Armida D’Incecco
- Oncology top 5%
- Aquatic Science top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Cancer Research top 10%
- Co-authors
- Federico CappuzzoGabriele MinutiCarmelo TibaldiLorenza LandiM. E. PreobrazhenskayaNatalia A. UshakovaLicia TotaniNikolay E. Nifantiev
- Topics
- Lung Cancer Treatments and Mutations (21 papers)Lung Cancer Research Studies (13 papers)Cancer Immunotherapy and Biomarkers (8 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Armida D’Incecco
32 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Oncology 825
- Aquatic Science 714
- Pulmonary and Respiratory Medicine 713
- Molecular Biology 479
- Cancer Research 252
Countries citing papers authored by Armida D’Incecco
This map shows the geographic impact of Armida D’Incecco'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 Armida D’Incecco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armida D’Incecco more than expected).
Fields of papers citing papers by Armida D’Incecco
This network shows the impact of papers produced by Armida D’Incecco. 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 Armida D’Incecco. The network helps show where Armida D’Incecco may publish in the future.
Co-authorship network of co-authors of Armida D’Incecco
This figure shows the co-authorship network connecting the top 25 collaborators of Armida D’Incecco. A scholar is included among the top collaborators of Armida D’Incecco 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 Armida D’Incecco. Armida D’Incecco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 152 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | PD-1 and PD-L1 expression in molecularly selected non-small-cell lung cancer patientsbreakdown → | 492 |
| 11 | 17 | |
| 12 | 38 | |
| 13 | 45 | |
| 14 | 47 | |
| 15 | 29 | |
| 16 | 45 | |
| 17 | 53 | |
| 18 | 4 | |
| 19 | 13 | |
| 20 | A comparative study of the anti-inflammatory, anticoagulant, antiangiogenic, and antiadhesive activities of nine different fucoidans from brown seaweedsbreakdown → | 807 |
About Armida D’Incecco
Armida D’Incecco is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (21 papers), Lung Cancer Research Studies (13 papers) and Cancer Immunotherapy and Biomarkers (8 papers). The work is most often cited by research in Aquatic Science (714 citations), Oncology (825 citations) and Pulmonary and Respiratory Medicine (713 citations). Armida D’Incecco has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Federico Cappuzzo, Gabriele Minuti, Carmelo Tibaldi, Lorenza Landi, M. E. Preobrazhenskaya, Natalia A. Ushakova, Licia Totani, Nikolay E. Nifantiev, Antônio Piccoli and Gabriel A. Rabinovich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.
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.