G. Lopes

426 citations
32 papers · 272 · h-index 8

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Colorectal Cancer Treatments and Studies
    • COVID-19 and healthcare impacts
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment

Papers in

G. Lopes

30 papers receiving 268 citations

Peers

G. Lopes
Comparison fields: 5 of 33
  • Oncology 163
  • Pulmonary and Respiratory Medicine 107
  • Cancer Research 35
  • Immunology 20
  • Pathology and Forensic Medicine 16
Replace Daniela Cullurà with:
Daniela Cullurà Italy
S. Andrew Peng United States
Masahiko Aoki Japan
Ying Cheng China
Shivanshu Awasthi United States
Henrique Queiroga Portugal
Valeria Stati Italy
A. Iop Italy
Felicia Roncolato Australia
Gökhan Uçar Türkiye
G. Lopes relative to Daniela Cullurà Italy Daniela Cullurà's profile →
Citations per field
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Daniela Cullurà · 1×
Citations per year

Countries citing papers authored by G. Lopes

Since Specialization
Citations

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

Fields of papers citing papers by G. Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 202342
3 202027
4 202121
5 201815
6 201913
7 201811
8 202010
9 20207
10
Two cases of isolated unilateral paralysis of hypoglossal nerve after uncomplicated orotracheal intubation.
20097
11 20157
12 20214
13 20213
14 20163
15 20193
16 20173
17 20203
18 20212
19 20202
20 20212

About G. Lopes

G. Lopes is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Economics and Econometrics, Cancer Research and Surgery, having authored 32 papers that have together received 272 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (15 papers), Cancer Immunotherapy and Biomarkers (10 papers), Cancer Genomics and Diagnostics (5 papers), Economic and Financial Impacts of Cancer (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Lung Cancer Research Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Oncology (163 citations), Pulmonary and Respiratory Medicine (107 citations), Cancer Research (35 citations), Immunology (20 citations) and Pathology and Forensic Medicine (16 citations). G. Lopes has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Tony Mok, Gilberto de Castro, Jared Lunceford, Bilal Piperdi, Roy S. Herbst, Mark Ayers, Julie Kobie, Andrey Loboda, Deepti Aurora-Garg and Răzvan Cristescu. Their work appears in journals such as Journal of Thoracic Oncology, Annals of Oncology, Value in Health, European Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

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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