David Páez

2.4k citations
60 papers · 1.3k · h-index 20

Impact in

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

Papers in

David Páez

58 papers receiving 1.3k citations

Peers

David Páez
Comparison fields: 5 of 87
  • Oncology 713
  • Cancer Research 217
  • Hepatology 58
  • Pharmacology 61
  • Molecular Biology 485
Replace Yu Sunakawa with:
Yu Sunakawa Japan
H-J Lenz United States
Ernesto Wasserman United States
Edward H. Lin United States
Albert Craig Lockhart United States
Bart Jacobs Netherlands
Huann-Sheng Wang Taiwan
Olaf Christensen Germany
Gianmaria Miolo Italy
Maria Matsangou United States
David Páez relative to Yu Sunakawa Japan Yu Sunakawa's profile →
Citations per field
00.5×1.5×
Yu Sunakawa · 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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011185
2 2012116
3 2012115
4 201190
5 201185
6 201479
7 201173
8 201348
9 201843
10 202135
11 201435
12 201834
13 201230
14 201329
15 201625
16 201123
17 201921
18 201021
19 201820
20 201020

About David Páez

David Páez is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (26 papers), Genetic factors in colorectal cancer (11 papers), Cancer therapeutics and mechanisms (11 papers), Cancer Genomics and Diagnostics (6 papers), Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Research Studies (4 papers), Cancer Treatment and Pharmacology (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Oncology (713 citations), Cancer Research (217 citations), Hepatology (58 citations), Pharmacology (61 citations) and Molecular Biology (485 citations). David Páez has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Melissa J. LaBonte, Juliana Giraldo Salazar, Heinz‐Josef Lenz, Pierre Oliver Bohanes, Montserrat Baiget, Wu Zhang, Yan Ning, Ana Sebio, Fotios Loupakis and Takeru Wakatsuki. Their work appears in journals such as Annals of Oncology, Clinical & Translational Oncology, The Pharmacogenomics Journal, Clinical Cancer Research and British Journal of Clinical Pharmacology.

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