R. McCormack

623 citations
10 papers · 515 · 1 hit paper · h-index 7

Impact in

Papers in

R. McCormack

10 papers receiving 505 citations

R. McCormack's Hit Papers

First-line gefitinib in Caucasian EGFR mutation-positive NSCLC patients: a phase-IV, open-label, single-arm study 2013 · 331 citations
3310+4+8Years since publication100200300

Peers

R. McCormack
Comparison fields: 5 of 39
  • Pulmonary and Respiratory Medicine 365
  • Cancer Research 160
  • Oncology 186
  • Pathology and Forensic Medicine 33
  • Molecular Biology 99
Replace Kunitoshi Tomii with:
Kunitoshi Tomii Japan
Aurelio Castrellon United States
Jean-Christophe Eymard France
Émeline Colomba France
Liana B. Guedes United States
F.P. Fonseca Brazil
Tejas Patil United States
Farhat Ghaznawi United States
Stefania Kinspergher Italy
Mariangela Zanghì Italy
R. McCormack relative to Kunitoshi Tomii Japan Kunitoshi Tomii's profile →
Citations per field
00.5×
Kunitoshi Tomii · 1×
Citations per year

Countries citing papers authored by R. McCormack

Since Specialization
Citations

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

Fields of papers citing papers by R. McCormack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
First-line gefitinib in Caucasian EGFR mutation-positive NSCLC patients: a phase-IV, open-label, single-arm study
Hit paper breakdown →
2013331
2 201293
3 201529
4 200220
5 200118
6 201510
7 20136
8 20165
9
A pharmacological comparison of gefitinib (IRESSA) and erlotinib
20062
10 20071

About R. McCormack

R. McCormack is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Genetics and Surgery, having authored 10 papers that have together received 515 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Cancer Genomics and Diagnostics (4 papers), Diabetes and associated disorders (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Diabetes Management and Research (1 paper), Gastric Cancer Management and Outcomes (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (365 citations), Cancer Research (160 citations), Oncology (186 citations), Pathology and Forensic Medicine (33 citations) and Molecular Biology (99 citations). R. McCormack has collaborated with scholars based in United Kingdom, Japan and Russia. Frequent co-authors include Tsveta Milenkova, Manuel Cobo, Alan Webster, Gyula Ostoros, Tudor–Eliade Ciuleanu, Koichi Hagiwara, Emma Donald, Kazuto Nishio, Kōichi Goto and Miyako Satouchi. Their work appears in journals such as Annals of Oncology, Genes and Immunity, Journal of Clinical Oncology, British Journal of Cancer and Lung Cancer.

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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