David Páez

2.3k citations
75 papers · 1.4k · h-index 20

Impact in

  • Oncology top 5%
    • Colorectal Cancer Treatments and Studies
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Chemokine receptors and signaling
    • Cancer Genomics and Diagnostics

Papers in

    • Colorectal Cancer Treatments and Studies 30
    • Cancer Treatment and Pharmacology 6
    • Cancer Immunotherapy and Biomarkers 4
    • Cancer therapeutics and mechanisms 9

David Páez

72 papers receiving 1.3k citations

Peers

David Páez
Comparison fields: 5 of 86
  • Oncology 712
  • Cancer Research 217
  • Hepatology 54
  • Pathology and Forensic Medicine 120
  • Molecular Biology 491
Replace H-J Lenz with:
H-J Lenz United States
Yu Sunakawa Japan
Ernesto Wasserman United States
A. Craig Lockhart United States
Huann-Sheng Wang Taiwan
G. Deplanque France
Edward H. Lin United States
Olaf Christensen United States
Maria Matsangou United States
Bart Jacobs Netherlands
David Páez relative to H-J Lenz United States H-J Lenz's profile →
Citations per field
00.5×3.1×
H-J Lenz · 1×
Citations per year

Countries citing papers authored by David Páez

Since Specialization
Citations

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

Fields of papers citing papers by David Páez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011171
2 2012109
3 2012104
4 201186
5 201184
6 201480
7 201173
8 201345
9 201838
10 202133
11 201833
12 201432
13 201229
14 201329
15 201826
16 201922
17 201621
18 201021
19 201120
20 201819

About David Páez

David Páez is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (30 papers), Genetic factors in colorectal cancer (16 papers), Cancer Genomics and Diagnostics (12 papers), Cancer therapeutics and mechanisms (9 papers), Lung Cancer Treatments and Mutations (8 papers), Cancer Treatment and Pharmacology (6 papers), Colorectal and Anal Carcinomas (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Oncology (712 citations), Cancer Research (217 citations), Hepatology (54 citations), Pathology and Forensic Medicine (120 citations) and Molecular Biology (491 citations). David Páez has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Melissa J. LaBonte, Juliana Salazar, Heinz‐Josef Lenz, Pierre Bohanes, Montserrat Baiget, Yan Ning, Wu Zhang, Ana Sebio, Takeru Wakatsuki and Fotios Loupakis. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Clinical & Translational Oncology, The Pharmacogenomics Journal and Clinical Cancer Research.

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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