Ivete Dalben

22 papers receiving 356 citations

Peers

Ivete Dalben
Comparison fields: 5 of 79
  • Pathology and Forensic Medicine 97
  • Endocrinology, Diabetes and Metabolism 77
  • Reproductive Medicine 32
  • Obstetrics and Gynecology 26
  • General Health Professions 67
Replace Kam Shing Lau with:
Kam Shing Lau Hong Kong
Anna Maria Marata Italy
Oscar F. Herrán Colombia
Zulhabri Othman Malaysia
Abegail A. Andaya United States
Mariola Janiszewska Poland
C Q Jiang China
Jean de Dieu Tapsoba United States
Caroline Antoine Belgium
Zakia C Nelson United States
Ivete Dalben relative to Kam Shing Lau Hong Kong Kam Shing Lau's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivete Dalben

Since Specialization
Citations

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

Fields of papers citing papers by Ivete Dalben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivete Dalben, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivete Dalben Line = papers co-authored together Ivete Dalben links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200373
2 200941
3 200837
4 200329
5 200329
6 200626
7 200526
8 200622
9 200717
10 200717
11 200213
12 201212
13 200110
14 20099
15
Adaptação para o Português do questionário de auto-avaliação de percepção de saúde física e mental da mulher de meia-idade - Questionário da Saúde da Mulher
20027
16 20107
17 20036
18 20134
19 20023
20 20052

About Ivete Dalben

Ivete Dalben is a scholar working on Pathology and Forensic Medicine, General Health Professions, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 392 indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (4 papers), Youth, Drugs, and Violence (4 papers), Cancer Risks and Factors (4 papers), Menopause: Health Impacts and Treatments (3 papers), Global Cancer Incidence and Screening (3 papers), Alcohol Consumption and Health Effects (2 papers), Leprosy Research and Treatment (2 papers) and Phytoestrogen effects and research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (97 citations), Endocrinology, Diabetes and Metabolism (77 citations), Reproductive Medicine (32 citations), Obstetrics and Gynecology (26 citations) and General Health Professions (67 citations). Ivete Dalben has collaborated with scholars based in Brazil, Colombia and Peru. Frequent co-authors include Anaglória Pontes, Paulo Traiman, Eliana Aguiar Petri Nahás, Florence Kerr-Corrêa, Laurival A. De Luca, Luzia A. Trinca, Daisy Maria Fávero Salvadori, Adriana Marcassa Tucci, M. S. P. Ladeira and Jorge Nahás-Neto. Their work appears in journals such as Revista de Saúde Pública, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Alcohol and Alcoholism, Menopause The Journal of The North American Menopause Society and Maturitas.

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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