Ernesto Guzmán

2.7k citations
12 papers · 2.1k indexed · 2 hit papers · h-index 11
Topics
Genomics and Chromatin Dynamics (6 papers)RNA Research and Splicing (3 papers)Protein Degradation and Inhibitors (3 papers)
Partner nations
United StatesChileJapan

In The Last Decade

Ernesto Guzmán

11 papers receiving 2.1k citations

Hit Papers

The CREB Coactivator TORC2 Functions as a Calcium- and cA...200320262010201820042003100200300400500

Peers

Ernesto Guzmán
Comparison fields: 5 of 101
  • Molecular Biology 1.6k
  • Genetics 431
  • Cellular and Molecular Neuroscience 315
  • Surgery 254
  • Oncology 189
Replace Xi He with:
Xi He United States
T Hai United States
Kai Schönig Germany
Zehava Levy Israel
Bernward Klocke Germany
Dario De Cesare Italy
Majid Hafezparast United Kingdom
Maurice N. Treacy United States
Rory Kirchner United States
M. E. Greenberg United States
Ernesto Guzmán relative to Xi He United States Xi He's profile →
Citations per field
00.5×10×14.6×
Xi He · 1×
Citations per year

Countries citing papers authored by Ernesto Guzmán

Since Specialization
Citations

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

Fields of papers citing papers by Ernesto Guzmán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ernesto Guzmán. 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 Ernesto Guzmán. The network helps show where Ernesto Guzmán may publish in the future.

Co-authorship network of co-authors of Ernesto Guzmán

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 221
3 98
4 32
5
The CREB Coactivator TORC2 Functions as a Calcium- and cAMP-Sensitive Coincidence Detectorbreakdown →
541
6 160
7 11
8 215
9 503
10 82
11 233
12 32

About Ernesto Guzmán

Ernesto Guzmán is a scholar working on Molecular Biology, Statistics and Probability and Genetics, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Aging (43 citations), Molecular Biology (1.6k citations) and Cellular and Molecular Neuroscience (315 citations). Ernesto Guzmán has collaborated with scholars based in United States, Chile and Japan. Frequent co-authors include Marc Montminy, Michael D. Conkright, Gianluca Canettieri, Robert A. Screaton, John B. Hogenesch, Loren Miraglia, John R. Yates, John T. Lis, Erik D. Andrulis and Janis Werner. Their work appears in journals such as Cell, Journal of Biological Chemistry and Genes & Development.

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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