations
50 papers · 717 indexed · h-index 16
Topics
Genetic Associations and Epidemiology (8 papers)Diabetes Management and Research (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE

In The Last Decade

Adán Valladares‐Salgado

49 papers receiving 702 citations

Peers

Adán Valladares‐Salgado
Comparison fields: 5 of 95
  • Molecular Biology 222
  • Genetics 164
  • Endocrinology, Diabetes and Metabolism 163
  • Physiology 112
  • Epidemiology 100
Replace Maria Mavilio with:
Maria Mavilio Italy
Katsuya Yamazaki Japan
Yanping Gong China
Dennis C.Y. Yeung Hong Kong
Jung Hoon Lee South Korea
Marlene Domínguez Spain
Christoph Grander Austria
Andrea Repaci Italy
Fuki Ikeda Japan
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Citations per field
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Citations per year

Countries citing papers authored by Adán Valladares‐Salgado

Since Specialization
Citations

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

Fields of papers citing papers by Adán Valladares‐Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adán Valladares‐Salgado. 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 Adán Valladares‐Salgado. The network helps show where Adán Valladares‐Salgado may publish in the future.

Co-authorship network of co-authors of Adán Valladares‐Salgado

This figure shows the co-authorship network connecting the top 25 collaborators of Adán Valladares‐Salgado. A scholar is included among the top collaborators of Adán Valladares‐Salgado 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 Adán Valladares‐Salgado. Adán Valladares‐Salgado 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 1
2 1
3 41
4 5
5 10
6 7
7 7
8
Association of V249I and T280M variants of fractalkine receptor CX3CR1 with carotid intima-media thickness in a mexican population with type 2 diabetes.
3
9
[Genome-wide association in type 2 diabetes and its clinical application].
3
10 12
11 6
12 6
13 34
14 4
15 15
16 46
17 9
18 2
19 15
20 55

About Adán Valladares‐Salgado

Adán Valladares‐Salgado is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Endocrine and Autonomic Systems, having authored 50 papers that have together received 717 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Diabetes Management and Research (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (163 citations), Endocrine and Autonomic Systems (41 citations) and Genetics (164 citations). Adán Valladares‐Salgado has collaborated with scholars based in Mexico, Canada and United States. Frequent co-authors include Miguel Cruz, Esteban J. Parra, Niels H. Wacher, Jorge Escobedo, Rita A. Gómez‐Díaz, Jaime Gómez-Zamudio, Eugenia Flores‐Alfaro, Clara Ortega‐Camarillo, Jesús Peralta‐Romero and Ana I. Burguete-García. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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