Karla Rubio

778 citations
21 papers · 338 · h-index 12

Impact in

Papers in

    • RNA modifications and cancer 8
    • RNA Research and Splicing 5
    • Epigenetics and DNA Methylation 4
    • Genomics and Chromatin Dynamics 2
    • Glycosylation and Glycoproteins Research 2
    • Cancer-related molecular mechanisms research 3

Karla Rubio

20 papers receiving 330 citations

Peers

Karla Rubio
Comparison fields: 5 of 88
  • Cancer Research 74
  • Aging 6
  • Molecular Biology 189
  • Health, Toxicology and Mutagenesis 28
  • Pulmonary and Respiratory Medicine 47
Replace R Bhayadia with:
R Bhayadia Germany
Tianfa Li China
Feven Tigistu‐Sahle Finland
Viera Habalová Slovakia
Cristina Cosentino Italy
K. P. Tamilarasan India
Aleksandra Dąbrowska United Kingdom
Xiaomin Wu United States
Karla Rubio relative to R Bhayadia Germany R Bhayadia's profile →
Citations per field
00.5×3.1×
R Bhayadia · 1×
Citations per year

Countries citing papers authored by Karla Rubio

Since Specialization
Citations

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

Fields of papers citing papers by Karla Rubio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 201839
3 201935
4 202024
5 202323
6 202321
7 202420
8 202219
9 202319
10 202119
11 201918
12 201914
13 20229
14 20226
15 20245
16 20212
17 20232
18 20241
19 20221
20 20241

About Karla Rubio

Karla Rubio is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 338 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Genomics and Chromatin Dynamics (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Cancer Research (74 citations), Aging (6 citations), Molecular Biology (189 citations), Health, Toxicology and Mutagenesis (28 citations) and Pulmonary and Respiratory Medicine (47 citations). Karla Rubio has collaborated with scholars based in Germany, Mexico and France. Frequent co-authors include Guillermo Barreto, Stephanie Dobersch, Pouya Sarvari, Indrabahadur Singh, Małgorzata Wygrecka, Thomas Braun, Johannes Graumann, Gergana Dobreva, Aditi Mehta and Julio Cordero. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, iScience, Nature Genetics and British Journal of Cancer.

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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