Inés G. Muñoz

2.1k citations
39 papers · 1.4k indexed · h-index 20

Impact in

    • Enzyme Production and Characterization
    • Protein Structure and Dynamics
    • Heat shock proteins research
    • CRISPR and Genetic Engineering

Papers in

    • Enzyme Production and Characterization 4
    • DNA Repair Mechanisms 5
    • Ubiquitin and proteasome pathways 5
    • Genomics and Chromatin Dynamics 5
    • Protein Structure and Dynamics 3

Inés G. Muñoz

39 papers receiving 1.4k citations

Peers

Inés G. Muñoz
Comparison fields: 5 of 99
  • Biotechnology 165
  • Molecular Biology 1.0k
  • Cancer Research 167
  • Cell Biology 108
  • Business and International Management 10
Replace Ingar Leiros with:
Ingar Leiros Norway
Volker Schellenberger Germany
William R. Tschantz United States
Costante Ceccarini Italy
Jiantao Guo United States
Melissa S. Jurica United States
Zhimeng Wu China
Lennart Hansson Sweden
Yoshiki Narimatsu Denmark
Shingo Nishikori Japan
Inés G. Muñoz relative to Ingar Leiros Norway Ingar Leiros's profile →
Citations per field
00.5×1.7×
Ingar Leiros · 1×
Citations per year

Countries citing papers authored by Inés G. Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Inés G. Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inés G. Muñoz. 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 Inés G. Muñoz. The network helps show where Inés G. Muñoz may publish in the future.

Co-authors

The 25 scholars most cited alongside Inés G. Muñoz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inés G. Muñoz Line = papers co-authored together Inés G. Muñoz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20235
3 20238
4 202011
5 201833
6 20144
7 201482
8 201220
9 201224
10 201136
11 2011116
12 2010168
13 2010111
14 2008129
15 200729
16 200673
17 200536
18 200311
19 200182
20 200019

About Inés G. Muñoz

Inés G. Muñoz is a scholar working on Biotechnology, Molecular Biology, Cell Biology, Oncology and Cancer Research, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (9 papers), DNA Repair Mechanisms (5 papers), Microtubule and mitosis dynamics (5 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (5 papers), Genomics and Chromatin Dynamics (5 papers), Enzyme Production and Characterization (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Biotechnology (165 citations), Molecular Biology (1.0k citations), Cancer Research (167 citations), Cell Biology (108 citations) and Business and International Management (10 citations). Inés G. Muñoz has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Guillermo Montoya, Francisco J. Blanco, José Valpuesta, Pablo Mesa, Hugo Yébenes, Jerry Ståhlberg, Sherry L. Mowbray, Jesús Prìeto, María J. Marcaida and Wimal Ubhayasekera. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Frontiers in Oncology, Journal of Molecular Biology and International Journal of Biological Macromolecules.

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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