Guillermo A. Vega‐López

544 citations
13 papers · 357 indexed · h-index 9

Guillermo A. Vega‐López

13 papers receiving 354 citations

Peers

Guillermo A. Vega‐López
Comparison fields: 5 of 69
  • Tourism, Leisure and Hospitality Management 9
  • Developmental Neuroscience 24
  • Cell Biology 74
  • Molecular Biology 230
  • Genetics 72
Replace Santiago Cerrizuela with:
Santiago Cerrizuela Argentina
Lisa M. Goering United States
Jonathan J. Wilde United States
Mia J. Konjikusic United States
Hyoung–Soo Lim South Korea
Emily Tuttle United States
Eerik Aunin United Kingdom
Kirsty Turner Australia
Asma Chaoui France
William C. Dunty United States
Guillermo A. Vega‐López relative to Santiago Cerrizuela Argentina Santiago Cerrizuela's profile →
Citations per field
00.5×3.5×
Santiago Cerrizuela · 1×
Citations per year

Countries citing papers authored by Guillermo A. Vega‐López

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo A. Vega‐López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillermo A. Vega‐López. 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 Guillermo A. Vega‐López. The network helps show where Guillermo A. Vega‐López may publish in the future.

Co-authorship network

The 19 scholars most cited alongside Guillermo A. Vega‐López, 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 Guillermo A. Vega‐López Line = papers co-authored together Guillermo A. Vega‐López links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20212
2 202042
3 202025
4 2018124
5 20186
6 201818
7 20186
8 20181
9 201748
10 201515
11 201543
12 201311
13 201216

About Guillermo A. Vega‐López

Guillermo A. Vega‐López is a scholar working on Tourism, Leisure and Hospitality Management, Developmental Neuroscience and Molecular Biology, having authored 13 papers that have together received 357 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (8 papers), Developmental Biology and Gene Regulation (6 papers), Pluripotent Stem Cells Research (2 papers), Epigenetics and DNA Methylation (2 papers), Congenital heart defects research (2 papers), Microtubule and mitosis dynamics (2 papers), Prenatal Screening and Diagnostics (2 papers) and Fermentation and Sensory Analysis (1 paper). The work is most often cited by research in Tourism, Leisure and Hospitality Management (9 citations), Developmental Neuroscience (24 citations) and Cell Biology (74 citations). Guillermo A. Vega‐López has collaborated with scholars based in Argentina, Mexico and Germany. Frequent co-authors include Manuel J. Aybar, Santiago Cerrizuela, Celeste Tríbulo, Iván Velasco, Juan Pablo Fernández, Tristan Agüero, Miguel Fernández de Ullivarri, Lucía M. Mendoza, Raúl R. Raya and Caroline Borday. Their work appears in journals such as International Journal of Molecular Sciences, Developmental Biology and eLife.

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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