Janaína Luisa Leite

429 citations
18 papers · 322 indexed · h-index 12
Topics
Glutathione Transferases and Polymorphisms (7 papers)Escherichia coli research studies (5 papers)Viral-associated cancers and disorders (4 papers)
Journals
SHILAP Revista de lepidopterologíaClinical Cancer ResearchInfection and Immunity

In The Last Decade

Janaína Luisa Leite

17 papers receiving 309 citations

Peers

Janaína Luisa Leite
Comparison fields: 5 of 61
  • Molecular Biology 167
  • Endocrinology, Diabetes and Metabolism 89
  • Genetics 79
  • Oncology 53
  • Endocrinology 48
Replace M. Kawamura with:
M. Kawamura Japan
M To Canada
Jean‐Claude Nicolas France
Shuangquan Yan China
Lin‐Li Chang Taiwan
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Janaína Luisa Leite relative to M. Kawamura Japan M. Kawamura's profile →
Citations per field
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Citations per year

Countries citing papers authored by Janaína Luisa Leite

Since Specialization
Citations

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

Fields of papers citing papers by Janaína Luisa Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janaína Luisa Leite. 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 Janaína Luisa Leite. The network helps show where Janaína Luisa Leite may publish in the future.

Co-authorship network of co-authors of Janaína Luisa Leite

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 16
3 18
4 18
5 17
6 2
7 17
8
Lack of influence of glutathione S-transferase genotype profile on cancer susceptibility in smokers and nonsmokers.
4
9 17
10 19
11 20
12 11
13 12
14 42
15 48
16 0
17 10
18
The null genotype of glutathione s-transferase M1 and T1 locus increases the risk for thyroid cancer.
49

About Janaína Luisa Leite

Janaína Luisa Leite is a scholar working on Endocrinology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 322 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (7 papers), Escherichia coli research studies (5 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Endocrinology (48 citations), Molecular Medicine (28 citations) and Endocrinology, Diabetes and Metabolism (89 citations). Janaína Luisa Leite has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Laura Sterian Ward, Elaine Cristina Morari, Fabiana Granja, Natássia Elena Búfalo, Lígia Vera Montali da Assumpção, Wanderley Dias da Silveira, Gerson Nakazato, Roberto Santos, João Hamilton Romaldini and Renato Pariz Maluta. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Cancer Research and Infection and Immunity.

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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