Yasushi Ino

8.5k total citations · 5 hit papers
62 papers, 6.5k citations indexed

About

Yasushi Ino is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Yasushi Ino has authored 62 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 19 papers in Genetics and 18 papers in Genetics. Recurrent topics in Yasushi Ino's work include Glioma Diagnosis and Treatment (19 papers), Virus-based gene therapy research (18 papers) and Herpesvirus Infections and Treatments (11 papers). Yasushi Ino is often cited by papers focused on Glioma Diagnosis and Treatment (19 papers), Virus-based gene therapy research (18 papers) and Herpesvirus Infections and Treatments (11 papers). Yasushi Ino collaborates with scholars based in Japan, United States and Canada. Yasushi Ino's co-authors include Tomoki Todo, David N. Louis, Hiroshi Fukuhara, J. Gregory Cairncross, David A. Ramsay, David R. Macdonald, Keisuke Ueki, Jonathan S. Silver, David K. Lisle and Robert Hammond and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Yasushi Ino

62 papers receiving 6.4k citations

Hit Papers

5 papers align trajectories

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.

Specific Genetic Predictors of Chemotherapeutic Response and Survival in Patients With Anaplastic Oligodendrogliomas

1998 1.2k citations J. Gregory Cairncross, Keisuke Ueki et al. profile →
Human Keratinocytes That Express hTERT and Also Bypass a p16^INK4a-Enforced Mechanism That Limits Life Span Become Immortal yet Retain Normal Growth and Differentiation Characteristics

2000 874 citations Yasushi Ino, David N. Louis et al. profile →
Oncolytic virus therapy: A new era of cancer treatment at dawn

2016 564 citations Hiroshi Fukuhara, Yasushi Ino et al. profile →
Intratumoral oncolytic herpes virus G47∆ for residual or recurrent glioblastoma: a phase 2 trial

2022 317 citations Tomoki Todo, Hirotaka Ito et al. Nature Medicine profile →
A phase I/II study of triple-mutated oncolytic herpes virus G47∆ in patients with progressive glioblastoma

2022 135 citations Tomoki Todo, Yasushi Ino et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yasushi Ino Japan	32	2.9k	2.5k	1.7k	1.3k	1.0k	62	6.5k
J. Reifenberger Germany	35	2.8k 0.9×	1.3k 0.5×	1.2k 0.7×	755 0.6×	494 0.5×	100	4.7k
Kojo S.J. Elenitoba‐Johnson United States	47	3.7k 1.3×	1.1k 0.5×	2.0k 1.1×	679 0.5×	528 0.5×	190	7.9k
Hiroaki Wakimoto United States	56	4.8k 1.6×	2.3k 1.0×	3.8k 2.2×	1.5k 1.2×	2.9k 2.8×	185	9.4k
Edward F. Srour United States	43	2.9k 1.0×	1.5k 0.6×	1.8k 1.0×	654 0.5×	1.1k 1.0×	165	7.2k
John Groffen United States	55	6.3k 2.1×	3.6k 1.5×	2.1k 1.2×	803 0.6×	1.6k 1.5×	195	13.0k
Nora Heisterkamp United States	57	6.7k 2.3×	4.9k 2.0×	2.4k 1.4×	881 0.7×	1.6k 1.6×	220	15.2k
Robert Bookstein United States	35	4.3k 1.5×	616 0.3×	3.8k 2.2×	1.3k 1.0×	1.7k 1.6×	52	7.9k
Herbert A. Weich Germany	52	7.7k 2.6×	1.1k 0.4×	3.2k 1.9×	2.9k 2.2×	472 0.5×	114	11.9k
J. Michael Ruppert United States	36	5.4k 1.8×	553 0.2×	2.3k 1.3×	1.9k 1.4×	1.2k 1.2×	54	7.6k
Elio F. Vanin United States	43	4.7k 1.6×	845 0.3×	2.1k 1.2×	869 0.7×	2.3k 2.2×	92	7.3k

Countries citing papers authored by Yasushi Ino

Since Specialization

Citations

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

Fields of papers citing papers by Yasushi Ino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Ino

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

All Works

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20 of 20 papers shown

Todo, Tomoki, Hirotaka Ito, Yasushi Ino, et al.. (2022). Intratumoral oncolytic herpes virus G47∆ for residual or recurrent glioblastoma: a phase 2 trial. Nature Medicine. 28(8). 1630–1639. 317 indexed citations breakdown →

Ino, Yasushi, et al.. (2017). P3.02c-013 Combination Therapy of Oncolytic Herpes Simplex Virus Type 1 with Erlotinib in a Human Lung Cancer Xenograft Model. Journal of Thoracic Oncology. 12(1). S1279–S1279. 1 indexed citations

Kobayashi, Kyousuke, Hiroshi Sagara, Shinya Nakamura, et al.. (2017). MiR-199a Inhibits Secondary Envelopment of Herpes Simplex Virus-1 Through the Downregulation of Cdc42-specific GTPase Activating Protein Localized in Golgi Apparatus. Scientific Reports. 7(1). 6650–6650. 6 indexed citations

Raja, Erna, Akiyoshi Komuro, Ryo Tanabe, et al.. (2017). Bone morphogenetic protein signaling mediated by ALK-2 and DLX2 regulates apoptosis in glioma-initiating cells. Oncogene. 36(35). 4963–4974. 31 indexed citations

Komuro, Akiyoshi, Erna Raja, Caname Iwata, et al.. (2017). Identification of a novel fusion gene HMGA2‐EGFR in glioblastoma. International Journal of Cancer. 142(8). 1627–1639. 12 indexed citations

Koso, Hideto, Paul Sheridan, Satoru Miyano, et al.. (2016). Identification of RNA-Binding Protein LARP4B as a Tumor Suppressor in Glioma. Cancer Research. 76(8). 2254–2264. 43 indexed citations

Ino, Yasushi, et al.. (2016). 412. The Efficacy and Bio-Distribution of Oncolytic HSV-1 (G47Δ) in Mouse Orthotopic Esophageal Cancer Models. Molecular Therapy. 24. S163–S163. 1 indexed citations

Miura, Yutaka, Kazuko Toh, Shourong Wu, et al.. (2013). Cyclic RGD-Linked Polymeric Micelles for Targeted Delivery of Platinum Anticancer Drugs to Glioblastoma through the Blood–Brain Tumor Barrier. ACS Nano. 7(10). 8583–8592. 399 indexed citations

Koyama‐Nasu, Ryo, Yukiko Nasu‐Nishimura, Kenzui Taniue, et al.. (2013). The pleiotrophin-ALK axis is required for tumorigenicity of glioblastoma stem cells. Oncogene. 33(17). 2236–2244. 30 indexed citations

10.

Muraguchi, Teruyuki, Shingo Tanaka, Daisuke Yamada, et al.. (2010). NKX2.2 Suppresses Self-Renewal of Glioma-Initiating Cells. Cancer Research. 71(3). 1135–1145. 21 indexed citations

11.

Koga, Tomoyuki, Akio Morita, Keisuke Maruyama, et al.. (2009). Long-term control of disseminated pleomorphic xanthoastrocytoma with anaplastic features by means of stereotactic irradiation. Neuro-Oncology. 11(4). 446–451. 43 indexed citations

12.

Ikushima, Hiroaki, Tomoki Todo, Yasushi Ino, et al.. (2009). Autocrine TGF-β Signaling Maintains Tumorigenicity of Glioma-Initiating Cells through Sry-Related HMG-Box Factors. Cell stem cell. 5(5). 504–514. 438 indexed citations

13.

Fukuhara, Hiroshi, Yasushi Ino, Toshihiko Kuroda, Robert L. Martuza, & Tomoki Todo. (2005). Triple Gene-Deleted Oncolytic Herpes Simplex Virus Vector Double-Armed with Interleukin 18 and Soluble B7-1 Constructed by Bacterial Artificial Chromosome–Mediated System. Cancer Research. 65(23). 10663–10668. 76 indexed citations

14.

Bauman, Glenn, Yasushi Ino, Keisuke Ueki, et al.. (2000). Allelic loss of chromosome 1p and radiotherapy plus chemotherapy in patients with oligodendrogliomas. International Journal of Radiation Oncology*Biology*Physics. 48(3). 825–830. 189 indexed citations

15.

Ino, Yasushi, Magdalena C. Ƶlatescu, Hikaru Sasaki, et al.. (2000). Long survival and therapeutic responses in patient histologically disparate high-grade gliomas demonstrating chromosome 1p loss. Journal of neurosurgery. 92(6). 983–990. 120 indexed citations

16.

Møller, Michael, et al.. (2000). Frequent disruption of the RB1 pathway in diffuse large B cell lymphoma: prognostic significance of E2F-1 and p16INK4A. Leukemia. 14(5). 898–904. 54 indexed citations

17.

Møller, Michael, et al.. (1999). Aberrations of the p53 pathway components p53, MDM2 and CDKN2A appear independent in diffuse large B cell lymphoma. Leukemia. 13(3). 453–459. 85 indexed citations

18.

Taylor, Michael D., James A. Perry, Magdalena C. Ƶlatescu, et al.. (1999). The hPMS2 exon 5 mutation and malignant glioma. Journal of neurosurgery. 90(5). 946–950. 18 indexed citations

19.

Mishima, Kazuhiko, Akio Asai, Kenji Kadomatsu, et al.. (1997). Increased expression of midkine during the progression of human astrocytomas. Neuroscience Letters. 233(1). 29–32. 93 indexed citations

20.

Hui, Ai‐Min, Michiie Sakamoto, Yae Kanai, et al.. (1996). Inactivation of P16Ink4 in Hepatocellular Carcinoma. Hepatology. 24(3). 575–579. 100 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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