Cristina Cotobal

604 citations
11 papers · 310 · h-index 9

Impact in

Papers in

    • RNA Research and Splicing 6
    • Fungal and yeast genetics research 3
    • DNA Repair Mechanisms 2
    • Bioinformatics and Genomic Networks 2
    • Genomics and Chromatin Dynamics 2
    • Gene Regulatory Network Analysis 2
    • RNA modifications and cancer 2

Cristina Cotobal

11 papers receiving 310 citations

Peers

Cristina Cotobal
Comparison fields: 5 of 40
  • Aging 13
  • Endocrinology 27
  • Molecular Biology 287
  • Cancer Research 43
  • Plant Science 31
Replace Leila Touat‐Todeschini with:
Leila Touat‐Todeschini France
Svetlana A. Shabalina United States
Olga Zaslaver Canada
Kyotaro Hirashima Japan
Francesco Cioci Italy
Bum-Soo Lee United States
Nighat Noureen Pakistan
Tetsushi Iida Japan
Arisa Oda Japan
Hélène Scheer France
Cristina Cotobal relative to Leila Touat‐Todeschini France Leila Touat‐Todeschini's profile →
Citations per field
00.5×3.3×
Leila Touat‐Todeschini · 1×
Citations per year

Countries citing papers authored by Cristina Cotobal

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Cotobal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201057
2 201454
3 201846
4 201535
5 202032
6 201530
7 202122
8 201018
9 20219
10 20216
11 20251

About Cristina Cotobal

Cristina Cotobal is a scholar working on Molecular Biology, Genetics, Endocrinology, Cancer Research and Aging, having authored 11 papers that have together received 310 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Fungal and yeast genetics research (3 papers), DNA Repair Mechanisms (2 papers), Plant and Fungal Interactions Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Chromatin Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Aging (13 citations), Endocrinology (27 citations), Molecular Biology (287 citations), Cancer Research (43 citations) and Plant Science (31 citations). Cristina Cotobal has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Juan Mata, Caia D. S. Duncan, Jürg Bähler, Ayesha Hasan, Maria Rodríguez‐López, Maria João Amorim, Michał Małecki, Stephan Kamrad, Markus Ralser and Samuel Marguerat. Their work appears in journals such as PLoS Genetics, eLife, Nature Communications, Epigenetics & Chromatin and Molecular Systems 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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