Daniel Azuara

905 citations
23 papers · 492 · h-index 12

Impact in

Papers in

    • Colorectal Cancer Treatments and Studies 4
    • Colorectal Cancer Screening and Detection 3
    • Cancer Genomics and Diagnostics 5

Daniel Azuara

22 papers receiving 490 citations

Peers

Daniel Azuara
Comparison fields: 5 of 60
  • Cancer Research 100
  • Pathology and Forensic Medicine 109
  • Oncology 127
  • Molecular Biology 206
  • Pulmonary and Respiratory Medicine 64
Replace Wen‐Son Hsieh with:
Wen‐Son Hsieh Singapore
S. Zúñiga Spain
Sanjay R. Hegde United States
C.‐J. Hsieh Germany
Ya-Nong Wang China
Yasuyuki Shigematsu Japan
Ye-Young Rhee South Korea
Eva Galle Belgium
Salmon Rj France
Hailong Chen China
Daniel Azuara relative to Wen‐Son Hsieh Singapore Wen‐Son Hsieh's profile →
Citations per field
00.5×1.5×2.4×
Wen‐Son Hsieh · 1×
Citations per year

Countries citing papers authored by Daniel Azuara

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Azuara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 200961
3 201057
4 201242
5 201236
6 200726
7 200724
8 201922
9 200419
10 201819
11 201615
12 201612
13 202011
14 201310
15 20039
16 20058
17 20047
18 20164
19 20124
20 20091

About Daniel Azuara

Daniel Azuara is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 492 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Lung Cancer Treatments and Mutations (3 papers), Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Screening and Detection (3 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Cancer Research (100 citations), Pathology and Forensic Medicine (109 citations), Oncology (127 citations), Molecular Biology (206 citations) and Pulmonary and Respiratory Medicine (64 citations). Daniel Azuara has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Gabriel Capellá, Vı́ctor Moreno, Javier de, Francisco Rodríguez‐Moranta, Jordi Guardiola, Manel Esteller, Miguel A. Peinado, Sebastiano Biondo, Georgina Hotter and Anna Solà. Their work appears in journals such as Journal of Clinical Oncology, Inflammatory Bowel Diseases, Annals of Oncology, Cancer Prevention Research and JCO Precision Oncology.

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.

Explore authors with similar magnitude of impact