Concepción Muñoz

645 citations
13 papers · 533 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Colorectal Cancer Screening and Detection

Papers in

Concepción Muñoz

13 papers receiving 526 citations

Peers

Concepción Muñoz
Comparison fields: 5 of 61
  • Cancer Research 224
  • Oncology 220
  • Molecular Biology 341
  • Pathology and Forensic Medicine 75
  • Gastroenterology 17
Replace H. Tsuda with:
H. Tsuda Japan
Gian Luca Rampioni Vinciguerra Italy
Marco Petronio France
Yuji Shimoda Japan
Michiyo Saimura Japan
Jacqueline M. Liu Taiwan
Jacob Elebro Sweden
Anne M. Macgregor‐Das United States
Runhua Feng China
Eric T. Sawey United States
Concepción Muñoz relative to H. Tsuda Japan H. Tsuda's profile →
Citations per field
00.5×3.3×
H. Tsuda · 1×
Citations per year

Countries citing papers authored by Concepción Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Concepción Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2008197
2 200780
3 200371
4 201160
5 200738
6 201136
7 199914
8 201511
9 200310
10 20057
11 19954
12 20154
13
[Analysis of telomeric length in epithelial carcinoma of the ovary].
19981

About Concepción Muñoz

Concepción Muñoz is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Oncology and Surgery, having authored 13 papers that have together received 533 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Inflammatory Bowel Disease (3 papers), RNA modifications and cancer (3 papers), Liver Diseases and Immunity (2 papers), Colorectal Cancer Screening and Detection (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (2 papers) and Microscopic Colitis (1 paper). The work is most often cited by research in Cancer Research (224 citations), Oncology (220 citations), Molecular Biology (341 citations), Pathology and Forensic Medicine (75 citations) and Gastroenterology (17 citations). Concepción Muñoz has collaborated with scholars based in Spain. Frequent co-authors include Félix Bonilla, Rufo Rodríguez, Javier Silva, Vanesa García‐Barberán, Cristina Peña, J.M. Jurado, Raquel Díaz, Yolanda Lorenzo, Fernando García López and Gemma Domínguez. Their work appears in journals such as Clinical Cancer Research, Scandinavian Journal of Gastroenterology, Genes Chromosomes and Cancer, Histopathology and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

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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