J Higaki

913 total citations
19 papers, 789 citations indexed

About

J Higaki is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, J Higaki has authored 19 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 9 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Molecular Biology. Recurrent topics in J Higaki's work include Renin-Angiotensin System Studies (9 papers), Hormonal Regulation and Hypertension (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). J Higaki is often cited by papers focused on Renin-Angiotensin System Studies (9 papers), Hormonal Regulation and Hypertension (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). J Higaki collaborates with scholars based in Japan, Australia and United States. J Higaki's co-authors include Toshio Ogihara, Hiromi Rakugi, Atsunori Okamura, Takehide Ogihara, Shin Takiuchi, Kaeko Iiyama, Tomohiro Katsuya, Masahiro Nagano, Koichi Moriguchi and Paul Fennessy and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Hypertension and Thorax.

In The Last Decade

J Higaki

19 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Higaki Japan 13 501 309 163 129 103 19 789
Yuji Tatara Japan 15 604 1.2× 260 0.8× 170 1.0× 94 0.7× 115 1.1× 23 983
Machiko Yabana Japan 18 549 1.1× 362 1.2× 314 1.9× 157 1.2× 59 0.6× 46 883
Duncan J. Campbell Australia 12 599 1.2× 385 1.2× 337 2.1× 92 0.7× 111 1.1× 16 950
Masayoshi Yoshii Japan 17 337 0.7× 192 0.6× 226 1.4× 85 0.7× 129 1.3× 30 764
Akinobu Maeda Japan 18 436 0.9× 231 0.7× 186 1.1× 108 0.8× 109 1.1× 36 758
E. Mularoni Italy 19 474 0.9× 467 1.5× 152 0.9× 302 2.3× 104 1.0× 51 1.2k
Malte Ludwig Germany 17 344 0.7× 166 0.5× 104 0.6× 109 0.8× 150 1.5× 42 802
Yung‐Zu Tseng Taiwan 16 435 0.9× 137 0.4× 142 0.9× 74 0.6× 101 1.0× 57 692
Inger Sihm Denmark 12 363 0.7× 164 0.5× 86 0.5× 148 1.1× 144 1.4× 21 739
Latika Sibal United Kingdom 13 302 0.6× 459 1.5× 172 1.1× 190 1.5× 230 2.2× 17 1.0k

Countries citing papers authored by J Higaki

Since Specialization
Citations

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

Fields of papers citing papers by J Higaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Higaki

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

All Works

19 of 19 papers shown
1.
Komai, Norihiko, Mitsuru Ohishi, Ryuichi Morishita, et al.. (2002). Serum hepatocyte growth factor concentration is correlated with the forearm vasodilator response in hypertensive patients. American Journal of Hypertension. 15(6). 499–506. 29 indexed citations
2.
Kamide, Kei, Hiromi Rakugi, J Higaki, et al.. (2002). The renin-angiotensin and adrenergic nervous system in cardiac hypertrophy in fructose-fed rats. American Journal of Hypertension. 15(1). 66–71. 91 indexed citations
3.
Fu, Yuan, Tomohiro Katsuya, J Higaki, et al.. (2001). A common mutation of low-density lipoprotein receptor gene is associated with essential hypertension among Japanese. Journal of Human Hypertension. 15(2). 125–130. 14 indexed citations
4.
Sato, Noriyuki, Tomohiro Katsuya, Tsutomu Nakagawa, et al.. (2000). Nine polymorphisms of angiotensinogen gene in the susceptibility to essential hypertension. Life Sciences. 68(3). 259–272. 56 indexed citations
5.
Tomita, Naruya, Ryuichi Morishita, Yasufumi Kaneda, J Higaki, & Toshio Ogihara. (2000). Gene therapy as a potential treatment for restenosis and myocardial infarction.. PubMed. 13(4). 206–12. 2 indexed citations
6.
Takami, S., Yohsuke Imai, Tomohiro Katsuya, et al.. (2000). Gene polymorphism of the renin-angiotensin system associates with risk for lacunar infarction: The Ohasama study. American Journal of Hypertension. 13(2). 121–127. 74 indexed citations
7.
ISHIKAWA, Katsunori, Y. Imai, Tomohiro Katsuya, et al.. (2000). Human G-protein  3 subunit variant is associated with serum potassium and total cholesterol levels but not with blood pressure. American Journal of Hypertension. 13(2). 140–145. 61 indexed citations
8.
Okamura, Atsunori, Hiromi Rakugi, Yoshihiro Yanagitani, et al.. (1999). Upregulation of renin-angiotensin system during differentiation of monocytes to macrophages. Journal of Hypertension. 17(4). 537–545. 193 indexed citations
9.
Takemoto, Y., Mitsunori Sakatani, S. Takami, et al.. (1998). Association between angiotensin II receptor gene polymorphism and serum angiotensin converting enzyme (SACE) activity in patients with sarcoidosis. Thorax. 53(6). 459–462. 34 indexed citations
10.
Yo, Y., J Higaki, Nobuaki Nakano, et al.. (1997). Renal Effects of an Angiotensin II Antagonist in Stroke-Prone Spontaneously Hypertensive Rat. Nephron. 76(4). 466–471. 3 indexed citations
11.
Iiyama, Kaeko, Masahiro Nagano, Yoshikage Yo, et al.. (1996). Impaired endothelial function with essential hypertension assessed by ultrasonography. American Heart Journal. 132(4). 779–782. 139 indexed citations
12.
Morishita, Ryuichi, J Higaki, Yoshio Nakamura, et al.. (1995). EFFECT OF AN ANTIHYPERTENSIVE DRUG ON BRAIN ANGIOTENSIN II LEVELS IN RENAL AND SPONTANEOUSLY HYPERTENSIVE RATS. Clinical and Experimental Pharmacology and Physiology. 22(9). 665–669. 22 indexed citations
13.
Rakugi, Hiromi, Koichi Higashimori, Bingfu Jiang, et al.. (1994). Augmentation by Converting Enzyme Inhibition of Accelerated Endothelin Release from Rat Mesenteric Arteries Following Nephrectomy. Biochemical and Biophysical Research Communications. 202(1). 246–251. 6 indexed citations
14.
Nagano, Masahiro, Y. Yo, Kaeko Iiyama, et al.. (1994). Role of glucose intolerance in cardiac diastolic function in essential hypertension.. Hypertension. 23(6_pt_2). 1002–1005. 29 indexed citations
15.
Higashimori, Koichi, J Higaki, Takayuki Miki, et al.. (1992). Analysis of the apolipoprotein B3' hypervariable region in patients with essential hypertension.. PubMed. 20. 21–3. 4 indexed citations
16.
Higaki, J & Takehide Ogihara. (1992). [Renin gene analysis of familial Bartter's syndrome].. PubMed. 50(12). 3106–9. 3 indexed citations
17.
Morishita, Ryuichi, et al.. (1990). Effect of cyclosporin A on aldosterone production by dispersed rabbit adreno-capsular cells. Life Sciences. 46(26). 1985–1989. 2 indexed citations
18.
Higaki, J, et al.. (1985). Calmodulin levels in hypertensive rats. Clinical Science. 68(4). 407–410. 14 indexed citations
19.
Higaki, J, Toshio Ogihara, Nobuyuki Imai, et al.. (1984). A new sensitive direct radioimmunoassay for human plasma renin and its clinical application.. PubMed. 104(6). 947–54. 13 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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