Pablo García‐Solís

1.1k total citations
41 papers, 658 citations indexed

About

Pablo García‐Solís is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Pablo García‐Solís has authored 41 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Pathology and Forensic Medicine and 6 papers in Genetics. Recurrent topics in Pablo García‐Solís's work include Thyroid Disorders and Treatments (12 papers), Neonatal Health and Biochemistry (4 papers) and Oral microbiology and periodontitis research (4 papers). Pablo García‐Solís is often cited by papers focused on Thyroid Disorders and Treatments (12 papers), Neonatal Health and Biochemistry (4 papers) and Oral microbiology and periodontitis research (4 papers). Pablo García‐Solís collaborates with scholars based in Mexico, United States and Cuba. Pablo García‐Solís's co-authors include Juan Carlos Solís‐S, Elhadi M. Yahia, Carmen Aceves, Guadalupe Delgado, Brenda Anguiano, Mauricio Díaz‐Muñoz, Hebert Luís Hernández-Montiel, Omar Arroyo-Helguera, Ludivina Robles‐Osorio and Teresa García-Gasca and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Pablo García‐Solís

40 papers receiving 622 citations

Peers

Pablo García‐Solís
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 200
  • Molecular Biology 154
  • Pathology and Forensic Medicine 79
  • Plant Science 68
  • Nutrition and Dietetics 65
Replace Majid Shokoohi with:
Majid Shokoohi Iran
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Mohammad Adil India
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Yaping Jiang China
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Citations per field, relative to Pablo García‐Solís
Pablo García‐Solís · 1×
Citations per year, relative to Pablo García‐Solís
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Countries citing papers authored by Pablo García‐Solís

Since Specialization
Citations

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

Fields of papers citing papers by Pablo García‐Solís

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo García‐Solís. 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 Pablo García‐Solís. The network helps show where Pablo García‐Solís may publish in the future.

Co-authorship network of co-authors of Pablo García‐Solís

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo García‐Solís. A scholar is included among the top collaborators of Pablo García‐Solís 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 Pablo García‐Solís. Pablo García‐Solís 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
# Work Indexed citations
1 2
2 2
3 1
4 4
5 12
6 2
7 2
8 25
9 3
10 13
11 15
12 14
13 24
14 17
15 26
16 7
17 10
18 8
19 48
20 64

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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