Y Ihara

1.0k total citations
9 papers, 878 citations indexed

About

Y Ihara is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Y Ihara has authored 9 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Y Ihara's work include Pancreatic function and diabetes (5 papers), Neuroendocrine Tumor Research Advances (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Y Ihara is often cited by papers focused on Pancreatic function and diabetes (5 papers), Neuroendocrine Tumor Research Advances (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Y Ihara collaborates with scholars based in Japan. Y Ihara's co-authors include Yutaka Seino, Yuichiro Yamada, Shinya Toyokuni, H Hiai, Hiroki Ikeda, Hiroyuki Odaka, Kôji Uchida, Toshihiro Tanaka, Susumu Seino and Shinji Kagimoto and has published in prestigious journals such as Diabetes, Biochemical and Biophysical Research Communications and Molecular Endocrinology.

In The Last Decade

Y Ihara

9 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y Ihara Japan 8 368 271 255 239 118 9 878
Akio Shino Japan 17 474 1.3× 270 1.0× 188 0.7× 81 0.3× 132 1.1× 55 1.2k
Zhongmin Alex United States 13 466 1.3× 207 0.8× 165 0.6× 89 0.4× 78 0.7× 14 854
Tomohiko Sasase Japan 20 390 1.1× 194 0.7× 263 1.0× 104 0.4× 66 0.6× 67 1.0k
Nobuhiro Yamada Japan 13 329 0.9× 271 1.0× 149 0.6× 43 0.2× 92 0.8× 21 754
Muriel Bouly France 13 574 1.6× 218 0.8× 117 0.5× 119 0.5× 38 0.3× 20 1.1k
Elsa Rodrigues Portugal 20 572 1.6× 202 0.7× 68 0.3× 81 0.3× 102 0.9× 45 1.1k
R. Dennis Miranda United States 8 539 1.5× 227 0.8× 196 0.8× 140 0.6× 61 0.5× 9 1.2k
S Yim United States 11 852 2.3× 180 0.7× 192 0.8× 493 2.1× 70 0.6× 16 1.4k
Wenying Quan South Korea 14 323 0.9× 363 1.3× 130 0.5× 656 2.7× 72 0.6× 17 1.1k
Paula Vergara Mexico 18 455 1.2× 64 0.2× 83 0.3× 164 0.7× 91 0.8× 41 1.0k

Countries citing papers authored by Y Ihara

Since Specialization
Citations

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

Fields of papers citing papers by Y Ihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Ihara

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

All Works

9 of 9 papers shown
1.
Miki, Takashi, Toshihiko Iwanaga, Kazuaki Nagashima, Y Ihara, & Susumu Seino. (2001). Roles of ATP-sensitive K+ channels in cell survival and differentiation in the endocrine pancreas.. Diabetes. 50(suppl_1). S48–S48. 33 indexed citations
2.
Ban, Nobuhiro, Yoshihiro Yamada, Yoshimichi Someya, et al.. (2000). Activating transcription factor-2 is a positive regulator in CaM kinase IV-induced human insulin gene expression.. Diabetes. 49(7). 1142–1148. 60 indexed citations
3.
Ihara, Y, Shinya Toyokuni, Kôji Uchida, et al.. (1999). Hyperglycemia causes oxidative stress in pancreatic beta-cells of GK rats, a model of type 2 diabetes.. Diabetes. 48(4). 927–932. 432 indexed citations
4.
Ihara, Y, Yuichiro Yamada, Yoichi Fujii, et al.. (1995). Molecular diversity and functional characterization of voltage-dependent calcium channels (CACN4) expressed in pancreatic beta-cells.. Molecular Endocrinology. 9(1). 121–130. 58 indexed citations
5.
Li, Qing, Kazuaki Yasuda, Y Ihara, et al.. (1994). A Cloned Rat CD38-Homologous Protein and Its Expression in Pancreatic Islets. Biochemical and Biophysical Research Communications. 202(1). 629–636. 18 indexed citations
6.
Kagimoto, Shinji, Yuichiro Yamada, Akira Kubota, et al.. (1994). Human Somatostatin Receptor, SSTR2, Is Coupled to Adenylyl Cyclase in the Presence of Giα1 Protein. Biochemical and Biophysical Research Communications. 202(2). 1188–1195. 21 indexed citations
7.
Kubota, Akira, Yasuhiro Yamada, Shinji Kagimoto, et al.. (1994). Multiple Effector Coupling of Somatostatin Receptor Subtype SSTR1. Biochemical and Biophysical Research Communications. 204(1). 176–186. 27 indexed citations
8.
Yamada, Yasuhiro, Shinji Kagimoto, Akira Kubota, et al.. (1993). Cloning, Functional Expression and Pharmacological Characterization of a Fourth (hSSTR4) and a Fifth (hSSTR5) Human Somatostatin Receptor Subtype. Biochemical and Biophysical Research Communications. 195(2). 844–852. 223 indexed citations
9.
Ihara, Y, et al.. (1991). [Relation between cerebral white matter damage on CT and MRI and clinical data in DRPLA (pseudo-Huntington form)].. PubMed. 31(8). 815–20. 6 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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