Hirohito Yano

2.2k total citations
86 papers, 1.7k citations indexed

About

Hirohito Yano is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hirohito Yano has authored 86 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Genetics, 23 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hirohito Yano's work include Glioma Diagnosis and Treatment (49 papers), Medical Imaging Techniques and Applications (16 papers) and Brain Metastases and Treatment (16 papers). Hirohito Yano is often cited by papers focused on Glioma Diagnosis and Treatment (49 papers), Medical Imaging Techniques and Applications (16 papers) and Brain Metastases and Treatment (16 papers). Hirohito Yano collaborates with scholars based in Japan, United States and Switzerland. Hirohito Yano's co-authors include Jun Shinoda, Toru Iwama, Kazuhiro Miwa, Noboru Sakai, Noriyuki Nakayama, Shinichi Yoshimura, Naoyuki Ohe, Ayumi Okumura, Yasuhiko Kaku and Yoshihiro Muragaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Hirohito Yano

81 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hirohito Yano Japan 22 953 549 396 384 321 86 1.7k
Shigeru Yamaguchi Japan 22 614 0.6× 486 0.9× 298 0.8× 247 0.6× 350 1.1× 107 1.6k
Friedrich-Wilhelm Kreth Germany 26 1.4k 1.5× 782 1.4× 734 1.9× 417 1.1× 198 0.6× 56 2.0k
Naosuke Nonoguchi Japan 24 847 0.9× 495 0.9× 597 1.5× 175 0.5× 218 0.7× 81 1.8k
Adelheid Wöehrer Austria 29 1.1k 1.1× 477 0.9× 480 1.2× 381 1.0× 259 0.8× 97 2.1k
Florian Stockhammer Germany 25 1.5k 1.5× 454 0.8× 475 1.2× 325 0.8× 418 1.3× 53 2.2k
Tareq A. Juratli Germany 21 675 0.7× 258 0.5× 236 0.6× 337 0.9× 390 1.2× 93 1.5k
Jordonna Fulop United States 2 929 1.0× 250 0.5× 292 0.7× 340 0.9× 294 0.9× 2 1.6k
Lynn S. Ashby United States 20 1.1k 1.1× 200 0.4× 361 0.9× 591 1.5× 348 1.1× 46 1.6k
Frank Floeth Germany 23 1.3k 1.4× 1.2k 2.1× 320 0.8× 215 0.6× 232 0.7× 47 2.3k
Naoki Kagawa Japan 26 734 0.8× 483 0.9× 191 0.5× 481 1.3× 444 1.4× 108 1.8k

Countries citing papers authored by Hirohito Yano

Since Specialization
Citations

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

Fields of papers citing papers by Hirohito Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirohito Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Hirohito Yano. A scholar is included among the top collaborators of Hirohito Yano 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 Hirohito Yano. Hirohito Yano 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.
Sugiyama, Shunsuke, Koji Inui, Eishi Motomura, et al.. (2025). Broadband neural oscillatory dynamics at stimulus onset and offset during 40-Hz auditory stimulation. Neuroscience. 584. 231–239.
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Ikegame, Yuka, et al.. (2023). Combining methionine‐PET and MRI fluid‐attenuated inversion‐recovery mismatch to determine glioma molecular subtype. Journal of Neuroimaging. 33(4). 652–660. 4 indexed citations
5.
Ikegame, Yuka, et al.. (2023). Methionine‐PET to differentiate between brain lesions appearing similar on conventional CT/MRI scans. Journal of Neuroimaging. 33(5). 837–844. 3 indexed citations
6.
Yano, Hirohito, Kazuhiro Miwa, Noriyuki Nakayama, et al.. (2023). Differentiation of astrocytoma between grades II and III using a combination of methionine positron emission tomography and magnetic resonance spectroscopy. World Neurosurgery X. 19. 100193–100193.
7.
Daimon, Takashi, Yuka Ikegame, Hirohito Yano, et al.. (2023). Resection of positive tissue on methionine‐PET is associated with improved survival in glioblastomas. Brain and Behavior. 13(12). e3291–e3291. 6 indexed citations
8.
Ikegame, Yuka, et al.. (2022). Brainstem volume, diffusion, and metabolism are associated with chronic consciousness disorders after traumatic brain injury. Journal of Neuroimaging. 33(2). 310–317. 1 indexed citations
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Yano, Hirohito, Akio Kimura, Natsuko Suzui, et al.. (2018). Frontal Tumefactive Demyelinating Lesion Mimicking Glioblastoma Differentiated by Methionine Positron Emission Tomography. World Neurosurgery. 119. 244–248. 7 indexed citations
11.
Miwa, Kazuhiro, Masayuki Matsuo, Shinichi Ogawa, et al.. (2014). Re-irradiation of recurrent glioblastoma multiforme using 11C-methionine PET/CT/MRI image fusion for hypofractionated stereotactic radiotherapy by intensity modulated radiation therapy. Radiation Oncology. 9(1). 181–181. 53 indexed citations
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Matsuo, Masayuki, Kazuhiro Miwa, Osamu Tanaka, et al.. (2010). Impact of [11C]Methionine Positron Emission Tomography for Target Definition of Glioblastoma Multiforme in Radiation Therapy Planning. International Journal of Radiation Oncology*Biology*Physics. 82(1). 83–89. 65 indexed citations
14.
Kato, Takayoshi, Jun Shinoda, Nobuo Oka, et al.. (2008). Analysis of11C-methionine Uptake in Low-Grade Gliomas and Correlation with Proliferative Activity. American Journal of Neuroradiology. 29(10). 1867–1871. 79 indexed citations
15.
Matsuo, Masayuki, Kazuhiro Miwa, Jun Shinoda, et al.. (2008). Target Definition by C11-Methionine-PET for the Radiotherapy of Brain Metastases. International Journal of Radiation Oncology*Biology*Physics. 74(3). 714–722. 24 indexed citations
16.
Otani, Naoki, Carl Muroi, Hirohito Yano, et al.. (2006). Surgical management of tuberculum sellae meningioma: Role of selective extradural anterior clinoidectomy. British Journal of Neurosurgery. 20(3). 129–138. 67 indexed citations
17.
Kato, Masayasu, Hirohito Yano, Ayumi Okumura, et al.. (2004). A non-infantile case of desmoplastic infantile astrocytoma. Child s Nervous System. 20(7). 499–501. 11 indexed citations
18.
Shinoda, Jun, et al.. (2001). Selection of Eligible Patients with Supratentorial Glioblastoma Multiforme for Gross Total Resection. Journal of Neuro-Oncology. 52(2). 161–171. 54 indexed citations
19.
Yano, Hirohito, Akira Hara, S. Murase, et al.. (2001). Expression of hepatocyte growth factor and matrix metalloproteinase-2 in human glioma. Brain Tumor Pathology. 18(1). 7–12. 11 indexed citations
20.
Niwa, Masayuki, Akira Hara, Tomohiko Iwai, et al.. (1998). Relationship between magnitude of hypothermia during ischemia and preventive effect against post-ischemic DNA fragmentation in the gerbil hippocampus. Brain Research. 794(2). 338–342. 25 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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