Fernando Anschau

687 total citations
29 papers, 165 citations indexed

About

Fernando Anschau is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Fernando Anschau has authored 29 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Surgery. Recurrent topics in Fernando Anschau's work include Cervical Cancer and HPV Research (10 papers), Women's cancer prevention and management (5 papers) and Healthcare during COVID-19 Pandemic (3 papers). Fernando Anschau is often cited by papers focused on Cervical Cancer and HPV Research (10 papers), Women's cancer prevention and management (5 papers) and Healthcare during COVID-19 Pandemic (3 papers). Fernando Anschau collaborates with scholars based in Brazil, United States and Austria. Fernando Anschau's co-authors include Ana Paula Franco Lambert, Marcelo Capra, Aírton Tetelbom Stein, Alcindo Antônio Ferla, Lúcia Campos Pellanda, Denise Cantarelli Machado, Maria de Lourdes Drachler, Luciane Kopittke, Helga Geremias Gouveia and Dora Lúcia Leidens Corrêa de Oliveira and has published in prestigious journals such as Social Science & Medicine, BMJ Open and BMC Infectious Diseases.

In The Last Decade

Fernando Anschau

22 papers receiving 159 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Anschau Brazil 7 61 48 42 37 25 29 165
Kayode Adeniji Nigeria 7 30 0.5× 31 0.6× 48 1.1× 20 0.5× 7 0.3× 16 184
Kevin Zhang United States 9 54 0.9× 35 0.7× 68 1.6× 30 0.8× 13 0.5× 29 240
Abdulaziz Saleem Saudi Arabia 9 87 1.4× 42 0.9× 213 5.1× 136 3.7× 8 0.3× 27 311
J. Timothy Sherwood United States 8 43 0.7× 218 4.5× 118 2.8× 56 1.5× 25 1.0× 17 327
Filippo Gavi Italy 11 37 0.6× 84 1.8× 101 2.4× 33 0.9× 6 0.2× 41 236
Inderpal Randhawa United States 10 33 0.5× 119 2.5× 56 1.3× 9 0.2× 4 0.2× 38 287
Punit Tiwari India 10 24 0.4× 119 2.5× 156 3.7× 25 0.7× 11 0.4× 54 313
Dorel Firescu Romania 8 49 0.8× 49 1.0× 82 2.0× 112 3.0× 6 0.2× 44 245
Ram Chandra Shukla India 10 34 0.6× 29 0.6× 56 1.3× 11 0.3× 56 2.2× 50 315
Francesco Bini Italy 7 74 1.2× 126 2.6× 30 0.7× 28 0.8× 8 0.3× 17 243

Countries citing papers authored by Fernando Anschau

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Anschau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Anschau

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Anschau. A scholar is included among the top collaborators of Fernando Anschau 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 Fernando Anschau. Fernando Anschau 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.
Rocha, Leonardo, Marcelo Carneiro, Joanna d’Arc Lyra Batista, et al.. (2025). Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods. BMC Infectious Diseases. 25(1). 537–537.
2.
Carvalho, Rafael Lima Rodrigues de, Alexandre Vargas Schwarzbold, Danyelle Romana Alves Rios, et al.. (2024). Patients hospitalized with active tuberculosis and Covid-19 coinfection: A matched case-control from the Brazilian Covid-19 Registry. Anais da Academia Brasileira de Ciências. 96(1). e20230791–e20230791.
3.
Oliveira, Maria Cristina Ferreira de, Fernando Anschau, Luciane Kopittke, et al.. (2024). Neutrophil-Lymphocyte Ratio as a Predictor of the Risk of Death in Severe Cases of COVID-19. Clinical Laboratory. 70(04/2024).
4.
5.
Anschau, Fernando, et al.. (2024). Myocardial protection: comparing histological effects of single-dose cardioplegic solutions—study protocol for a secondary analysis of the CARDIOPLEGIA trial. Journal of Thoracic Disease. 16(2). 1480–1487. 2 indexed citations
6.
Bobermin, Larissa Daniele, Patrícia Sesterheim, Richard Steiner Salvato, et al.. (2023). Serum of COVID-19 patients changes neuroinflammation and mitochondrial homeostasis markers in hippocampus of aged rats. Journal of NeuroVirology. 29(5). 577–587. 3 indexed citations
7.
Etges, Ana Paula Beck da Silva, et al.. (2022). Revisão de remuneração do SUS para linha de cuidado do AVC isquêmico por meio de microcusteio. 14(2). 162–169.
8.
9.
Anschau, Fernando, et al.. (2021). Smart Check – COVID‐19 triage system: Evaluation of the impact on the screening time and identification of clinical manifestations of SARS‐CoV‐2 infection in a public health service. International Journal of Clinical Practice. 75(10). e14610–e14610. 5 indexed citations
10.
Anschau, Fernando, et al.. (2019). Efficacy of low-level laser for treatment of cancer oral mucositis: a systematic review and meta-analysis. Lasers in Medical Science. 34(6). 1053–1062. 44 indexed citations
11.
Anschau, Fernando, et al.. (2018). Vacina contra HPV: a cura do câncer de colo uterino?. 39(2). 477–484. 1 indexed citations
12.
Anschau, Fernando, et al.. (2017). Avaliação de intervenções de Gestão da Clínica na qualificação do cuidado e na oferta de leitos em um hospital público de grande porte. Scientia Medica. 27(2). 26575–26575. 5 indexed citations
13.
Anschau, Fernando, et al.. (2016). Lipids and leukocytes in newborn umbilical vein blood, birth weight and maternal body mass index. Journal of Developmental Origins of Health and Disease. 7(6). 672–677. 5 indexed citations
14.
Anschau, Fernando, et al.. (2012). Urethral prolapse in premenopausal, healthy adult woman. International Urogynecology Journal. 24(2). 353–354. 10 indexed citations
15.
Anschau, Fernando, et al.. (2011). Discordance between Cytology and Biopsy Histology of the Cervix: What to Consider and What to Do. Acta Cytologica. 55(2). 158–162. 7 indexed citations
16.
Anschau, Fernando, et al.. (2008). Transition of cervical carcinoma in situ to invasive cancer: Role of p16INK4a expression in progression and in recurrence. Experimental and Molecular Pathology. 86(1). 46–50. 7 indexed citations
17.
Anschau, Fernando, et al.. (2006). Citologia cervical em meio líquido versus citologia convencional. 20(1). 329–335. 3 indexed citations
18.
Lambert, Ana Paula Franco, et al.. (2005). p16INK4A expression in cervical premalignant and malignant lesions. Experimental and Molecular Pathology. 80(2). 192–196. 42 indexed citations
19.
Anschau, Fernando, et al.. (2005). Associação entre o polimorfismo no códon 72 da p53 e as lesões pré-malignas e malignas cervicais. Revista Brasileira Ginecologia e Obstetrícia. 27(10). 1 indexed citations
20.
Anschau, Fernando, et al.. (2004). Análise da prevalência do papilomavírus humano em relação ao grau da lesão cervical. Social Science & Medicine. 111–116.

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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