Marc Dabad

2.4k citations
26 papers · 578 · h-index 14

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • Genomics and Chromatin Dynamics 3
    • Epigenetics and DNA Methylation 3
    • Genetic Syndromes and Imprinting 2

Marc Dabad

25 papers receiving 572 citations

Peers

Marc Dabad
Comparison fields: 5 of 106
  • Horticulture 5
  • Immunology 104
  • Molecular Biology 290
  • Cancer Research 63
  • Genetics 114
Replace Martina Kopp with:
Martina Kopp Norway
Anna Ferrer-Admetlla Spain
Petr Pajer Czechia
Stephan Hütter Germany
Nieves Sandoval C. Peru
Giovanni Pietro Burrai Italy
Birgit Beyermann Germany
Sarah LaMere United States
Mariana Palma Portugal
Pranvera Ikonomi United States
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Citations per field
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Citations per year

Countries citing papers authored by Marc Dabad

Since Specialization
Citations

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

Fields of papers citing papers by Marc Dabad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201792
2 201860
3 201647
4 201840
5 201840
6 201739
7 201735
8 202227
9 201724
10 201724
11 201923
12 202118
13 202217
14 201617
15 201413
16 202212
17 20239
18 20239
19 20229
20 20187

About Marc Dabad

Marc Dabad is a scholar working on Molecular Biology, Genetics, Plant Science, Nature and Landscape Conservation and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 578 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Animal Virus Infections Studies (2 papers), Plant Virus Research Studies (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Horticulture (5 citations), Immunology (104 citations), Molecular Biology (290 citations), Cancer Research (63 citations) and Genetics (114 citations). Marc Dabad has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Anna Esteve‐Codina, Simon Heath, Jèssica Gómez‐Garrido, Tyler Alioto, María Ángeles Esteban, Marta Gut, Alberto Cuesta, Elena Chaves-Pozo, Belén Lorente-Galdós and Tomàs Marquès‐Bonet. Their work appears in journals such as Scientific Reports, PLoS ONE, Molecular Cancer Therapeutics, Biotechnology and Bioengineering and Nature Communications.

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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