Tohru Maeda

1.2k total citations
62 papers, 844 citations indexed

About

Tohru Maeda is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Tohru Maeda has authored 62 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in Tohru Maeda's work include Prenatal Screening and Diagnostics (7 papers), Liver Disease and Transplantation (6 papers) and Genomic variations and chromosomal abnormalities (6 papers). Tohru Maeda is often cited by papers focused on Prenatal Screening and Diagnostics (7 papers), Liver Disease and Transplantation (6 papers) and Genomic variations and chromosomal abnormalities (6 papers). Tohru Maeda collaborates with scholars based in Japan, United States and Netherlands. Tohru Maeda's co-authors include Michiko Ohno, Akira Matsunobu, Hiromu Mori, Yuzo Hori, Hiro Kiyosue, Eiji Komatsu, Shuichi Tanoue, Satoshi Sumi, Hajime Togari and Anthony M. Marinaki and has published in prestigious journals such as Langmuir, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Tohru Maeda

58 papers receiving 780 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tohru Maeda Japan 16 237 220 196 186 144 62 844
Weimin Yang China 16 85 0.4× 207 0.9× 152 0.8× 324 1.7× 30 0.2× 55 1.0k
C. G. BERGSTRAND Sweden 16 167 0.7× 176 0.8× 251 1.3× 301 1.6× 60 0.4× 52 1.1k
Melchior Lauten Germany 19 89 0.4× 226 1.0× 74 0.4× 250 1.3× 42 0.3× 46 1.0k
Shirin Shahbazi Iran 15 72 0.3× 82 0.4× 124 0.6× 162 0.9× 31 0.2× 79 886
Yue Yang China 21 95 0.4× 30 0.1× 146 0.7× 233 1.3× 135 0.9× 70 1.3k
Andrew B. Grossman United States 19 599 2.5× 121 0.6× 187 1.0× 96 0.5× 30 0.2× 48 952
C Vullo Italy 20 127 0.5× 344 1.6× 56 0.3× 107 0.6× 36 0.3× 83 1.2k
R. Cartland Burns United States 19 178 0.8× 74 0.3× 740 3.8× 362 1.9× 41 0.3× 42 1.3k
Nancy Goodman United States 10 353 1.5× 45 0.2× 114 0.6× 86 0.5× 14 0.1× 24 883
Aris Antsaklis Greece 24 51 0.2× 334 1.5× 261 1.3× 260 1.4× 17 0.1× 104 1.6k

Countries citing papers authored by Tohru Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Tohru Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tohru Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Tohru Maeda. A scholar is included among the top collaborators of Tohru Maeda 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 Tohru Maeda. Tohru Maeda 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.
Yoshioka, Hiroki, Takeshi Moriishi, Satoshi Yokota, et al.. (2024). Juzentaihoto alleviates cisplatin‐induced renal injury in mice. Traditional & Kampo Medicine. 11(2). 147–155. 5 indexed citations
2.
Yoshioka, Hiroki, et al.. (2024). Diurnal variation of cisplatin-induced renal toxicity in ICR mice. Biochemical and Biophysical Research Communications. 725. 150266–150266.
3.
Maeda, Tohru, Go Kitahara, & Takeshi Osawa. (2024). Comparison of serum concentrations of pregnancy-associated glycoproteins and estrone sulphate during pregnancy in eutocia and dystocia beef cattle. The Veterinary Journal. 305. 106147–106147.
4.
Yoshioka, Hiroki, Satoshi Yokota, Masumi Suzui, et al.. (2023). Copper-induced diurnal hepatic toxicity is associated with <i>Cry2</i> and <i>Per1</i> in mice. Environmental Health and Preventive Medicine. 28(0). 78–78. 7 indexed citations
5.
Yoshioka, Hiroki, et al.. (2020). Protective effects of Sasa veitchii extract on acute ethanol‐induced hepatotoxicity in mice. Traditional & Kampo Medicine. 7(2). 78–84. 2 indexed citations
6.
Mizutani, Hideki, Chiaki Shiga, Masanori Imai, et al.. (2020). Idarubicin, an Anthracycline, Induces Oxidative DNA Damage in the Presence of Copper (II). Anticancer Research. 40(10). 5399–5404. 7 indexed citations
7.
Mizutani, Hideki, Kenji Ikemura, Masanori Imai, et al.. (2018). Oxidative DNA Damage Induced by Pirarubicin, an Anthracycline Anticancer Agent, in the Presence of Copper(II). Anticancer Research. 38(5). 2643–2648. 11 indexed citations
8.
Mizutani, Hideki, Kenji Ikemura, Daisuke Miyazawa, et al.. (2017). Pirarubicin, an Anthracycline Anticancer Agent, Induces Apoptosis Through Generation of Hydrogen Peroxide. Anticancer Research. 37(11). 6063–6069. 27 indexed citations
9.
Murakami, Yuko, Haruna Ikeda, Ryota Yamagishi, et al.. (2016). SGO1 is involved in the DNA damage response in MYCNamplified neuroblastoma cells. 1 indexed citations
10.
Murakami‐Tonami, Yuko, Haruna Ikeda, Ryota Yamagishi, et al.. (2016). SGO1 is involved in the DNA damage response in MYCN-amplified neuroblastoma cells. Scientific Reports. 6(1). 31615–31615. 13 indexed citations
12.
Ando, N, Tetsuya Ito, Sachiko Yamaguchi, et al.. (2005). Novel mutations in the cytochrome P450 2C19 gene: a pitfall of the PCR-RFLP method for identifying a common mutation. Journal of Human Genetics. 51(2). 118–123. 3 indexed citations
13.
Yamagami, Takuji, Tsukasa Nakamura, K. Tokiwa, et al.. (2000). Intrahepatic portosystemic venous shunt associated with biliary atresia: case report. Pediatric Radiology. 30(7). 489–491. 16 indexed citations
14.
Uehara, Shigeki, Nobuo Yaegashi, Tohru Maeda, et al.. (1999). Risk of Recurrence of Fetal Chromosomal Aberrations: Analysis of Trisomy 21, Trisomy 18, Trisomy 13, and 45,X in 1,076 Japanese Mothers. Journal of obstetrics and gynaecology research. 25(6). 373–379. 33 indexed citations
15.
Yamagami, Takuji, Toshiyuki Nakamura, & Tohru Maeda. (1999). Aberrant gastric venous inflow to the left lobe of the liver parenchyma adjacent to the falciform ligament.. British Journal of Radiology. 72(861). 903–905. 6 indexed citations
16.
Yaegashi, Nobuo, Masato Senoo, S. Uehara, et al.. (1998). Age-specific incidences of chromosome abnormalities at the second trimester amniocentesis for Japanese mothers aged 35 and older: collaborative study of 5484 cases. Journal of Human Genetics. 43(2). 85–90. 27 indexed citations
17.
Maeda, Tohru, et al.. (1997). CT and MR findings of torsion of greater omentum: a case report. Abdominal Imaging. 22(1). 45–46. 39 indexed citations
18.
Maeda, Tohru, et al.. (1993). Therapeutic embolization of intrahepatic portosystemic shunts by retrograde transcaval catheterization. CardioVascular and Interventional Radiology. 16(4). 245–247. 26 indexed citations
19.
Maeda, Tohru, et al.. (1991). A cytogenetic survey of 14,835 consecutive liveborns. The Japanese Journal of Human Genetics. 36(1). 117–129. 70 indexed citations
20.
Mori, Hiromu, et al.. (1990). [CT and sonographic diagnosis of retained surgical sponge].. PubMed. 50(11). 1350–8. 3 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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