Akiko Tsubouchi

464 total citations
17 papers, 364 citations indexed

About

Akiko Tsubouchi is a scholar working on Parasitology, Molecular Biology and Epidemiology. According to data from OpenAlex, Akiko Tsubouchi has authored 17 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Parasitology, 7 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Akiko Tsubouchi's work include Parasites and Host Interactions (6 papers), Trypanosoma species research and implications (5 papers) and Biochemical and Molecular Research (4 papers). Akiko Tsubouchi is often cited by papers focused on Parasites and Host Interactions (6 papers), Trypanosoma species research and implications (5 papers) and Biochemical and Molecular Research (4 papers). Akiko Tsubouchi collaborates with scholars based in Japan, Taiwan and France. Akiko Tsubouchi's co-authors include Takashi Aoki, Junko Nakajima‐Shimada, Fumiyuki Kiuchi, Gisho Honda, Nahoko Uchiyama, Takeshi Nara, Chia‐Kwung Fan, Chien‐Wei Liao, Keiji Matsunaga and Takeshi Annoura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Akiko Tsubouchi

17 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akiko Tsubouchi Japan 11 144 109 96 84 77 17 364
Priscila de Faria Pinto Brazil 15 141 1.0× 198 1.8× 116 1.2× 74 0.9× 154 2.0× 53 636
Deborah Kioy Switzerland 8 91 0.6× 75 0.7× 105 1.1× 46 0.5× 209 2.7× 11 428
Moses Samje Cameroon 11 80 0.6× 64 0.6× 59 0.6× 63 0.8× 124 1.6× 32 393
Ludmila Nakamura Rapado Brazil 8 81 0.6× 84 0.8× 108 1.1× 78 0.9× 98 1.3× 13 302
Olakunle O. Kassim United States 12 73 0.5× 115 1.1× 30 0.3× 49 0.6× 86 1.1× 28 379
Mandira Mukherjee India 12 134 0.9× 26 0.2× 137 1.4× 58 0.7× 35 0.5× 47 390
Thiago R. Morais Brazil 13 97 0.7× 125 1.1× 65 0.7× 90 1.1× 137 1.8× 19 469
Albert Same Ekobo Cameroon 10 53 0.4× 104 1.0× 26 0.3× 77 0.9× 247 3.2× 31 458
Moussa Koné Ivory Coast 15 101 0.7× 40 0.4× 113 1.2× 208 2.5× 393 5.1× 44 699
Dinora Lopes Portugal 18 133 0.9× 132 1.2× 63 0.7× 112 1.3× 541 7.0× 31 767

Countries citing papers authored by Akiko Tsubouchi

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Tsubouchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Tsubouchi

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

All Works

17 of 17 papers shown
1.
Morales, Jorge, Muneaki Hashimoto, Tom A. Williams, et al.. (2016). Differential remodelling of peroxisome function underpins the environmental and metabolic adaptability of diplonemids and kinetoplastids. Proceedings of the Royal Society B Biological Sciences. 283(1830). 20160520–20160520. 27 indexed citations
2.
Weng, Hui-Wen, et al.. (2015). Seroprevalence, Seroconversion, and Risk Factors for Toxoplasmosis among Pregnant Women in Taipei, Taiwan. Japanese Journal of Infectious Diseases. 68(4). 312–317. 14 indexed citations
3.
Nara, Takeshi, et al.. (2012). Prevalence of Schistosoma Intercalatum and S. Haematobium Infection Among Primary Schoolchildren in Capital Areas of Democratic Republic Of São Tomé and Príncipe, West Africa. SHILAP Revista de lepidopterología. 2 indexed citations
4.
Liao, Chien‐Wei, Takeshi Nara, Akiko Tsubouchi, et al.. (2012). Prevalence of Schistosoma intercalatum and S. haematobium Infection among Primary Schoolchildren in Capital Areas of Democratic Republic Of São Tomé and Príncipe, West Africa.. PubMed. 7(1). 67–72. 7 indexed citations
5.
Nara, Takeshi, Muneaki Hashimoto, Hiroko Hirawake, et al.. (2012). Molecular interaction of the first 3 enzymes of the de novo pyrimidine biosynthetic pathway of Trypanosoma cruzi. Biochemical and Biophysical Research Communications. 418(1). 140–143. 6 indexed citations
6.
Fan, Chia‐Kwung, Chien‐Wei Liao, Yueh‐Lun Lee, et al.. (2012). Toxoplasma gondii infection: relationship between seroprevalence and risk factors among primary schoolchildren in the capital areas of Democratic Republic of São Tomé and Príncipe, West Africa. Parasites & Vectors. 5(1). 141–141. 34 indexed citations
7.
Fan, Chia‐Kwung, Chien‐Wei Liao, Shu-Yu Lyu, et al.. (2012). Prevalence of intestinal parasitic infections among primary schoolchildren in areas devoid of sanitation in northwestern Kingdom of Swaziland, Southern Africa. Pathogens and Global Health. 106(1). 60–62. 11 indexed citations
8.
Hashimoto, Muneaki, Jorge Morales, Shigeo Suzuki, et al.. (2011). Critical importance of the de novo pyrimidine biosynthesis pathway for Trypanosoma cruzi growth in the mammalian host cell cytoplasm. Biochemical and Biophysical Research Communications. 417(3). 1002–1006. 28 indexed citations
9.
Liao, Chien‐Wei, Takeshi Nara, Akiko Tsubouchi, et al.. (2011). Prevalence of Schistosoma haematobium infection among schoolchildren in remote areas devoid of sanitation in northwestern Swaziland, Southern Africa.. PubMed. 64(4). 322–6. 11 indexed citations
10.
Liao, Chien‐Wei, et al.. (2011). Prevalence of <i>Schistosoma haematobium</i> Infection among Schoolchildren in Remote Areas Devoid of Sanitation in Northwestern Swaziland, Southern Africa. Japanese Journal of Infectious Diseases. 64(4). 322–326. 8 indexed citations
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13.
Sariego, Idalia, Takeshi Annoura, Takeshi Nara, et al.. (2005). Genetic diversity and kinetic properties of Trypanosoma cruzi dihydroorotate dehydrogenase isoforms. Parasitology International. 55(1). 11–16. 12 indexed citations
14.
Tsubouchi, Akiko, et al.. (2004). INHIBITION OF TRYPANOSOMA CRUZI GROWTH IN MAMMALIAN CELLS BY NIMODIPINE, WITH LOW CYTOTOXICITY TO HOST CELLS. Tropical Medicine and Health. 32(2). 181–188. 3 indexed citations
15.
Honda, Gisho, et al.. (2003). Trypanocidal Constituents from Michelia alba. Natural medicines = 生薬學雜誌. 57(2). 61–63. 15 indexed citations
16.
Kiuchi, Fumiyuki, Nahoko Uchiyama, Gisho Honda, et al.. (2002). Monoterpene Hydroperoxides with Trypanocidal Activity from Chenopodium ambrosioides. Journal of Natural Products. 65(4). 509–512. 103 indexed citations
17.
Uchiyama, Nahoko, Keiji Matsunaga, Fumiyuki Kiuchi, et al.. (2002). Trypanocidal Terpenoids from Laurus nobilis L.. Chemical and Pharmaceutical Bulletin. 50(11). 1514–1516. 39 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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