David Páez

2.3k citations
75 papers · 1.3k · h-index 20

Impact in

  • Oncology top 5%
    • Colorectal Cancer Treatments and Studies
    • Cancer Cells and Metastasis
    • Neutropenia and Cancer Infections
    • Cancer Genomics and Diagnostics

Papers in

    • Colorectal Cancer Treatments and Studies 35
    • Cancer Treatment and Pharmacology 7
    • Colorectal Cancer Surgical Treatments 6
    • Cancer therapeutics and mechanisms 9

David Páez

70 papers receiving 1.3k citations

Peers

David Páez
Comparison fields: 5 of 94
  • Oncology 828
  • Cancer Research 265
  • Pathology and Forensic Medicine 162
  • Pulmonary and Respiratory Medicine 292
  • Hepatology 67
Replace Ernesto Wasserman with:
Ernesto Wasserman United States
A. Craig Lockhart United States
Alain Gelibter Italy
G. Deplanque France
Olaf Christensen United States
Bart Jacobs Netherlands
Dale R. Shepard United States
Masanori Tsujie Japan
Stratigoula Sakellariou Greece
Alessandro Bittoni Italy
David Páez relative to Ernesto Wasserman United States Ernesto Wasserman's profile →
Citations per field
00.5×1.5×2.3×
Ernesto Wasserman · 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 2011164
2 2012109
3 2012102
4 201187
5 201184
6 201479
7 201172
8 201345
9 201836
10 201833
11 201432
12 202131
13 201329
14 201229
15 201826
16 201922
17 201021
18 201620
19 201120
20 201019

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 1.3k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (35 papers), Genetic factors in colorectal cancer (18 papers), Cancer Genomics and Diagnostics (14 papers), Cancer therapeutics and mechanisms (9 papers), Lung Cancer Treatments and Mutations (9 papers), Cancer Treatment and Pharmacology (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Colorectal Cancer Surgical Treatments (6 papers). The work is most often cited by research in Oncology (828 citations), Cancer Research (265 citations), Pathology and Forensic Medicine (162 citations), Pulmonary and Respiratory Medicine (292 citations) and Hepatology (67 citations). David Páez has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Melissa J. LaBonte, Juliana Salazar, Heinz‐Josef Lenz, Pierre Bohanes, Yan Ning, Montserrat Baiget, Wu Zhang, Ana Sebio, Fotios Loupakis and Dongyun Yang. 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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