Enric Domingo

12.3k citations
119 papers · 3.6k indexed · 1 hit paper · h-index 29
Topics
Genetic factors in colorectal cancer (28 papers)Colorectal Cancer Treatments and Studies (28 papers)Cancer Genomics and Diagnostics (22 papers)

In The Last Decade

Enric Domingo

117 papers receiving 3.5k citations

Hit Papers

Deep learning for prediction of colorectal cancer outcome...20202026202220242020100200300

Peers

Enric Domingo
Comparison fields: 5 of 126
  • Oncology 1.7k
  • Pathology and Forensic Medicine 1.2k
  • Molecular Biology 1000
  • Cancer Research 928
  • Pulmonary and Respiratory Medicine 606
Replace Naoyoshi Onoda with:
Naoyoshi Onoda Japan
Arild Nesbakken Norway
Hyojin Kim South Korea
Alessandro Rizzo Italy
M. Elizabeth H. Hammond United States
Young Kwang Chae United States
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Kang Mo Kim South Korea
Christophe Penna France
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Enric Domingo relative to Naoyoshi Onoda Japan Naoyoshi Onoda's profile →
Citations per field
00.5×1.5×2.2×
Naoyoshi Onoda · 1×
Citations per year

Countries citing papers authored by Enric Domingo

Since Specialization
Citations

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

Fields of papers citing papers by Enric Domingo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enric Domingo

This figure shows the co-authorship network connecting the top 25 collaborators of Enric Domingo. A scholar is included among the top collaborators of Enric Domingo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Enric Domingo. Enric Domingo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 1
3 3
4 5
5 9
6 73
7 69
8 23
9 20
10 1
11 6
12 262
13
Evaluation of PIK3CA mutation as a predictor of benefit from NSAID therapy in colorectal cancer
7
14 252
15 3
16 75
17 2
18 1
19 32
20 3

About Enric Domingo

Enric Domingo is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Oncology, having authored 119 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (28 papers), Colorectal Cancer Treatments and Studies (28 papers) and Cancer Genomics and Diagnostics (22 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Oncology (1.7k citations) and Cancer Research (928 citations). Enric Domingo has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Ian Tomlinson, David Kerr, David N. Church, Simó Schwartz, Elaine Johnstone, Rachel Kerr, Rachel Midgley, Raquel Seruca, Carla Oliveíra and Manel Armengol. Their work appears in journals such as The Lancet, Nature Communications and Journal of Clinical 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.

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