Jose M. Pacheco

4.7k citations
39 papers · 800 indexed · 1 hit paper · h-index 16
Topics
Lung Cancer Treatments and Mutations (17 papers)Lung Cancer Research Studies (12 papers)Cancer Immunotherapy and Biomarkers (6 papers)
Partner nations
United StatesJapanSpain

In The Last Decade

Jose M. Pacheco

39 papers receiving 786 citations

Hit Papers

Trastuzumab deruxtecan in patients with metastatic non-sm...2024202620252024255075

Peers

Jose M. Pacheco
Comparison fields: 5 of 72
  • Oncology 591
  • Pulmonary and Respiratory Medicine 485
  • Molecular Biology 196
  • Cancer Research 148
  • Epidemiology 97
Replace Takahisa Kawamura with:
Takahisa Kawamura Japan
Emmanuelle Samalin France
Nuria Romero-Laorden Spain
Yunxian Mo China
Swee‐Peng Yap Singapore
Emi Noguchi Japan
Sonia Yip Australia
Natalyn Hawk United States
Pei Dong China
Amy Sheen Australia
Jose M. Pacheco relative to Takahisa Kawamura Japan Takahisa Kawamura's profile →
Citations per field
00.5×1.5×
Takahisa Kawamura · 1×
Citations per year

Countries citing papers authored by Jose M. Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Jose M. Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jose M. Pacheco. 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 Jose M. Pacheco. The network helps show where Jose M. Pacheco may publish in the future.

Co-authorship network of co-authors of Jose M. Pacheco

This figure shows the co-authorship network connecting the top 25 collaborators of Jose M. Pacheco. A scholar is included among the top collaborators of Jose M. Pacheco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jose M. Pacheco. Jose M. Pacheco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Trastuzumab deruxtecan in patients with metastatic non-small-cell lung cancer (DESTINY-Lung01): primary results of the HER2-overexpressing cohorts from a single-arm, phase 2 trialbreakdown →
76
2 7
3 6
4 26
5 4
6 3
7 1
8 94
9 45
10 2
11 24
12 11
13 92
14 5
15 39
16 13
17 1
18 36
19 34
20 5

About Jose M. Pacheco

Jose M. Pacheco is a scholar working on Microbiology, Oncology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 800 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (17 papers), Lung Cancer Research Studies (12 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Oncology (591 citations), Pulmonary and Respiratory Medicine (485 citations) and Cancer Research (148 citations). Jose M. Pacheco has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include D. Ross Camidge, Paul A. Bunn, Robert C. Doebele, Erin L. Schenk, Pasi A. Jänne, Feng Gao, Caroline Bumb, Matthew J. Ellis, X. Cynthia and Tejas Patil. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Neurology.

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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