Maurice E. Fabiani

484 total citations
8 papers, 402 citations indexed

About

Maurice E. Fabiani is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Maurice E. Fabiani has authored 8 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Maurice E. Fabiani's work include Renin-Angiotensin System Studies (7 papers), Receptor Mechanisms and Signaling (5 papers) and Hormonal and reproductive studies (2 papers). Maurice E. Fabiani is often cited by papers focused on Renin-Angiotensin System Studies (7 papers), Receptor Mechanisms and Signaling (5 papers) and Hormonal and reproductive studies (2 papers). Maurice E. Fabiani collaborates with scholars based in Australia. Maurice E. Fabiani's co-authors include Colin I. Johnston, Albert G. Frauman, Diem Dinh, David Casley, Mitsuru Ohishi, Colin I. Johnston, Gino R. Somers, Jia L. Zhuo, David Story and David Hawkes and has published in prestigious journals such as Endocrinology, British Journal of Pharmacology and The Journal of Pathology.

In The Last Decade

Maurice E. Fabiani

8 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maurice E. Fabiani Australia	8	230	172	109	60	41	8	402
Junji Kakuchi Japan	8	415 1.8×	318 1.8×	360 3.3×	57 0.9×	31 0.8×	11	692
Jérémy Brégeon France	8	108 0.5×	52 0.3×	200 1.8×	45 0.8×	61 1.5×	13	415
Dolkun Rahmutula Japan	15	392 1.7×	128 0.7×	179 1.6×	63 1.1×	72 1.8×	22	699
Michael S. LaPointe United States	11	224 1.0×	163 0.9×	257 2.4×	36 0.6×	91 2.2×	14	513
Katie S. Wraith United Kingdom	8	135 0.6×	48 0.3×	138 1.3×	21 0.3×	50 1.2×	10	432
Ulises Novoa Chile	11	249 1.1×	139 0.8×	178 1.6×	21 0.3×	55 1.3×	21	460
Jason M. Tanner United States	9	100 0.4×	35 0.2×	155 1.4×	44 0.7×	139 3.4×	11	451
D. R. South Korea	5	39 0.2×	87 0.5×	205 1.9×	27 0.5×	39 1.0×	8	390
Takehiro Igawa Japan	10	211 0.9×	46 0.3×	142 1.3×	68 1.1×	64 1.6×	20	562

Countries citing papers authored by Maurice E. Fabiani

Since Specialization

Citations

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

Fields of papers citing papers by Maurice E. Fabiani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maurice E. Fabiani. 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 Maurice E. Fabiani. The network helps show where Maurice E. Fabiani may publish in the future.

Co-authorship network of co-authors of Maurice E. Fabiani

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

All Works

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8 of 8 papers shown

Fabiani, Maurice E., David Hawkes, Albert G. Frauman, et al.. (2003). Regulation of angiotensin II receptors in the prostate of the transgenic (mRen-2)27 rat: effect of angiotensin-converting enzyme inhibition. The International Journal of Biochemistry & Cell Biology. 35(6). 973–983. 10 indexed citations

Dinh, Diem, Albert G. Frauman, Gino R. Somers, et al.. (2001). Evidence for activation of the renin–angiotensin system in the human prostate: increased angiotensin II and reduced AT₁ receptor expression in benign prostatic hyperplasia. The Journal of Pathology. 196(2). 213–219. 67 indexed citations

Dinh, Diem, et al.. (2001). Identification, Distribution, and Expression of Angiotensin II Receptors in the Normal Human Prostate and Benign Prostatic Hyperplasia¹. Endocrinology. 142(3). 1349–1356. 53 indexed citations

Frauman, Albert G., Mitsuru Ohishi, Jia L. Zhuo, et al.. (2001). Localization of angiotensin‐converting enzyme in the human prostate: pathological expression in benign prostatic hyperplasia. The Journal of Pathology. 195(5). 571–579. 50 indexed citations

Dinh, Diem, Albert G. Frauman, Colin I. Johnston, & Maurice E. Fabiani. (2001). Angiotensin receptors: distribution, signalling and function. Clinical Science. 100(5). 481–492. 187 indexed citations

Fabiani, Maurice E., et al.. (2000). Comparative in vivo effects of irbesartan and losartan on angiotensin II receptor binding in the rat kidney following oral administration. Clinical Science. 99(4). 331–341. 14 indexed citations

Fabiani, Maurice E. & Colin I. Johnston. (1999). Spectrum of use for the angiotensin-receptor blocking drugs. Current Hypertension Reports. 1(5). 394–401. 13 indexed citations

Fabiani, Maurice E., Diem Dinh, & David Story. (1997). Interaction of the renin–angiotensin system, bradykinin and sympathetic nerves with cholinergic transmission in the rat isolated trachea. British Journal of Pharmacology. 122(6). 1089–1098. 8 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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