Luis Paz‐Ares

93.4k citations
690 papers · 23.0k indexed · 15 hit papers · h-index 73

Luis Paz‐Ares

655 papers receiving 22.5k citations

Hit Papers

New promi...116201120262016202150010001.5k2.0k

Peers

Luis Paz‐Ares
Comparison fields: 5 of 156
  • Oncology 13.2k
  • Pulmonary and Respiratory Medicine 11.4k
  • Cancer Research 4.2k
  • Molecular Biology 7.6k
  • Otorhinolaryngology 471
Replace Suresh S. Ramalingam with:
Suresh S. Ramalingam United States
Kenneth J. O’Byrne Australia
Lesley Seymour Canada
Giampaolo Tortora Italy
Byoung Chul Cho South Korea
Wilko Weichert Germany
Mark A. Socinski United States
David R. Gandara United States
Keunchil Park South Korea
Benjamin Solomon Australia
Luis Paz‐Ares relative to Suresh S. Ramalingam United States Suresh S. Ramalingam's profile →
Citations per field
00.5×1.5×
Suresh S. Ramalingam · 1×
Citations per year

Countries citing papers authored by Luis Paz‐Ares

Since Specialization
Citations

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

Fields of papers citing papers by Luis Paz‐Ares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Paz‐Ares. 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 Luis Paz‐Ares. The network helps show where Luis Paz‐Ares may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20241
4 202419
5 20239
6 20238
7 20235
8 20233
9 202129
10 20215
11 202115
12 202031
13
First-In-Human Phase I Study Of A Dual mTOR Kinase And DNA-PK Inhibitor (CC-115) In Advanced Malignancy
20191
14 201817
15 2017232
16 2014257
17 2014200
18 201315
19
EGFR expression as a predictor of survival for first-line chemotherapy plus cetuximab in patients with advanced non-small-cell lung cancer: analysis of data from the phase 3 FLEX studybreakdown →
2011453
20 2005134

About Luis Paz‐Ares

Luis Paz‐Ares is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 690 papers that have together received 23.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (375 papers), Lung Cancer Research Studies (235 papers), Cancer Immunotherapy and Biomarkers (167 papers), Lung Cancer Diagnosis and Treatment (114 papers), Colorectal Cancer Treatments and Studies (97 papers), Cancer therapeutics and mechanisms (78 papers), Cancer Genomics and Diagnostics (73 papers) and Peptidase Inhibition and Analysis (60 papers). The work is most often cited by research in Oncology (13.2k citations), Pulmonary and Respiratory Medicine (11.4k citations) and Cancer Research (4.2k citations). Luis Paz‐Ares has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Yi‐Long Wu, Fred R. Hirsch, Giorgio V. Scagliotti, Walter J. Curran, James L. Mulshine, Regina Kwon, Irene Ferrer, Rocio García‐Carbonero, Sonia Molina‐Pinelo and Amancio Carnero. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Journal of Thoracic Oncology, Lung Cancer and Clinical & Translational 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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