Daniel Azuara

23 papers receiving 600 citations

Peers

Daniel Azuara
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 166
  • Cancer Research 136
  • Ecological Modeling 30
  • Oncology 169
  • Small Animals 35
Replace Francesca Guerrini with:
Francesca Guerrini Italy
James G. Lorigan United States
Anju Zhang China
Yajuan J. Liu United States
Josée Doyon Canada
Bruce Moran Ireland
Richard J. Reynolds United States
Francesco Borrini Italy
Sadie Johnson United States
Jason M. Jones United States
Daniel Azuara relative to Francesca Guerrini Italy Francesca Guerrini's profile →
Citations per field
00.5×4.5×
Francesca Guerrini · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010116
2 2013102
3 200961
4 201057
5 201242
6 201236
7 200726
8 200724
9 201922
10 201819
11 200418
12 201615
13 201612
14 202011
15 201311
16 20039
17 20058
18 20047
19 20164
20 20124

About Daniel Azuara

Daniel Azuara is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Molecular Biology and Surgery, having authored 24 papers that have together received 607 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Genetic factors in colorectal cancer (7 papers), Colorectal Cancer Screening and Detection (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Epigenetics and DNA Methylation (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Clinical Nutrition and Gastroenterology (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (166 citations), Cancer Research (136 citations), Ecological Modeling (30 citations), Oncology (169 citations) and Small Animals (35 citations). Daniel Azuara has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Gabriel Capellá, Vı́ctor Moreno, Javier de, Francisco Rodríguez‐Moranta, Jordi Guardiola, Manel Esteller, Sebastiano Biondo, Miguel A. Peinado, Gerardo Ceballos and Carlos Manterola. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Inflammatory Bowel Diseases, Molecular Cancer Therapeutics and British Journal of Cancer.

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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