Llorenç Coll-Mulet

815 citations
12 papers · 663 · h-index 11

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • Cell death mechanisms and regulation 3
    • Histone Deacetylase Inhibitors Research 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Protein Degradation and Inhibitors 1
    • Chronic Lymphocytic Leukemia Research 8

Llorenç Coll-Mulet

12 papers receiving 654 citations

Peers

Llorenç Coll-Mulet
Comparison fields: 5 of 75
  • Genetics 156
  • Oncology 263
  • Molecular Biology 452
  • Cancer Research 93
  • Hematology 52
Replace Mercè de Frías with:
Mercè de Frías Spain
Ana M. Cosialls Spain
Daniel Iglesias‐Serret Spain
Sagarika Ray United States
Wei Wei Prior United States
Sayer Al-harbi Saudi Arabia
Sarah A. Best Australia
Vladimir Cmiljanović Switzerland
Ravesanker Ezhilarasan United States
Gabriella Cirmena Italy
Llorenç Coll-Mulet relative to Mercè de Frías Spain Mercè de Frías's profile →
Citations per field
00.5×1.5×1.8×
Mercè de Frías · 1×
Citations per year

Countries citing papers authored by Llorenç Coll-Mulet

Since Specialization
Citations

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

Fields of papers citing papers by Llorenç Coll-Mulet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Llorenç Coll-Mulet. 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 Llorenç Coll-Mulet. The network helps show where Llorenç Coll-Mulet may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2006181
2 2011109
3 201090
4 200665
5 200645
6 200643
7 201538
8 200930
9 201122
10 200921
11 200912
12 20127

About Llorenç Coll-Mulet

Llorenç Coll-Mulet is a scholar working on Molecular Biology, Genetics, Oncology, Pharmacology and Cancer Research, having authored 12 papers that have together received 663 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Cancer-related Molecular Pathways (3 papers), Cell death mechanisms and regulation (3 papers), Histone Deacetylase Inhibitors Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Inflammatory mediators and NSAID effects (2 papers), Protein Degradation and Inhibitors (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Genetics (156 citations), Oncology (263 citations), Molecular Biology (452 citations), Cancer Research (93 citations) and Hematology (52 citations). Llorenç Coll-Mulet has collaborated with scholars based in Spain, Ireland and France. Frequent co-authors include Joan Gil, Daniel Iglesias‐Serret, Ana M. Cosialls, Mercè de Frías, Antonio F. Santidrián, Gabriel Pons, Esther Castaño, Montserrat Barragán, Clara Campàs and Alícia Domingo. Their work appears in journals such as Blood, Clinical & Translational Oncology, Clinical Epigenetics, Journal of Leukocyte Biology and Epigenetics.

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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