Hiroshi Yano

6.2k total citations · 5 hit papers
81 papers, 4.3k citations indexed

About

Hiroshi Yano is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Hiroshi Yano has authored 81 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 27 papers in Immunology and 14 papers in Plant Science. Recurrent topics in Hiroshi Yano's work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (7 papers). Hiroshi Yano is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (7 papers). Hiroshi Yano collaborates with scholars based in Japan, United States and Singapore. Hiroshi Yano's co-authors include Dario A.A. Vignali, Lawrence P. Andrews, S. Nakanishi, Y Matsuda, Creg J. Workman, Yutaka Saitoh, Yoshimune Nonomura, Yoshinori Fukui, Nobuo Hanai and Koutarou D. Kimura and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Hiroshi Yano

79 papers receiving 4.2k 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.

Inhibition of histamine secretion by wortmannin through the blockade of phosphatidylinositol 3-kinase in RBL-2H3 cells.

1993 678 citations Hiroshi Yano, Yutaka Saitoh et al. profile →
Interferon-γ Drives Treg Fragility to Promote Anti-tumor Immunity

2017 432 citations Maria Chikina, Hiroshi Yano et al. Cell profile →
Inhibitory receptors and ligands beyond PD-1, PD-L1 and CTLA-4: breakthroughs or backups

2019 401 citations Lawrence P. Andrews, Hiroshi Yano et al. Nature Immunology profile →
Adaptive plasticity of IL-10+ and IL-35+ Treg cells cooperatively promotes tumor T cell exhaustion

2019 388 citations Deepali V. Sawant, Hiroshi Yano et al. Nature Immunology profile →
Microbiota-derived bile acids antagonize the host androgen receptor and drive anti-tumor immunity

2025 18 citations Wen‐Bing Jin, Wen Zhang et al. Cell profile →

Peers

Countries citing papers authored by Hiroshi Yano

Since Specialization

Citations

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

Fields of papers citing papers by Hiroshi Yano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Yano. A scholar is included among the top collaborators of Hiroshi 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 Hiroshi Yano. Hiroshi Yano 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

#	Work	Indexed citations
1	Fungal symbiont transmitted by free-living mice promotes type 2 immunity 2024 ·Nature ·Yun Liao, Iris H. Gao, Takato Kusakabe, Woan-Yu Lin, (unknown), Xiangyu Pan, (unknown), Terrance Shea, Hiroshi Yano, Danielle Karo‐Atar, Kurt Olsen, Ji Hoon Oh, Kurt J. Vandegrift, Irah L. King, Christina A. Cuomo, David Artis, Barbara Rehermann, Neil S Lipman, Iliyan D. Iliev	16
2	Gut-innervating nociceptors regulate the intestinal microbiota to promote tissue protection 2022 ·Cell ·Wen Zhang, Mengze Lyu, Nicholas J. Bessman, Zili Xie, Mohammad Arifuzzaman, Hiroshi Yano, Christopher N. Parkhurst, Coco Chu, Lei Zhou, Gregory Putzel, Tingting Li, Wen‐Bing Jin, Jordan Zhou, Hongzhen Hu, Amy M. Tsou, Chun‐Jun Guo, David Artis	91
3	Interleukin-35: Structure, Function and Its Impact on Immune-Related Diseases 2021 ·Journal of Interferon & Cytokine Research ·(unknown), Hiroshi Yano, Creg J. Workman, Dario A.A. Vignali	60
4	Adaptive plasticity of IL-10+ and IL-35+ Treg cells cooperatively promotes tumor T cell exhaustion breakdown → 2019 ·Nature Immunology ·Deepali V. Sawant, Hiroshi Yano, Maria Chikina, Qianxia Zhang, Mengting Liao, Chang Liu, Derrick Callahan, Zhe Sun, Tao Sun, Tracy Tabib, Arjun Pennathur, David B. Corry, James D. Luketich, Robert Lafyatis, Wei Chen, Amanda C. Poholek, Tullia C. Bruno, Creg J. Workman, Dario A.A. Vignali	388
5	T Cell Receptor-Independent, CD31/IL-17A-Driven Inflammatory Axis Shapes Synovitis in Juvenile Idiopathic Arthritis 2018 ·Frontiers in Immunology ·Ian Ferguson, Patricia Griffin, Joshua J. Michel, Hiroshi Yano, Sarah L. Gaffen, (unknown), Jeffrey Dvergsten, Jon D. Piganelli, Margalit Rosenkranz, Daniel Kietz, Abbe N. Vallejo	17
6	Interleukin-35 Limits Anti-Tumor Immunity 2016 ·Immunity ·Meghan E. Turnis, Deepali V. Sawant, Andrea L. Szymczak-Workman, Lawrence P. Andrews, Greg M. Delgoffe, Hiroshi Yano, Amy Beres, Peter Vogel, Creg J. Workman, Dario A.A. Vignali	243
7	Route of antigen delivery impacts the immunostimulatory activity of dendritic cell-based vaccines for hepatocellular carcinoma 2015 ·Journal for ImmunoTherapy of Cancer ·Angela D. Pardee, Hiroshi Yano, Aliyah M. Weinstein, (unknown), (unknown), Daniel P. Normolle, Lazar Vujanović, Gerald J. Mizejewski, Simon C. Watkins, Lisa H. Butterfield	23
8	CD20-Targeted T Cells after Stem Cell Transplantation for High Risk and Refractory Non-Hodgkin's Lymphoma 2013 ·Biology of Blood and Marrow Transplantation ·Lawrence G. Lum, Archana Thakur, Qin Liu, Abhinav Deol, Zaid Al‐Kadhimi, Lois Ayash, Muneer H. Abidi, (unknown), (unknown), (unknown), Dana L. Schalk, Hiroshi Yano, Alice Mitchell, (unknown), Joseph P. Uberti, Voravit Ratanatharathorn	32
9	Microenvironment generated during EGFR targeted killing of pancreatic tumor cells by ATC inhibits myeloid-derived suppressor cells through COX2 and PGE2 dependent pathway 2013 ·Journal of Translational Medicine ·Archana Thakur, Dana L. Schalk, (unknown), Sri Vidya Kondadasula, Hiroshi Yano, Fazlul H. Sarkar, Lawrence G. Lum	31
10	Blonanserin in the treatment of delirium 2011 ·Psychiatry and Clinical Neurosciences ·Koji Kato, (unknown), (unknown), (unknown), (unknown), (unknown), Hiroshi Yano, Atsushi Ichimura, Hideo Matsumoto	10
11	Effects of MK-801 on the expression of serine racemase and d-amino acid oxidase mRNAs and on the d-serine levels in rat brain 2006 ·European Journal of Pharmacology ·Atsushi Hashimoto, Masanobu Yoshikawa, (unknown), Hiroshi Yano, Hideo Matsumoto, Mitsuru Kawaguchi, Tetsuo Oka, Hiroyuki Kobayashi	17
12	Effect of Genetic Variants of the Human Flavin-Containing Monooxygenase 3 on N- and S-Oxygenation Activities 2006 ·Drug Metabolism and Disposition ·Makiko Shimizu, Hiroshi Yano, (unknown), Norie Murayama, Jun Zhang, John R. Cashman, Hiroshi Yamazaki	50
13	Characterization of low-molecular-weight glutenin subunit genes and their protein products in common wheats 2005 ·Theoretical and Applied Genetics ·Tatsuya M. Ikeda, Etsuko Araki, Yumiko Fujita, Hiroshi Yano	66
14	Glucose concentration-dependent potentiation of insulin secretion by a new chemical entity, KCP256 2005 ·European Journal of Pharmacology ·Kiyotoshi Mori, (unknown), Yoshimitsu Katoh, Hiroshi Yano, (unknown), (unknown), Hideaki Kusaka, Yuji Nomoto, Katsuya Higo, Satoshi Nakanishi	1
15	Inhibition of Lymphocyte Kinase Lck and Phosphatidylinositol 3-kinase by a Novel Immunosuppressant, Lymphostin 2002 ·Bioscience Biotechnology and Biochemistry ·Hiroyuki Nagata, Hiroshi Yano, (unknown), Soichiro Sato, Satoshi Nakanishi, ISAMI TAKAHASHI, Tatsuya Tamaoki	13
16	Identification of DNA Polymorphism Induced by X-Ray and UV Irradiation in Plant Cells 1999 ·Japan Agricultural Research Quarterly JARQ ·S. Kuroda, Hiroshi Yano, (unknown), Yutaka Tabei, Fumio Takaiwa, Toshiaki Kayano, Hiroshi Tanaka	15
17	MS-681a, b, c and d, New Inhibitors of Myosin Light Chain Kinase from Myrothecium sp. KY6568. I. Characterization of Producing Strain and Production, Isolation and Biological Activities. 1997 ·The Journal of Antibiotics ·Hiroshi Yano, Satoshi Nakanishi, (unknown), Katsuhiko Ando, Mayumi Yoshida, Yutaka Saitoh, Yuzuru Matsuda	12
18	MS-444, a New Inhibitor of Myosin Light Chain Kinase from Micromonospora sp. KY7123. 1995 ·The Journal of Antibiotics ·Satoshi Nakanishi, Shigeru Chiba, Hiroshi Yano, Isao Kawamoto, Yuzuru Matsuda	19
19	Cardioplegic effect of University of Wisconsin solution on hypothermic ischemia of rat myocardium assessed by mitochondrial oxidative phosphorylation 1993 ·Journal of Thoracic and Cardiovascular Surgery ·Hiroshi Yano, Hitoshi Takenaka, Toshio Onitsuka, Yasunori Koga, Minoru HAMADA	11
20	Substance P-induced augmentation of cutaneous vascular permeability and granulocyte infiltration in mice is mast cell dependent. 1989 ·Journal of Clinical Investigation ·Hiroshi Yano, Barry K. Wershil, Naoki Arizono, Stephen J. Galli	160

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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