Martín Peralta-Gil

3.9k citations
9 papers · 908 indexed · h-index 8
Topics
Microbial Metabolic Engineering and Bioproduction (4 papers)Bioinformatics and Genomic Networks (3 papers)Bacterial Genetics and Biotechnology (2 papers)
Partner nations
MexicoAustraliaSpain

In The Last Decade

Martín Peralta-Gil

8 papers receiving 892 citations

Peers

Martín Peralta-Gil
Comparison fields: 5 of 87
  • Molecular Biology 756
  • Genetics 304
  • Ecology 86
  • Biomedical Engineering 74
  • Biomaterials 43
Replace José Utrilla with:
José Utrilla Mexico
Troy E. Sandberg United States
Stephen Federowicz United States
Ron Ortenberg Israel
Kyungyun Cho South Korea
V. Karuppiah United Kingdom
Janine Guespin‐Michel France
Danfeng Zhang China
Duohong Sheng China
Sibei Xu United States
Martín Peralta-Gil relative to José Utrilla Mexico José Utrilla's profile →
Citations per field
00.5×1.7×
José Utrilla · 1×
Citations per year

Countries citing papers authored by Martín Peralta-Gil

Since Specialization
Citations

This map shows the geographic impact of Martín Peralta-Gil'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 Martín Peralta-Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Peralta-Gil more than expected).

Fields of papers citing papers by Martín Peralta-Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martín Peralta-Gil. 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 Martín Peralta-Gil. The network helps show where Martín Peralta-Gil may publish in the future.

Co-authorship network of co-authors of Martín Peralta-Gil

This figure shows the co-authorship network connecting the top 25 collaborators of Martín Peralta-Gil. A scholar is included among the top collaborators of Martín Peralta-Gil 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 Martín Peralta-Gil. Martín Peralta-Gil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 17
2 0
3 8
4 22
5 275
6 18
7 136
8 368
9 64

About Martín Peralta-Gil

Martín Peralta-Gil is a scholar working on General Agricultural and Biological Sciences, Soil Science and Agronomy and Crop Science, having authored 9 papers that have together received 908 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Bioinformatics and Genomic Networks (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Biology (756 citations), Genetics (304 citations) and Endocrinology (37 citations). Martín Peralta-Gil has collaborated with scholars based in Mexico, Australia and Spain. Frequent co-authors include Socorro Gama‐Castro, Alberto Santos-Zavaleta, Julio Collado‐Vides, César Bonavides-Martínez, Ingrid M. Keseler, Markus Krummenacker, Suzanne Paley, Peter D. Karp, Ian T. Paulsen and Alexander G. Shearer. Their work appears in journals such as Nucleic Acids Research, Journal of Bacteriology and BMC Genomics.

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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