Teiichi Oikawa

491 total citations
8 papers, 388 citations indexed

About

Teiichi Oikawa is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Teiichi Oikawa has authored 8 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 2 papers in Pollution and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Teiichi Oikawa's work include Heavy Metal Exposure and Toxicity (8 papers), Mercury impact and mitigation studies (7 papers) and Heavy metals in environment (2 papers). Teiichi Oikawa is often cited by papers focused on Heavy Metal Exposure and Toxicity (8 papers), Mercury impact and mitigation studies (7 papers) and Heavy metals in environment (2 papers). Teiichi Oikawa collaborates with scholars based in Brazil and Japan. Teiichi Oikawa's co-authors include José Luiz Fernandes Vieira, Luiz Carlos L. Silveira, José Luíz Martins do Nascimento, Maria Elena Crespo‐López, Junko Nakanishi, Maria da Conceição Nascimento Pinheiro, Masazumi Harada, Anderson Manoel Herculano, Regina Céli Sarkis Müller and Hideki Ohno and has published in prestigious journals such as The Science of The Total Environment, Environment International and Environmental Research.

In The Last Decade

Teiichi Oikawa

7 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teiichi Oikawa Brazil 7 356 68 47 21 21 8 388
Ana Cláudia Santiago de Vasconcellos Brazil 12 263 0.7× 60 0.9× 51 1.1× 62 3.0× 30 1.4× 17 338
Jane M. Hightower United States 5 349 1.0× 83 1.2× 50 1.1× 9 0.4× 36 1.7× 6 428
A. C. Barbosa Brazil 5 412 1.2× 101 1.5× 28 0.6× 32 1.5× 47 2.2× 6 446
Karolin Ask Björnberg Sweden 6 761 2.1× 91 1.3× 99 2.1× 13 0.6× 39 1.9× 8 816
Helena do Amaral Kehrig Brazil 10 362 1.0× 107 1.6× 19 0.4× 16 0.8× 93 4.4× 14 396
Jayesh Vyas India 6 289 0.8× 40 0.6× 46 1.0× 7 0.3× 21 1.0× 22 360
Alice Momoyo Sakuma Brazil 12 288 0.8× 193 2.8× 67 1.4× 3 0.1× 10 0.5× 32 422
Machi Kubota Japan 7 374 1.1× 47 0.7× 96 2.0× 4 0.2× 14 0.7× 9 433
Mark Donio United States 10 262 0.7× 95 1.4× 47 1.0× 4 0.2× 62 3.0× 11 346
Dingding Shao China 8 323 0.9× 165 2.4× 12 0.3× 4 0.2× 37 1.8× 9 382

Countries citing papers authored by Teiichi Oikawa

Since Specialization
Citations

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

Fields of papers citing papers by Teiichi Oikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teiichi Oikawa

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

All Works

8 of 8 papers shown
1.
Oikawa, Teiichi, et al.. (2012). Temporal Evolution of Exposure to Mercury in Riverside Communities in the Tapajós Basin, from 1994 to 2010. Bulletin of Environmental Contamination and Toxicology. 89(1). 119–124. 14 indexed citations
2.
Macchi, Barbarella de Matos, José Luiz Fernandes Vieira, Teiichi Oikawa, et al.. (2007). Mercury exposure and antioxidant defenses in women: A comparative study in the Amazon. Environmental Research. 107(1). 53–59. 67 indexed citations
3.
Oikawa, Teiichi, et al.. (2007). Avaliação dos teores de mercúrio na urina dos graduandos de odontologia. 21(3). 1 indexed citations
4.
Crespo‐López, Maria Elena, José Luís Fernandes Vieira, Teiichi Oikawa, et al.. (2006). Mercury pollution and childhood in Amazon riverside villages. Environment International. 33(1). 56–61. 62 indexed citations
5.
Oikawa, Teiichi, et al.. (2006). Comparative study of human exposure to mercury in riverside communities in the Amazon region. Brazilian Journal of Medical and Biological Research. 39(3). 411–414. 57 indexed citations
6.
Müller, Regina Céli Sarkis, Jorge Eduardo de Souza Sarkis, José Luiz Fernandes Vieira, et al.. (2005). Mercury and selenium concentrations in hair samples of women in fertile age from Amazon riverside communities. The Science of The Total Environment. 349(1-3). 284–288. 58 indexed citations
7.
Harada, Masazumi, Junko Nakanishi, Maria da Conceição Nascimento Pinheiro, et al.. (2001). Mercury pollution in the Tapajos River basin, Amazon. Environment International. 27(4). 285–290. 112 indexed citations
8.
Pinheiro, Maria da Conceição Nascimento, et al.. (2000). Avaliação da contaminação mercurial mediante análise do teor de Hg total em amostras de cabelo em comunidades ribeirinhas do Tapajós, Pará, Brasil. Revista da Sociedade Brasileira de Medicina Tropical. 33(2). 181–184. 17 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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