Diego Arango

7.3k citations
95 papers · 6.2k · h-index 42

Impact in

  • Oncology top 1%
    • Colorectal Cancer Treatments and Studies
    • Cancer Cells and Metastasis
    • Histone Deacetylase Inhibitors Research
    • Epigenetics and DNA Methylation
    • Gene expression and cancer classification

Papers in

Diego Arango

95 papers receiving 6.1k citations

Peers

Diego Arango
Comparison fields: 5 of 118
  • Oncology 1.7k
  • Molecular Biology 2.7k
  • Pathology and Forensic Medicine 708
  • Cancer Research 547
  • Biomaterials 267
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Citations per field
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Citations per year

Countries citing papers authored by Diego Arango

Since Specialization
Citations

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

Fields of papers citing papers by Diego Arango

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006486
2 2008394
3 2009373
4 2014316
5 2006240
6 2004227
7 2008183
8
Gene expression profiling-based prediction of response of colon carcinoma cells to 5-fluorouracil and camptothecin.
2003175
9 2005168
10 2005167
11 2006126
12
A gene expression profile that defines colon cell maturation in vitro.
2002114
13 2005111
14 2010104
15 2014104
16
c-myc/p53 interaction determines sensitivity of human colon carcinoma cells to 5-fluorouracil in vitro and in vivo.
2001100
17 2006100
18
TR3/Nur77 in colon cancer cell apoptosis.
200398
19 201195
20 200589

About Diego Arango

Diego Arango is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience, having authored 95 papers that have together received 6.2k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (25 papers), Colorectal Cancer Treatments and Studies (10 papers), Histone Deacetylase Inhibitors Research (7 papers), Gene expression and cancer classification (7 papers), Cancer Cells and Metastasis (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Axon Guidance and Neuronal Signaling (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Oncology (1.7k citations), Molecular Biology (2.7k citations), Pathology and Forensic Medicine (708 citations), Cancer Research (547 citations) and Biomaterials (267 citations). Diego Arango has collaborated with scholars based in Spain, United States and Finland. Frequent co-authors include John Martin Mariadason, Leonard H. Augenlicht, Simó Schwartz, Georgia A. Corner, Lauri A. Aaltonen, Do-Sun Byun, Courtney Nicholas, Lucas B. Murray, Maria Aranes and Anna Velcich. Their work appears in journals such as Cancer Research, Clinical Cancer Research, International Journal of Cancer, Journal of Biological Chemistry and Oncogene.

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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