Ygnacio Martínez‐Laguna

766 total citations
40 papers, 533 citations indexed

About

Ygnacio Martínez‐Laguna is a scholar working on Endocrinology, Infectious Diseases and Genetics. According to data from OpenAlex, Ygnacio Martínez‐Laguna has authored 40 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, 13 papers in Infectious Diseases and 13 papers in Genetics. Recurrent topics in Ygnacio Martínez‐Laguna's work include Escherichia coli research studies (18 papers), Bacterial Genetics and Biotechnology (12 papers) and Viral gastroenteritis research and epidemiology (10 papers). Ygnacio Martínez‐Laguna is often cited by papers focused on Escherichia coli research studies (18 papers), Bacterial Genetics and Biotechnology (12 papers) and Viral gastroenteritis research and epidemiology (10 papers). Ygnacio Martínez‐Laguna collaborates with scholars based in Mexico, United States and Spain. Ygnacio Martínez‐Laguna's co-authors include José L. Puente, Edmundo Calva, Alfredo G. Torres, Rosa del Carmen Rocha‐Gracia, Patricia Lozano-Zaraín, Margarita M. P. Arenas-Hernández, Cármen Torres, Maricarmen Rojas-López, Fabio Dal Bello and Jorge A. Girón and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ygnacio Martínez‐Laguna

38 papers receiving 523 citations

Peers

Ygnacio Martínez‐Laguna
Comparison fields: 5 of 78
  • Endocrinology 313
  • Molecular Medicine 170
  • Infectious Diseases 133
  • Food Science 128
  • Genetics 126
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Sara Dion France
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Ying Ye China
Xiaojü Lu China
Qiucheng Shi China
Alexis García United States
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Enrique Joffré Sweden
Ayaka Shima Japan
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Citations per field, relative to Ygnacio Martínez‐Laguna
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Citations per year, relative to Ygnacio Martínez‐Laguna
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Countries citing papers authored by Ygnacio Martínez‐Laguna

Since Specialization
Citations

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

Fields of papers citing papers by Ygnacio Martínez‐Laguna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ygnacio Martínez‐Laguna. 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 Ygnacio Martínez‐Laguna. The network helps show where Ygnacio Martínez‐Laguna may publish in the future.

Co-authorship network of co-authors of Ygnacio Martínez‐Laguna

This figure shows the co-authorship network connecting the top 25 collaborators of Ygnacio Martínez‐Laguna. A scholar is included among the top collaborators of Ygnacio Martínez‐Laguna 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 Ygnacio Martínez‐Laguna. Ygnacio Martínez‐Laguna 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 20
3 2
4 0
5 7
6 3
7 1
8 9
9 7
10 1
11
Virulence and Resistance Determinants of Uropathogenic Escherichia coli Strains Isolated from Pregnant and Non-Pregnant Women from Two States in Mexico
2
12 31
13 9
14 17
15 11
16 22
17 52
18 5
19 1
20 26

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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