José Vassallo

6.4k total citations
211 papers, 3.8k citations indexed

About

José Vassallo is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, José Vassallo has authored 211 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Oncology, 60 papers in Pathology and Forensic Medicine and 42 papers in Molecular Biology. Recurrent topics in José Vassallo's work include Lymphoma Diagnosis and Treatment (39 papers), Viral-associated cancers and disorders (26 papers) and Thyroid Cancer Diagnosis and Treatment (20 papers). José Vassallo is often cited by papers focused on Lymphoma Diagnosis and Treatment (39 papers), Viral-associated cancers and disorders (26 papers) and Thyroid Cancer Diagnosis and Treatment (20 papers). José Vassallo collaborates with scholars based in Brazil, France and United States. José Vassallo's co-authors include Fernando Augusto Soares, Glauce Aparecida Pinto, Laura Sterian Ward, Lucas Leite Cunha, Sophie Derchain, Luı́s Otávio Sarian, Elaine Cristina Morari, André Almeida Schenka, Suely Nonogaki and Marjory Alana Marcello and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

José Vassallo

204 papers receiving 3.7k citations

Peers

José Vassallo
Andrea Onetti Muda Italy
Penelope Korkolopoulou Greece
Thomas Kirchner Germany
Herwart F. Otto Germany
Martin Haas United States
Ivan V. Litvinov Canada
Fernando Schmitt Portugal
Asta Försti Germany
Claudia Wickenhauser Germany
I‐Tien Yeh United States
Andrea Onetti Muda Italy
José Vassallo
Citations per year, relative to José Vassallo José Vassallo (= 1×) peers Andrea Onetti Muda

Countries citing papers authored by José Vassallo

Since Specialization
Citations

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

Fields of papers citing papers by José Vassallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Vassallo

This figure shows the co-authorship network connecting the top 25 collaborators of José Vassallo. A scholar is included among the top collaborators of José Vassallo 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 José Vassallo. José Vassallo 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.
Souza, Lucas Lacerda de, Bruno Augusto Benevenuto de Andrade, Hélder Antônio Rebelo Pontes, et al.. (2023). Oral follicular lymphoma: a clinicopathologic and molecular study. Journal of Hematopathology. 16(4). 199–208.
2.
Advani, Ranjana H., Tetiana Skrypets, Monica Civallero, et al.. (2021). Outcomes and prognostic factors in angioimmunoblastic T-cell lymphoma: final report from the international T-cell Project. Blood. 138(3). 213–220. 60 indexed citations
3.
4.
Sarian, Luı́s Otávio, José Vassallo, Glauce Aparecida Pinto, et al.. (2016). Cyclooxygenase-2 (COX2) and p53 protein expression are interdependent in breast cancer but not associated with clinico-pathological surrogate subtypes, tumor aggressiveness and patient survival.. Acta Histochemica. 118(2). 176–182. 7 indexed citations
5.
Demasi, Ana Paula Dias, Elizabeth Ferreira Martinez, Marcelo Henrique Napimoga, et al.. (2013). Expression of peroxiredoxins I and IV in multiple myeloma: association with immunoglobulin accumulation. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 463(1). 47–55. 20 indexed citations
6.
Benites, Bruno Deltreggia, Irene Lorand‐Metze, Márcia Torresan Delamain, et al.. (2013). Primary myelofibrosis: risk stratification by IPSS identifies patients with poor clinical outcome. Clinics. 68(3). 339–343. 8 indexed citations
7.
Sarian, Luı́s Otávio, José Vassallo, Geisilene Russano de Paiva Silva, et al.. (2013). Analysis of the contribution of immunologically-detectable HER2, steroid receptors and of the “triple-negative” tumor status to disease-free and overall survival of women with epithelial ovarian cancer. Acta Histochemica. 116(3). 440–447. 27 indexed citations
8.
Vassallo, José, et al.. (2012). Philadelphia-negative chronic myeloproliferative neoplasms. SHILAP Revista de lepidopterología. 34(2). 140–149. 10 indexed citations
9.
Rodrigues, Iara S., Glauco Baiocchi, Gustavo Cardoso Guimarães, et al.. (2012). Characterization of Sociodemographic and Clinicopathological Features in Brazilian Patients with Vulvar Squamous Cell Carcinoma. Gynecologic and Obstetric Investigation. 75(1). 53–60. 17 indexed citations
10.
Santana, César Costapinto, et al.. (2012). Low CXCL13 Expression, Splenic Lymphoid Tissue Atrophy and Germinal Center Disruption in Severe Canine Visceral Leishmaniasis. PLoS ONE. 7(1). e29103–e29103. 36 indexed citations
11.
Cunha, Isabela Werneck da, Louise De Brot, Kátia Cândido Carvalho, et al.. (2011). Prognostication of Soft Tissue Sarcomas Based on Chromosome 17q Gene and Protein Status: Evaluation of TOP2A, HER-2/neu, and Survivin. Annals of Surgical Oncology. 19(6). 1790–1799. 12 indexed citations
12.
Lourenço, Gustavo Jacob, et al.. (2010). The GSTT1 polymorphism of the glutathione S-transferase system in the intratumoral microvessel density of breast cancer patients. Tumor Biology. 31(5). 489–493. 2 indexed citations
13.
Derchain, Sophie, Jung Hyun Yoon, Marcelo Alvarenga, et al.. (2009). Comparative evaluation of the erbB2 and hormone receptorstatus of neighboring invasive and in situ components of ductalcarcinomas of the breast. The International Journal of Biological Markers. 24(4). 238–244. 2 indexed citations
14.
Santana, César Costapinto, José Vassallo, Luiz Antônio Rodrigues de Freitas, et al.. (2008). Inflammation and structural changes of splenic lymphoid tissue in visceral leishmaniasis: A study on naturally infected dogs. Parasite Immunology. 30(10). 515–524. 56 indexed citations
15.
Schenka, André Almeida, Sabina Müller, Jean‐Jacques Fournié, et al.. (2005). CD4+ T Cells Downregulate Bcl-2 in Germinal Centers. Journal of Clinical Immunology. 25(3). 224–229. 7 indexed citations
16.
Chagas, Cristiano Aparecido, et al.. (2005). Detection of herpesvirus type 8 (HHV8) in children's tonsils and adenoids by immunohistochemistry and in situ hybridization. International Journal of Pediatric Otorhinolaryngology. 70(1). 65–72. 28 indexed citations
17.
Schenka, André Almeida, et al.. (2005). Morphological characterization of a human glioma cell l ine.. Cancer Cell International. 5(1). 13–13. 28 indexed citations
18.
Sakano, Eulália, et al.. (2003). The EBV action in tonsils and adenoids. International Congress Series. 1257. 263–267. 4 indexed citations
19.
20.
Roessner, Albert, José Vassallo, E. Vollmer, et al.. (1987). Biological characterization of human bone tumors. Journal of Cancer Research and Clinical Oncology. 113(6). 559–562. 15 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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