Hiroto Ishihara

445 total citations
17 papers, 354 citations indexed

About

Hiroto Ishihara is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Hiroto Ishihara has authored 17 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Hiroto Ishihara's work include Epigenetics and DNA Methylation (5 papers), Liver Disease Diagnosis and Treatment (3 papers) and Ubiquitin and proteasome pathways (3 papers). Hiroto Ishihara is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Liver Disease Diagnosis and Treatment (3 papers) and Ubiquitin and proteasome pathways (3 papers). Hiroto Ishihara collaborates with scholars based in Japan, Greece and United States. Hiroto Ishihara's co-authors include Masamoto Kanno, Rieko Kanno, Yuichi Ninomiya, Teruyuki Kajiume, Hiroko Inoue, Osamu Tetsu, Takeshi Matsuzaki, Ryuta Yamazaki, Masaru Taniguchi and Toshinori Ide and has published in prestigious journals such as Immunity, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Hiroto Ishihara

17 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroto Ishihara Japan 9 212 68 63 54 51 17 354
Alexander Henke Germany 7 130 0.6× 159 2.3× 83 1.3× 42 0.8× 31 0.6× 9 393
Elena Alfani Italy 12 189 0.9× 71 1.0× 62 1.0× 68 1.3× 43 0.8× 24 460
Rayna Venook United States 5 218 1.0× 79 1.2× 74 1.2× 56 1.0× 29 0.6× 6 348
Sandy Pelletier Canada 6 128 0.6× 116 1.7× 69 1.1× 55 1.0× 73 1.4× 9 312
Ying Chi Ip Hong Kong 7 160 0.8× 28 0.4× 92 1.5× 28 0.5× 28 0.5× 8 336
Shi-Rong Cai United States 10 225 1.1× 33 0.5× 89 1.4× 86 1.6× 77 1.5× 12 443
Emmanuelle Gilbert France 10 298 1.4× 88 1.3× 61 1.0× 43 0.8× 57 1.1× 13 448
Mahsa Sorouri United States 5 104 0.5× 48 0.7× 30 0.5× 39 0.7× 42 0.8× 7 231
Hengning Ke China 8 213 1.0× 40 0.6× 83 1.3× 44 0.8× 21 0.4× 19 374
Jinjun Cheng United States 10 171 0.8× 26 0.4× 61 1.0× 43 0.8× 29 0.6× 24 377

Countries citing papers authored by Hiroto Ishihara

Since Specialization
Citations

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

Fields of papers citing papers by Hiroto Ishihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroto Ishihara

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

All Works

17 of 17 papers shown
1.
Ishihara, Hiroto, Kazuhiko Kato, Akio Nakashima, et al.. (2025). Increased serum soluble PD-l1 levels in patients with advanced stages of chronic kidney disease. Frontiers in Medicine. 12. 1530804–1530804. 1 indexed citations
2.
Urashima, Mitsuyoshi, et al.. (2022). Association Between Life Expectancy at Age 60 Years Before the COVID-19 Pandemic and Excess Mortality During the Pandemic in Aging Countries. JAMA Network Open. 5(10). e2237528–e2237528. 3 indexed citations
3.
Nagata, Fusaomi, et al.. (2011). A Workmanlike Orthogonal-Type Robot with a Force Input Device. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(7). 888–895. 1 indexed citations
4.
Kawakami, Yoshiiku, Mikiya Kitamoto, Hiroto Ishihara, et al.. (2008). Prospective study of short‐term peginterferon‐α‐2a monotherapy in patients who had a virological response at 2 weeks after initiation of interferon therapy. Journal of Gastroenterology and Hepatology. 23(4). 541–545. 6 indexed citations
5.
6.
Miyazaki, Masaki, Hiroshi Kawamoto, Yuko Kato, et al.. (2005). Polycomb Group Gene mel-18 Regulates Early T Progenitor Expansion by Maintaining the Expression of Hes-1, a Target of the Notch Pathway. The Journal of Immunology. 174(5). 2507–2516. 30 indexed citations
7.
Tahara, E, Hidetoshi Tahara, Masamoto Kanno, et al.. (2005). G1P3, an interferon inducible gene 6-16, is expressed in gastric cancers and inhibits mitochondrial-mediated apoptosis in gastric cancer cell line TMK-1 cell. Cancer Immunology Immunotherapy. 54(8). 729–740. 85 indexed citations
8.
Kajiume, Teruyuki, Yuichi Ninomiya, Hiroto Ishihara, Rieko Kanno, & Masamoto Kanno. (2004). Polycomb group gene mel-18 modulates the self-renewal activity and cell cycle status of hematopoietic stem cells. Experimental Hematology. 32(6). 571–578. 73 indexed citations
9.
Ninomiya, Yuichi, Hiroto Ishihara, Masaki Miyazaki, et al.. (2003). Dimerization of the Polycomb-group protein Mel-18 is regulated by PKC phosphorylation. Biochemical and Biophysical Research Communications. 300(1). 135–140. 16 indexed citations
10.
Ohishi, Waka, M. Kitamoto, Hiroshi Aikata, et al.. (2003). Impact of Aging on the Development of Hepatocellular Carcinoma in Patients with Hepatitis C Virus Infection in Japan. Scandinavian Journal of Gastroenterology. 38(8). 894–900. 34 indexed citations
11.
Inoue, Hiroko, et al.. (2002). Chemokine-mediated thymopoiesis is regulated by a mammalian Polycomb group gene, mel-18. Immunology Letters. 80(2). 139–143. 2 indexed citations
12.
Hasegawa, Masayuki, Osamu Tetsu, Rieko Kanno, et al.. (1998). Short Communication Mammalian Polycomb group genes are categorized as a new type of early response gene induced by B-cell receptor cross-linking. Molecular Immunology. 35(9). 559–563. 16 indexed citations
13.
Tetsu, Osamu, Hiroto Ishihara, Rieko Kanno, et al.. (1998). mel-18 Negatively Regulates Cell Cycle Progression upon B Cell Antigen Receptor Stimulation through a Cascade Leading to c-myc/cdc25. Immunity. 9(4). 439–448. 57 indexed citations
14.
Yokohama, Akihiko, Abe T, Takatoshi Yamada, et al.. (1996). [A case of jejunal malignant lymphoma resulting in perforation 2 years after transcatheter arterial embolization for hepatocellular carcinoma].. PubMed. 93(8). 578–82. 1 indexed citations
15.
Mori, Masatomo, et al.. (1989). An Analogue of Thyrotropin-Releasing Hormone, DN1417, Decreases Naloxone Binding in the Rat Brain. Experimental Biology and Medicine. 192(1). 6–10. 1 indexed citations
16.
Ishihara, Hiroto, et al.. (1985). Criterion for early prediction of coronary artery involvement by clinical manifestations in patients with Kawasaki disease.. PubMed. 32(2). 77–89. 8 indexed citations
17.
Murakami, Masami, et al.. (1984). Alteration by thyrotrophin-releasing hormone of heterogeneous components associated with thyrotrophin biosynthesis in the rat anterior pituitary gland. Journal of Endocrinology. 103(2). 165–171. 12 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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