Masahiro Ito

3.0k total citations
126 papers, 2.1k citations indexed

About

Masahiro Ito is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Masahiro Ito has authored 126 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 35 papers in Surgery and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Masahiro Ito's work include Gastric Cancer Management and Outcomes (13 papers), Organ Transplantation Techniques and Outcomes (13 papers) and Liver physiology and pathology (11 papers). Masahiro Ito is often cited by papers focused on Gastric Cancer Management and Outcomes (13 papers), Organ Transplantation Techniques and Outcomes (13 papers) and Liver physiology and pathology (11 papers). Masahiro Ito collaborates with scholars based in Japan, United States and China. Masahiro Ito's co-authors include Kazuhiro Migita, Sohei Matsumoto, Kohei Wakatsuki, Yoshiyuki Nakajima, Tetsuya Tanaka, Tomoyoshi Takayama, Ira J. Fox, Koji Enomoto, Jin Cai and Norihisa Fujita and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

In The Last Decade

Masahiro Ito

117 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masahiro Ito Japan 25 839 639 496 451 303 126 2.1k
Young Min Park South Korea 30 1.2k 1.5× 475 0.7× 485 1.0× 601 1.3× 282 0.9× 168 3.0k
Hiroki Nakamura Japan 24 966 1.2× 449 0.7× 565 1.1× 810 1.8× 137 0.5× 126 2.1k
Hui Yuan China 23 480 0.6× 483 0.8× 318 0.6× 308 0.7× 147 0.5× 134 1.8k
Stefano Realdon Italy 21 404 0.5× 312 0.5× 306 0.6× 313 0.7× 255 0.8× 75 1.4k
Haresh Mani United States 25 374 0.4× 526 0.8× 358 0.7× 1.4k 3.1× 184 0.6× 67 3.2k
Jianwei Li China 23 538 0.6× 274 0.4× 272 0.5× 173 0.4× 298 1.0× 136 1.6k
Youngchul Kim United States 29 370 0.4× 813 1.3× 676 1.4× 411 0.9× 122 0.4× 193 2.5k
Wei Qian China 23 421 0.5× 465 0.7× 775 1.6× 528 1.2× 93 0.3× 98 1.9k
Ståle Nygård Norway 28 346 0.4× 784 1.2× 200 0.4× 332 0.7× 212 0.7× 80 2.2k
Feng Li China 27 466 0.6× 583 0.9× 707 1.4× 681 1.5× 203 0.7× 152 2.5k

Countries citing papers authored by Masahiro Ito

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Ito. A scholar is included among the top collaborators of Masahiro Ito 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 Masahiro Ito. Masahiro Ito 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.
Khairunisa, Siti Qamariyah, et al.. (2025). Designing a multi-epitope vaccine targeting the HIV-1 subtype CRF01_AE in Indonesia. Computers in Biology and Medicine. 187. 109758–109758. 1 indexed citations
2.
Khairunisa, Siti Qamariyah, Shuhei Ueda, Tomohiro Kotaki, et al.. (2024). Spatial–temporal transmission dynamics of HIV-1 CRF01_AE in Indonesia. Scientific Reports. 14(1). 9917–9917. 4 indexed citations
3.
Kubota, Yukihiko, et al.. (2022). The PAF1 complex cell autonomously promotes oogenesis in Caenorhabditis elegans. Genes to Cells. 27(6). 409–420. 3 indexed citations
4.
Kubota, Yukihiko, et al.. (2022). In silico Analysis of SARS-CoV-2 ORF8-Binding Proteins Reveals the Involvement of ORF8 in Acquired-Immune and Innate-Immune Systems. Frontiers in Medicine. 9. 824622–824622. 9 indexed citations
5.
Ito, Masahiro, Kazuhiro Migita, Sohei Matsumoto, et al.. (2017). Overexpression of E3 ubiquitin ligase tripartite motif 32 correlates with a poor prognosis in patients with gastric cancer. Oncology Letters. 13(5). 3131–3138. 20 indexed citations
6.
Migita, Kazuhiro, Tomoyoshi Takayama, Sohei Matsumoto, et al.. (2013). Prognostic impact of RING box protein-1 (RBX1) expression in gastric cancer. Gastric Cancer. 17(4). 601–609. 32 indexed citations
7.
Migita, Kazuhiro, Tomoyoshi Takayama, Keigo Saeki, et al.. (2013). The Prognostic Nutritional Index Predicts Long-term Outcomes of Gastric Cancer Patients Independent of Tumor Stage. Annals of Surgical Oncology. 20(8). 2647–2654. 286 indexed citations
8.
Yamada, Yukishige, et al.. (2012). A Case of Partial Appendiceal Intussusception Induced by Appendiceal Carcinoma. The Japanese Journal of Gastroenterological Surgery. 45(6). 664–671.
9.
Tohsato, Yukako, et al.. (2012). Comparative proteomic analysis reveals differentially expressed proteins in Caenorhabditis elegans pgl-1 mutants grown at 20 °C and 25 °C. Journal of Proteomics. 75(15). 4792–4801. 5 indexed citations
10.
Nishikawa, Ikuko, et al.. (2010). Prediction of the protein O-glycosylation by machine learning and statistical characters around the glycosylation sites. International Conference on Software Engineering. 671–674. 1 indexed citations
11.
12.
Ito, Masahiro, Kazuhito Yokoi, Takashi Inoue, et al.. (2009). Sphingomyelins in Four Ascidians, Ciona intestinalis, Halocynthia roretzi, Halocynthia aurantium, and Styela clava. Journal of Oleo Science. 58(9). 473–480. 9 indexed citations
13.
Sekiyama, Kosuke, et al.. (2009). An Adaptive Muscular Force Generation Mechanism Based on Prior Information of Handling Object. Journal of Advanced Computational Intelligence and Intelligent Informatics. 13(3). 222–229.
14.
Sugita, Mutsumi, Saki Itonori, Akira Makita, et al.. (2008). Structural analysis of phosphonolipids of the Giant Ezo scallop Patinopecten yessoensis. Medical Entomology and Zoology. 21–29. 2 indexed citations
15.
Yamada, So, et al.. (2007). A Novel Sulfatide, GlcCer-I6 Sulfate, from the Ascidian Ciona intestinalis. Journal of Oleo Science. 56(3). 129–136. 6 indexed citations
16.
Ito, Masahiro, et al.. (2001). Dynamic response analysis of the Thor-Lx dummy lower extremity. 2001. 1 indexed citations
17.
Ono, Koshiro, et al.. (2001). A COMPARISON BETWEEN BIORID AND HYBRID III HEAD/NECK/TORSO RESPONSE IN MIDDLE SPEED SLED REAR IMPACT TESTS. 2001. 9 indexed citations
18.
Nomura, Masatoshi, H. Kurokawa, Junichi Ishii, et al.. (1999). [The role of angioscopy and intravascular ultrasound imaging in acute coronary syndrome].. PubMed. 33 Suppl 1. 17–21. 1 indexed citations
19.
Ono, Koshiro, et al.. (1996). EVALUATION OF TAD-50M DUMMY PROTOTYPE PERFORMANCE IN HYGE SLED TESTS. 1996. 1632–1643. 2 indexed citations
20.
Ito, Masahiro, et al.. (1988). Morphometrical Study on the Sclerotic Inferior Vena Cava in Chronic Lung Disease. Nagasaki University's Academic Output SITE (Nagasaki University). 33(1). 157–162. 1 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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