Ichiro Takemasa

14.1k total citations · 2 hit papers
310 papers, 8.0k citations indexed

About

Ichiro Takemasa is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ichiro Takemasa has authored 310 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 187 papers in Oncology, 125 papers in Surgery and 78 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ichiro Takemasa's work include Colorectal Cancer Surgical Treatments (90 papers), Colorectal Cancer Treatments and Studies (47 papers) and Colorectal and Anal Carcinomas (46 papers). Ichiro Takemasa is often cited by papers focused on Colorectal Cancer Surgical Treatments (90 papers), Colorectal Cancer Treatments and Studies (47 papers) and Colorectal and Anal Carcinomas (46 papers). Ichiro Takemasa collaborates with scholars based in Japan, United States and Taiwan. Ichiro Takemasa's co-authors include Hirofumi Yamamoto, Morito Monden, Yuichiro� Doki, Mitsugu Sekimoto, Masaki Mori, Masataka Ikeda, Tsunekazu Mizushima, Junichi Nishimura, Kenichi Matsubara and Mamoru Uemura and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ichiro Takemasa

293 papers receiving 7.8k citations

Hit Papers

Reprogramming of Mouse and Human Cells to Pluripotency U... 2003 2026 2010 2018 2011 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Reprogramming of Mouse and Human Cells to Pluripotency Using Mature MicroRNAs
    2011 574 citations Hideshi Ishii, Hiroaki Nagano et al. profile →
  2. A Bayesian missing value estimation method for gene expression profile data
    2003 514 citations Ichiro Takemasa, Morito Monden et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ichiro Takemasa Japan 48 3.8k 3.0k 2.1k 1.7k 1.3k 310 8.0k
Mitsugu Sekimoto Japan 47 2.9k 0.8× 3.1k 1.0× 1.3k 0.6× 2.3k 1.3× 1.6k 1.2× 368 7.8k
De‐Shen Wang China 40 2.9k 0.8× 2.0k 0.6× 2.5k 1.2× 865 0.5× 1.4k 1.1× 142 6.2k
Francesco Bertolini Italy 57 5.0k 1.3× 4.2k 1.4× 2.7k 1.3× 911 0.5× 1.2k 0.9× 244 10.5k
Steven A. Eschrich United States 42 3.4k 0.9× 3.2k 1.1× 1.8k 0.8× 629 0.4× 2.4k 1.8× 170 9.3k
Zhen Zhang China 41 1.9k 0.5× 1.8k 0.6× 1.6k 0.8× 1.5k 0.8× 1.9k 1.5× 307 6.6k
Eiji Oki Japan 53 3.5k 0.9× 4.5k 1.5× 1.8k 0.8× 3.3k 1.9× 3.5k 2.7× 617 10.9k
Moritz Koch Germany 46 2.2k 0.6× 4.6k 1.5× 2.1k 1.0× 1.8k 1.1× 1.5k 1.1× 98 7.8k
Rodrigo Dienstmann Spain 37 3.2k 0.8× 3.4k 1.1× 2.2k 1.0× 715 0.4× 1.7k 1.3× 179 7.0k
Armin Gerger Austria 48 1.7k 0.4× 4.7k 1.6× 1.9k 0.9× 1.4k 0.8× 1.6k 1.2× 226 7.5k
Jiong Wu China 51 4.4k 1.2× 3.1k 1.0× 3.7k 1.8× 900 0.5× 921 0.7× 326 9.3k

Countries citing papers authored by Ichiro Takemasa

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Takemasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ichiro Takemasa

This figure shows the co-authorship network connecting the top 25 collaborators of Ichiro Takemasa. A scholar is included among the top collaborators of Ichiro Takemasa 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 Ichiro Takemasa. Ichiro Takemasa 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.
Hamabe, Atsushi, Ichiro Takemasa, Masayuki Ishii, et al.. (2024). The potential of an artificial intelligence for diagnosing MRI images in rectal cancer: multicenter collaborative trial. Journal of Gastroenterology. 59(10). 896–904. 5 indexed citations
2.
Oki, Eiji, Ryota Nakanishi, Koji Ando, et al.. (2024). Recurrence monitoring using ctDNA in patients with metastatic colorectal cancer: COSMOS-CRC-03 and AURORA studies. SHILAP Revista de lepidopterología. 3. 100034–100034. 1 indexed citations
3.
Kagawa, Yoshinori, Jun Watanabe, Koji Ando, et al.. (2024). Circulating tumor DNA for predicting radiographic and pathologic response to total neoadjuvant therapy in locally advanced rectal cancer: ENSEMBLE-1.. Journal of Clinical Oncology. 42(23_suppl). 71–71.
4.
Nakamura, Yoshiaki, Keiji Hirata, Naoya Akazawa, et al.. (2024). Prognostic and predictive value of ctDNA-based MRD and actionable biomarkers in patients with resectable colorectal cancer: CIRCULATE-Japan GALAXY.. Journal of Clinical Oncology. 42(16_suppl). 3609–3609.
5.
6.
Hata, Taishi, Hiroyuki Yamamoto, Masataka Ikeda, et al.. (2024). Status of perioperative venous thromboembolism (VTE) prophylaxis in gastrointestinal surgery based on national clinical database (NCD) data in Japan. Surgery Today. 55(6). 814–822.
7.
Kagawa, Yoshinori, Jun Watanabe, Mamoru Uemura, et al.. (2023). Short‐term outcomes of a prospective multicenter phase II trial of total neoadjuvant therapy for locally advanced rectal cancer in Japan (ENSEMBLE‐1). Annals of Gastroenterological Surgery. 7(6). 968–976. 5 indexed citations
8.
Kikuchi, Yasuhiro, Serina Tokita, Vitaly Kochin, et al.. (2021). CD8+ T–cell Immune Surveillance against a Tumor Antigen Encoded by the Oncogenic Long Noncoding RNA PVT1. Cancer Immunology Research. 9(11). 1342–1353. 30 indexed citations
9.
Imamura, Masafumi, Minoru Nagayama, Daisuke Kyuno, et al.. (2021). Perioperative Predictors of Early Recurrence for Resectable and Borderline-Resectable Pancreatic Cancer. Cancers. 13(10). 2285–2285. 26 indexed citations
10.
Kyuno, Daisuke, Akira Takasawa, Kumi Takasawa, et al.. (2021). Claudin-18.2 as a therapeutic target in cancers: cumulative findings from basic research and clinical trials. Tissue Barriers. 10(1). 1967080–1967080. 58 indexed citations
11.
Sato, Yu, Kenji Okita, Daisuke Kyuno, et al.. (2021). Snapshots of lymphatic pathways in colorectal cancer surgery using near-infrared fluorescence, in vivo and ex vivo. European Journal of Surgical Oncology. 47(12). 3130–3136. 21 indexed citations
12.
Okita, Kenji, et al.. (2020). CT reconstruction with thick slices not only underestimates lymph node size but also reduces data reproducibility in colorectal cancer. Acta Radiologica. 62(10). 1275–1282. 3 indexed citations
13.
Yamaguchi, Hiroshi, Yasutoshi Kimura, Masafumi Imamura, et al.. (2020). <p>Effect of Rikkunshito, a Traditional Japanese Herbal Medicine, on Delayed Gastric Emptying and Oral Dietary Intake After Pancreaticoduodenectomy: A Prospective, Randomized, Single-Center, Open-Labeled Study</p>. Clinical and Experimental Gastroenterology. Volume 13. 577–587. 3 indexed citations
14.
Kutomi, Goro, Hiroaki Shima, Toshio Honma, et al.. (2020). The Unique Mental Impacts of Breast-Conserving Surgery and Mastectomy According to a Multi-Centered Cross Sectional Survey Conducted in Japan. SHILAP Revista de lepidopterología. 119–126. 2 indexed citations
15.
Kochin, Vitaly, Takayuki Kanaseki, Ayumi Hongo, et al.. (2018). The Antigen ASB4 on Cancer Stem Cells Serves as a Target for CTL Immunotherapy of Colorectal Cancer. Cancer Immunology Research. 6(3). 358–369. 41 indexed citations
16.
Yamamoto, Hirofumi, Kohei Murata, Mutsumi Fukunaga, et al.. (2016). Micrometastasis Volume in Lymph Nodes Determines Disease Recurrence Rate of Stage II Colorectal Cancer: A Prospective Multicenter Trial. Clinical Cancer Research. 22(13). 3201–3208. 32 indexed citations
17.
Takahashi, Hidekazu, Junichi Nishimura, Yoshinori Kagawa, et al.. (2015). Significance of Polypyrimidine Tract–Binding Protein 1 Expression in Colorectal Cancer. Molecular Cancer Therapeutics. 14(7). 1705–1716. 61 indexed citations
18.
Takeyama, Hiroshi, Hirofumi Yamamoto, Shinya Yamashita, et al.. (2014). Decreased miR-340 Expression in Bone Marrow Is Associated with Liver Metastasis of Colorectal Cancer. Molecular Cancer Therapeutics. 13(4). 976–985. 64 indexed citations
19.
Uemura, Mamoru, Hirofumi Yamamoto, Ichiro Takemasa, et al.. (2010). Jumonji Domain Containing 1A Is a Novel Prognostic Marker for Colorectal Cancer: In vivo Identification from Hypoxic Tumor Cells. Clinical Cancer Research. 16(18). 4636–4646. 80 indexed citations
20.
Asaoka, Tadafumi, Tomoaki Kato, Shigeru Marubashi, et al.. (2009). Differential Transcriptome Patterns for Acute Cellular Rejection in Recipients with Recurrent Hepatitis C After Liver Transplantation. Liver Transplantation. 15(12). 1738–1749. 21 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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