Rishu Takimoto

148 papers receiving 5.7k citations

Peers

Rishu Takimoto
Comparison fields: 5 of 118
  • Hematology 1.1k
  • Hepatology 637
  • Genetics 861
  • Oncology 1.4k
  • Molecular Biology 2.4k
Replace Junji Kato with:
Junji Kato Japan
Taira Maekawa Japan
Francesco Bertolini Italy
Koji Miyanishi Japan
Gerald A. Soff United States
Kamran Alimoghaddam Iran
Masayoshi Namba Japan
Didier Bouscary France
Kyriakos P. Papadopoulos United States
Sug Hyung Lee South Korea
Rishu Takimoto relative to Junji Kato Japan Junji Kato's profile →
Citations per field
00.5×1.5×1.8×
Junji Kato · 1×
Citations per year

Countries citing papers authored by Rishu Takimoto

Since Specialization
Citations

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

Fields of papers citing papers by Rishu Takimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rishu Takimoto, 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 Rishu Takimoto Line = papers co-authored together Rishu Takimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008499
2 2005488
3 2003447
4 2000286
5 2001187
6
Normalization of elevated hepatic 8-hydroxy-2'-deoxyguanosine levels in chronic hepatitis C patients by phlebotomy and low iron diet.
2001181
7 2001165
8 2001157
9 2007148
10 2002124
11 2003120
12 2002106
13 2009104
14
Induction of PIG3 and NOXA through acetylation of p53 at 320 and 373 lysine residues as a mechanism for apoptotic cell death by histone deacetylase inhibitors.
200396
15 200695
16 200786
17 201585
18 200485
19 200384
20 201381

About Rishu Takimoto

Rishu Takimoto is a scholar working on Molecular Biology, Oncology, Hematology, Surgery and Genetics, having authored 155 papers that have together received 5.8k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (9 papers), Acute Myeloid Leukemia Research (9 papers), Cancer-related Molecular Pathways (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Hemoglobinopathies and Related Disorders (7 papers), Hepatitis B Virus Studies (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Platelet Disorders and Treatments (6 papers). The work is most often cited by research in Hematology (1.1k citations), Hepatology (637 citations), Genetics (861 citations), Oncology (1.4k citations) and Molecular Biology (2.4k citations). Rishu Takimoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masayoshi Kobune, Yoshiro Niitsu, Wafik S. El‐Deiry, Junji Kato, Tetsuji Takayama, Yasushi Sato, Koji Miyanishi, Yutaka Kawano, Tsutomu Sato and Takuya Matsunaga. Their work appears in journals such as Blood, Anticancer Research, Gastrointestinal Endoscopy, International Journal of Hematology and Experimental Hematology.

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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