Hiroyuki Murabe

440 total citations
33 papers, 315 citations indexed

About

Hiroyuki Murabe is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Hiroyuki Murabe has authored 33 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Molecular Biology. Recurrent topics in Hiroyuki Murabe's work include Pituitary Gland Disorders and Treatments (14 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Vasculitis and related conditions (5 papers). Hiroyuki Murabe is often cited by papers focused on Pituitary Gland Disorders and Treatments (14 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Vasculitis and related conditions (5 papers). Hiroyuki Murabe collaborates with scholars based in Japan and United States. Hiroyuki Murabe's co-authors include Akira Shimatsu, Haruo Mizuta, Kazuwa Nakao, Toshihiko Yokota, Yoshio Nakamura, Keisuke Nishimura, Akira Kubota, Takashi Akamizu, H Kikuchi and Kazuwa Nakao and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and Annals of the Rheumatic Diseases.

In The Last Decade

Hiroyuki Murabe

30 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroyuki Murabe Japan 11 148 69 68 58 56 33 315
G. Viennet France 11 105 0.7× 42 0.6× 90 1.3× 136 2.3× 96 1.7× 45 451
Chun Jiang Yu China 7 72 0.5× 75 1.1× 75 1.1× 42 0.7× 83 1.5× 8 387
Seung-Ho Yang South Korea 14 154 1.0× 67 1.0× 111 1.6× 105 1.8× 62 1.1× 45 518
Kei Yamashiro Japan 11 135 0.9× 54 0.8× 23 0.3× 53 0.9× 39 0.7× 40 341
Ryszard Czepko Poland 11 128 0.9× 77 1.1× 117 1.7× 54 0.9× 94 1.7× 51 446
Grace C.H. Yang United States 13 80 0.5× 97 1.4× 152 2.2× 141 2.4× 81 1.4× 18 487
Yu‐Shu Yen Taiwan 10 46 0.3× 37 0.5× 74 1.1× 42 0.7× 112 2.0× 26 310
Yui Yamashita Japan 9 79 0.5× 45 0.7× 34 0.5× 67 1.2× 79 1.4× 16 328
B Önol Türkiye 12 57 0.4× 28 0.4× 98 1.4× 38 0.7× 94 1.7× 28 333
Hélène Trouette France 9 67 0.5× 14 0.2× 130 1.9× 52 0.9× 45 0.8× 18 309

Countries citing papers authored by Hiroyuki Murabe

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Murabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyuki Murabe

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Murabe. A scholar is included among the top collaborators of Hiroyuki Murabe 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 Hiroyuki Murabe. Hiroyuki Murabe 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.
Sugawara, H., Emi Yamaguchi, Yo Kobayashi, et al.. (2024). AB1310 POOR PROGNOSTIC FACTORS OF TAKAYASU ARTERITIS, CEREBRAL INFARCTION, CORONARY ARTERY LESIONS, OR AORTIC REGURGITATION ARE ASSOCIATED WITH MORTALITY. Annals of the Rheumatic Diseases. 83. 2002–2003.
2.
Yoshida, Tomohiro, et al.. (2022). Dapsone-induced methaemoglobinaemia in relapsing polychondritis. BMJ Case Reports. 15(9). e252431–e252431. 4 indexed citations
3.
Yoshida, Tomohiro, et al.. (2022). Clinical Images: Giant mass on the forehead in Kimura disease. ACR Open Rheumatology. 4(7). 557–557.
4.
Nishimura, Keisuke, et al.. (2021). Age-related Epstein-Barr Virus-associated Lymphoproliferative Disorder Masquerading as Systemic Lupus Erythematosus. Internal Medicine. 60(15). 2495–2497. 1 indexed citations
5.
Nishimura, Keisuke, Tsutomu Okada, Takao Kumazawa, et al.. (2021). Black-blood magnetic resonance imaging suggesting central nervous system vasculitis in moyamoya syndrome associated with systemic lupus erythematosus. Immunological Medicine. 44(4). 270–273. 2 indexed citations
6.
Tanaka, Nozomi, et al.. (2021). Annual variation rate of KL-6 for predicting acute exacerbation in patients with rheumatoid arthritis-associated interstitial lung disease. Modern Rheumatology. 31(6). 1100–1106. 16 indexed citations
7.
8.
Usui, Takeshi, Masato Kotani, Naohisa Tamura, et al.. (2019). ARMC5 Alterations in Primary Macronodular Adrenal Hyperplasia (PMAH) and the Clinical State of Variant Carriers. Journal of the Endocrine Society. 3(10). 1837–1846. 20 indexed citations
9.
Nishimura, Keisuke, et al.. (2019). Efficacy of Plasma Exchange in Anti‐Neutrophil Cytoplasmic Antibody‐Associated Vasculitis. Therapeutic Apheresis and Dialysis. 23(3). 248–252. 3 indexed citations
10.
Izawa, Shoichiro, Hiroyuki Murabe, Norihiko Murakami, et al.. (2007). Increased 18F-Fluorodeoxyglucose Uptake in a Brown Tumor in a Patient with Primary Hyperparathyroidism. The Journal of Clinical Endocrinology & Metabolism. 92(7). 2408–2409. 13 indexed citations
11.
Mukoyama, Masashi, Akira Sugawara, Tetsuya Nagae, et al.. (2001). Role of adrenomedullin and its receptor system in renal pathophysiology. Peptides. 22(11). 1925–1931. 15 indexed citations
12.
Shimatsu, Akira, Hiroyuki Murabe, Yoshio Nakamura, & Takeshi Usui. (2000). Rebound Hypersecretion of GH Following Octreotide Withdrawal due to Liver Dysfunction in an Acromegalic Patient.. Endocrine Journal. 47(5). 635–638. 4 indexed citations
13.
Nakamura, Yoshio, Takeshi Usui, Haruo Mizuta, et al.. (1999). Characterization ofProphet of Pit-1Gene Expression in Normal Pituitary and Pituitary Adenomas in Humans1. The Journal of Clinical Endocrinology & Metabolism. 84(4). 1414–1419. 24 indexed citations
14.
Nakamura, Yoshio, et al.. (1998). Calcitonin gene-related peptide as a GH secretagogue in human and rat pituitary somatotrophs. Brain Research. 807(1-2). 203–207. 14 indexed citations
15.
Shimatsu, Akira, et al.. (1996). Growth hormone-secreting pituitary adenoma associated with multiple bone cysts, skin pigmentation and aortitis syndrome. Journal of Endocrinological Investigation. 19(11). 753–757. 9 indexed citations
16.
Murabe, Hiroyuki, Akira Shimatsu, Haruo Mizuta, et al.. (1996). Expression of Somatostatin Receptor (SSTR) Subtypes in Pituitary Adenomas: Quantitative Analysis of SSTR2 mRNA by Reverse Transcription-Polymerase Chain Reaction. Journal of Neuroendocrinology. 8(8). 605–610. 10 indexed citations
17.
Shimatsu, Akira, et al.. (1996). Decreased neurotrophin-3 expression in skeletal muscles of streptozotocin-induced diabetic rats. Neuropeptides. 30(4). 309–312. 25 indexed citations
18.
19.
20.
Shimatsu, Akira, et al.. (1990). Secretory Dynamics of Growth Hormone in an Acromegalic Patient Associated with Graves' Disease*. The Journal of Clinical Endocrinology & Metabolism. 71(4). 1059–1063. 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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