Ximena Paez-Colasante

754 citations
10 papers · 553 indexed · h-index 9
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research 7
  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research 7
    • Neurological diseases and metabolism 1
  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research 7
    • Neurological diseases and metabolism 1
    • RNA Research and Splicing 3
    • Muscle Physiology and Disorders 2
    • Histone Deacetylase Inhibitors Research 2
    • RNA modifications and cancer 1
    • Prion Diseases and Protein Misfolding 1

Ximena Paez-Colasante

10 papers receiving 549 citations

Peers

Ximena Paez-Colasante
Comparison fields: 5 of 67
  • Genetics 248
  • Neurology 348
  • Neurology 83
  • Biological Psychiatry 18
  • Molecular Biology 329
Replace Jenna M. Gregory with:
Jenna M. Gregory United Kingdom
Doaa M. Taha United Kingdom
Maria Chiara Trolese Italy
Valeria Gerbino Italy
Kerstin E. Braunstein United States
I‐Fang Wang Taiwan
Tijs Vandoorne Belgium
Rob Moccia United States
Eveliina Pollari Finland
Burcin Ikiz United States
Ximena Paez-Colasante relative to Jenna M. Gregory United Kingdom Jenna M. Gregory's profile →
Citations per field
00.5×
Jenna M. Gregory · 1×
Citations per year

Countries citing papers authored by Ximena Paez-Colasante

Since Specialization
Citations

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

Fields of papers citing papers by Ximena Paez-Colasante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ximena Paez-Colasante. 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 Ximena Paez-Colasante. The network helps show where Ximena Paez-Colasante may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ximena Paez-Colasante, 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 Ximena Paez-Colasante Line = papers co-authored together Ximena Paez-Colasante links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20226
2 202017
3 201970
4 2018109
5 201835
6 201610
7 201572
8 2015173
9 201524
10 201337

About Ximena Paez-Colasante

Ximena Paez-Colasante is a scholar working on Genetics, Neurology and Molecular Biology, having authored 10 papers that have together received 553 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers), RNA Research and Splicing (3 papers), Muscle Physiology and Disorders (2 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA modifications and cancer (1 paper), Neurological diseases and metabolism (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Genetics (248 citations), Neurology (348 citations) and Neurology (83 citations). Ximena Paez-Colasante has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Eva L. Feldman, Claudia Figueroa‐Romero, Stacey A. Sakowski, Stephen A. Goutman, Junguk Hur, Mendell Rimer, Kai Guo, J. Simon Lunn, Kevin S. Chen and Raymond Yung. Their work appears in journals such as Nature Communications, PLoS ONE and Molecular and Cellular Biology.

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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