Hugo Gregório

503 total citations
31 papers, 349 citations indexed

About

Hugo Gregório is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Hugo Gregório has authored 31 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 10 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Hugo Gregório's work include Veterinary Oncology Research (19 papers), Inflammatory mediators and NSAID effects (7 papers) and Infectious Diseases and Mycology (5 papers). Hugo Gregório is often cited by papers focused on Veterinary Oncology Research (19 papers), Inflammatory mediators and NSAID effects (7 papers) and Infectious Diseases and Mycology (5 papers). Hugo Gregório collaborates with scholars based in Portugal, Brazil and United Kingdom. Hugo Gregório's co-authors include Felisbina L. Queiroga, Isabel Pires, Justina Prada, Teresa P. Raposo, Maria Isabel Carvalho, Luís Lobo, Carlos Lopes, Vera Afreixo, Tiago Gregório and Pedro Magalhães and has published in prestigious journals such as Sensors and Actuators B Chemical, Advances in experimental medicine and biology and The Veterinary Journal.

In The Last Decade

Hugo Gregório

26 papers receiving 343 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hugo Gregório Portugal 11 199 110 88 74 72 31 349
Yutaka Horiuchi Japan 11 120 0.6× 77 0.7× 70 0.8× 167 2.3× 22 0.3× 22 325
Taro Masaki Japan 12 47 0.2× 64 0.6× 192 2.2× 65 0.9× 6 0.1× 30 434
Nina Neumayer Germany 7 95 0.5× 24 0.2× 147 1.7× 371 5.0× 117 1.6× 8 718
Luigi Navas Italy 9 39 0.2× 67 0.6× 104 1.2× 58 0.8× 8 0.1× 23 269
Bardes B. Hassan Egypt 8 83 0.4× 104 0.9× 73 0.8× 16 0.2× 10 0.1× 15 257
Aditya Dutta United States 11 88 0.4× 46 0.4× 166 1.9× 12 0.2× 9 0.1× 22 374
Yuji Sugata Japan 11 43 0.2× 28 0.3× 57 0.6× 94 1.3× 5 0.1× 14 363
Sally Kinrade United States 5 33 0.2× 95 0.9× 138 1.6× 36 0.5× 5 0.1× 7 329
Bo-ting Au United States 7 127 0.6× 77 0.7× 106 1.2× 209 2.8× 6 0.1× 8 454

Countries citing papers authored by Hugo Gregório

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Gregório

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Gregório

This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Gregório. A scholar is included among the top collaborators of Hugo Gregório 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 Hugo Gregório. Hugo Gregório 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
1.
Gregório, Hugo, et al.. (2025). The Diagnostic Yield of Whole-body Computed Tomography in Dogs and Cats in the Oncology Setting. In Vivo. 39(3). 1293–1302.
2.
Gregório, Hugo, et al.. (2025). Exploring risk factors linked to canine lymphoma: a case-control study. Topics in companion animal medicine. 65. 100948–100948. 2 indexed citations
3.
Canadas‐Sousa, Ana, et al.. (2024). Distribution of Inflammatory Infiltrate in Feline Mammary Lesions: Relationship With Clinicopathological Features. Veterinary and Comparative Oncology. 22(3). 398–409. 3 indexed citations
4.
Canadas‐Sousa, Ana, Marta Santos, Pedro Oliveira, et al.. (2024). Level of Necrosis in Feline Mammary Tumors: How to Quantify, Why and for What Purpose?. Animals. 14(22). 3280–3280. 2 indexed citations
5.
Queirós, Carla, et al.. (2024). Reagentless Vis-NIR Spectroscopy Point-of-Care for Feline Total White Blood Cell Counts. Biosensors. 14(1). 53–53. 1 indexed citations
6.
Malhão, Fernanda, Célia Lopes, Hugo Gregório, et al.. (2023). Detection of Lymphoid Markers (CD3 and PAX5) for Immunophenotyping in Dogs and Cats: Comparison of Stained Cytology Slides and Matched Cell Blocks. Veterinary Sciences. 10(2). 157–157. 1 indexed citations
7.
8.
Magalhães, Pedro, et al.. (2022). Edaravone for acute ischemic stroke – Systematic review with meta-analysis.. Clinical Neurology and Neurosurgery. 219. 107299–107299. 34 indexed citations
9.
Gregório, Hugo, et al.. (2021). Therapeutic Effect of EPA/DHA Supplementation in Neoplastic and Non-neoplastic Companion Animal Diseases: A Systematic Review. In Vivo. 35(3). 1419–1436. 8 indexed citations
10.
Gregório, Hugo, et al.. (2021). Visible–Near-Infrared Platelets Count: Towards Thrombocytosis Point-of-Care Diagnosis. MDPI (MDPI AG). 78–78. 1 indexed citations
11.
Gregório, Hugo, et al.. (2021). The role of COX expression in the prognostication of overall survival of canine and feline cancer: A systematic review. Veterinary Medicine and Science. 7(4). 1107–1119. 9 indexed citations
12.
Carvalho, Maria Isabel, Teresa P. Raposo, Ricardo Silva-Carvalho, et al.. (2021). The Dog as a Model to Study the Tumor Microenvironment. Advances in experimental medicine and biology. 1329. 123–152. 5 indexed citations
13.
Gregório, Hugo, et al.. (2021). Point-of-care Vis-SWNIR spectroscopy towards reagent-less hemogram analysis. Sensors and Actuators B Chemical. 343. 130138–130138. 10 indexed citations
14.
Carvalho, Maria Isabel, Isabel Pires, Justina Prada, et al.. (2019). Assessing the Interleukin 35 Immunoexpression in Malignant Canine Mammary Tumors: Association With Clinicopathological Parameters and Prognosis. Anticancer Research. 39(4). 2077–2083. 6 indexed citations
15.
16.
Carvalho, Maria Isabel, Isabel Pires, Justina Prada, et al.. (2016). Intratumoral FoxP3 expression is associated with angiogenesis and prognosis in malignant canine mammary tumors. Veterinary Immunology and Immunopathology. 178. 1–9. 42 indexed citations
17.
Gregório, Hugo, Teresa P. Raposo, Felisbina L. Queiroga, Justina Prada, & Isabel Pires. (2016). Investigating associations of cyclooxygenase-2 expression with angiogenesis, proliferation, macrophage and T-lymphocyte infiltration in canine melanocytic tumours. Melanoma Research. 26(4). 338–347. 14 indexed citations
18.
Carvalho, Maria Isabel, Isabel Pires, Justina Prada, et al.. (2015). Intratumoral CD3+ T-Lymphocytes Immunoexpression and Its Association with c-Kit, Angiogenesis, and Overall Survival in Malignant Canine Mammary Tumors. Analytical Cellular Pathology. 2015. 1–8. 12 indexed citations
19.
Gregório, Hugo, Isabel Pires, Fernanda Seixas, & Felisbina L. Queiroga. (2012). Mammary invasive micropapillary carcinoma in a male cat: Immunohistochemical description and clinical follow-up. Acta Veterinaria Hungarica. 60(2). 257–261. 7 indexed citations
20.
Prada, Justina, Felisbina L. Queiroga, Hugo Gregório, & Isabel Pires. (2011). Evaluation of Cyclooxygenase-2 Expression in Canine Mast Cell Tumours. Journal of Comparative Pathology. 147(1). 31–36. 11 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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