Isabel Martínez‐Argudo

1.2k citations
31 papers · 965 indexed · h-index 21
Topics
Bacterial Genetics and Biotechnology (14 papers)Escherichia coli research studies (10 papers)Bacteriophages and microbial interactions (5 papers)
Partner nations
United KingdomSpainJapan

In The Last Decade

Isabel Martínez‐Argudo

30 papers receiving 952 citations

Peers

Isabel Martínez‐Argudo
Comparison fields: 5 of 83
  • Molecular Biology 399
  • Genetics 318
  • Endocrinology 312
  • Plant Science 163
  • Infectious Diseases 155
Replace Yan Ren with:
Yan Ren China
Aaron M. Nuss Germany
Maarten Mols Netherlands
Mauricio H. Pontes United States
Hongjin Zheng United States
Iel Soo Bang South Korea
Aurélia Battesti France
Alfredo Diez Sweden
Bérengère Ize France
Emmanuele Severi United Kingdom
Isabel Martínez‐Argudo relative to Yan Ren China Yan Ren's profile →
Citations per field
00.5×2.6×
Yan Ren · 1×
Citations per year

Countries citing papers authored by Isabel Martínez‐Argudo

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Martínez‐Argudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Martínez‐Argudo

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Martínez‐Argudo. A scholar is included among the top collaborators of Isabel Martínez‐Argudo 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 Isabel Martínez‐Argudo. Isabel Martínez‐Argudo 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 7
3 21
4 45
5 19
6 11
7 40
8 49
9 13
10 64
11 20
12 22
13 39
14 16
15 23
16 49
17 121
18 18
19 30
20 36

About Isabel Martínez‐Argudo

Isabel Martínez‐Argudo is a scholar working on Endocrinology, Molecular Medicine and Genetics, having authored 31 papers that have together received 965 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Escherichia coli research studies (10 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Endocrinology (312 citations), Molecular Medicine (73 citations) and Genetics (318 citations). Isabel Martínez‐Argudo has collaborated with scholars based in United Kingdom, Spain and Japan. Frequent co-authors include Ray Dixon, Richard Little, Ariel Blocker, Mark A. Jepson, Philip E. Johnson, Neil Shearer, Rosa M. Ruiz‐Vázquez, Francisco J. Murillo, Asunción Contreras and Raúl Calero. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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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