Nuno Bonito

941 total citations · 1 hit paper
20 papers, 696 citations indexed

About

Nuno Bonito is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Nuno Bonito has authored 20 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 6 papers in Surgery and 6 papers in Cancer Research. Recurrent topics in Nuno Bonito's work include Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (4 papers) and Genetic factors in colorectal cancer (3 papers). Nuno Bonito is often cited by papers focused on Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (4 papers) and Genetic factors in colorectal cancer (3 papers). Nuno Bonito collaborates with scholars based in Portugal and Netherlands. Nuno Bonito's co-authors include Filipa Macedo, Kátia Ladeira, Luísa Pinto, Nadine Saraiva, Francisco Gonçalves, Helena Gervásio, Francisco Rocha Gonçalves, Gabriela Sousa, Sandra F. Martins and M. Marques and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Nuno Bonito

20 papers receiving 687 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bone metastases: an overview

2017 570 citations Filipa Macedo, Kátia Ladeira et al. Oncology Reviews profile →

Peers

Nuno Bonito

ONCOL

SURGE

PRM

RNMI

Kátia Ladeira Portugal

Luísa Pinto Portugal

Nadine Saraiva Portugal

George Kyrgias Greece

Samuel Jang United States

Renu Madan India

Domenico Borzomati Italy

Jeremy Lawrance United Kingdom

Huizhen Zhang China

Gerhard Preißler Germany

Kátia Ladeira Portugal

Nuno Bonito

387 ×1.0

ONCOL

222 ×1.1

SURGE

185 ×1.1

PRM

135 ×1.0

RNMI

151 ×1.2

Citations per year, relative to Nuno Bonito Nuno Bonito (= 1×) peers Kátia Ladeira

Countries citing papers authored by Nuno Bonito

Since Specialization

Citations

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

Fields of papers citing papers by Nuno Bonito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuno Bonito

This figure shows the co-authorship network connecting the top 25 collaborators of Nuno Bonito. A scholar is included among the top collaborators of Nuno Bonito 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 Nuno Bonito. Nuno Bonito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bonito, Nuno, et al.. (2025). Outcomes of Broader Genomic Profiling in Metastatic Colorectal Cancer: A Portuguese Cohort Study. SHILAP Revista de lepidopterología. 5(1). 4–4. 1 indexed citations

Silva, Isabel, Nadine Saraiva, Nuno Bonito, et al.. (2023). Adapter dimer contamination in sRNA‐sequencing datasets predicts sequencing failure and batch effects and hampers extracellular vesicle‐sRNA analysis. SHILAP Revista de lepidopterología. 2(6). e91–e91. 1 indexed citations

Bonito, Nuno, et al.. (2023). HER2 Status in RAS and BRAF Wild-Type Metastatic Colorectal Cancer: A Portuguese Study. Cureus. 15(7). e42536–e42536. 1 indexed citations

Ferreira, Marta, Sara Rocha, Nadine Saraiva, et al.. (2023). NGS Data Repurposing Allows Detection of tRNA Fragments as Gastric Cancer Biomarkers in Patient-Derived Extracellular Vesicles. International Journal of Molecular Sciences. 24(10). 8961–8961. 3 indexed citations

Bonito, Nuno, et al.. (2022). A prospective cohort study of TIMP1 as prognostic biomarker in gastric and colon cancer. Chinese Clinical Oncology. 11(6). 43–43. 7 indexed citations

Bonito, Nuno, et al.. (2022). The effect of prognostic factors at baseline on the efficacy of trifluridine/tipiracil in patients with metastatic colorectal cancer: A Portuguese exploratory analysis. Cancer Treatment and Research Communications. 31. 100531–100531. 1 indexed citations

Macedo, Filipa, et al.. (2022). Bacteremia in Cancer Patients as a Prognostic Factor and the Relationship with Chemotherapy. Medical Research Archives. 10(12). 1 indexed citations

Macedo, Francisco Igor, et al.. (2022). Therapeutic impact of determination of RAS mutations in the plasma of patient with colorectal cancer.. PubMed. 15(1). 93–98. 1 indexed citations

Macedo, Filipa, et al.. (2021). Metastatic Lymph Node Ratio as a better Prognostic Tool than The TNM System in Colorectal Cancer. Future Oncology. 17(12). 1519–1532. 12 indexed citations

10.

Macedo, Filipa, et al.. (2020). Metastatic lymph node ratio as better prognostic tool than TNM system in colorectal cancer.. Journal of Clinical Oncology. 38(15_suppl). e16128–e16128. 4 indexed citations

11.

Macedo, Filipa & Nuno Bonito. (2019). Current opinion about antimicrobial therapy in palliative care: an update. Current Opinion in Oncology. 31(4). 299–301. 3 indexed citations

12.

Macedo, M. Fátima, et al.. (2019). Founder mutations BRCA2 c.156_157insAlu in Portuguese population. Annals of Oncology. 30. iii20–iii20. 2 indexed citations

13.

Macedo, Filipa, Kátia Ladeira, Nadine Saraiva, et al.. (2018). Antimicrobial therapy in palliative care: an overview. Supportive Care in Cancer. 26(5). 1361–1367. 44 indexed citations

14.

Macedo, Filipa, Kátia Ladeira, Nadine Saraiva, et al.. (2017). Bone metastases: an overview. Oncology Reviews. 11(1). 321–321. 570 indexed citations breakdown →

15.

Ribeiro, João, et al.. (2016). P-178 Capecitabine and temozolomide (CAPTEM) in patients with advanced neuroendocrine tumors: the experience of a Portuguese cancer center. Annals of Oncology. 27. ii53–ii53. 2 indexed citations

16.

Bonito, Nuno, et al.. (2016). Association between bevacizumab-related hypertension and response to treatment in patients with metastatic colorectal cancer. ESMO Open. 1(3). e000045–e000045. 27 indexed citations

17.

Nogueira, Augusto, et al.. (2016). P-167 Cetuximab rechallenge in metastatic colorectal cancer patients. Annals of Oncology. 27. ii49–ii49. 3 indexed citations

18.

Bonito, Nuno, et al.. (2016). Eosinophilic colitis. BMJ Case Reports. 2016. bcr2016214496–bcr2016214496. 5 indexed citations

19.

Casalta‐Lopes, João, et al.. (2015). Association between bevacizumab-related hypertension and response to treatment in metastatic colorectal cancer patients.. Journal of Clinical Oncology. 33(15_suppl). e14636–e14636. 1 indexed citations

20.

Bonito, Nuno, et al.. (2009). Primary non-Hodgkin lymphoma and invasive ductal carcinoma in the same breast: a rare case report. Clinical & Translational Oncology. 11(3). 186–188. 7 indexed citations

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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