Marta Tapia

607 citations
13 papers · 366 indexed · h-index 10

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Genomics and Chromatin Dynamics
    • Protein Degradation and Inhibitors
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Histone Deacetylase Inhibitors Research

Papers in

Marta Tapia

13 papers receiving 365 citations

Peers

Marta Tapia
Comparison fields: 5 of 44
  • Hematology 121
  • Molecular Biology 310
  • Cancer Research 40
  • Genetics 19
  • Immunology 30
Replace Sonali Narang with:
Sonali Narang United States
Cécile K. Lopez France
Kathrin M. Bernt United States
Gue Su Chang United States
Marissa Rashkovan Canada
Emanuel Maethner Germany
Jennifer Jaques Netherlands
Giacomo Volpe United Kingdom
Sofie Peirs Belgium
Jessica Tatarek United States
Marta Tapia relative to Sonali Narang United States Sonali Narang's profile →
Citations per field
00.5×5.3×
Sonali Narang · 1×
Citations per year

Countries citing papers authored by Marta Tapia

Since Specialization
Citations

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

Fields of papers citing papers by Marta Tapia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 202315
2 202310
3 20232
4 202223
5 202221
6 20221
7 202117
8 202176
9 201821
10 201751
11 20179
12 201620
13 2013100

About Marta Tapia

Marta Tapia is a scholar working on Aging, Hematology, Molecular Biology, Immunology and Cancer Research, having authored 13 papers that have together received 366 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (5 papers), Protein Degradation and Inhibitors (4 papers), RNA modifications and cancer (2 papers), Chromatin Remodeling and Cancer (2 papers), interferon and immune responses (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Hematology (121 citations), Molecular Biology (310 citations), Cancer Research (40 citations), Genetics (19 citations) and Immunology (30 citations). Marta Tapia has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Thomas A. Milne, Erica Ballabio, Jon Kerry, Huimin Geng, Laura Godfrey, Emmanouela Repapi, Marella de Bruijn, Ross Thorne, Robert G. Roeder and Phillip North. Their work appears in journals such as Nature Communications, Cell Reports, Genome Research, HemaSphere and Leukemia.

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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