J Saye

3.0k total citations · 1 hit paper
16 papers, 2.6k citations indexed

About

J Saye is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, J Saye has authored 16 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in J Saye's work include Nitric Oxide and Endothelin Effects (3 papers), Renin-Angiotensin System Studies (3 papers) and Stress Responses and Cortisol (2 papers). J Saye is often cited by papers focused on Nitric Oxide and Endothelin Effects (3 papers), Renin-Angiotensin System Studies (3 papers) and Stress Responses and Cortisol (2 papers). J Saye collaborates with scholars based in United States. J Saye's co-authors include Andrew T. Chiu, William F. Herblin, Pancras C. Wong, Ruth R. Wexler, Pamela A. Benfield, Roger Smith, P.B.M.W.M. Timmermans, David J. Carini, M J Peach and Harold A. Singer and has published in prestigious journals such as Journal of Clinical Investigation, Pharmacological Reviews and Hypertension.

In The Last Decade

J Saye

16 papers receiving 2.5k citations

Hit 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.

Angiotensin II receptors and angiotensin II receptor antagonists.

1993 1.6k citations P.B.M.W.M. Timmermans, Pancras C. Wong et al. Pharmacological Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J Saye United States	14	1.6k	1.1k	797	483	325	16	2.6k
Randy L. Webb United States	29	1.8k 1.1×	1.1k 1.0×	1.1k 1.3×	583 1.2×	240 0.7×	78	3.4k
M. C. Khosla United States	31	2.1k 1.3×	1.5k 1.3×	961 1.2×	239 0.5×	476 1.5×	84	3.1k
Atsuo Goto Japan	35	964 0.6×	1.8k 1.6×	741 0.9×	760 1.6×	402 1.2×	124	4.2k
Frédéric Cumin Switzerland	25	905 0.6×	857 0.7×	588 0.7×	367 0.8×	221 0.7×	55	2.2k
Edward H. Blaine United States	27	1.3k 0.8×	913 0.8×	398 0.5×	210 0.4×	275 0.8×	75	2.3k
Michael J. Antonaccio United States	28	1.1k 0.7×	1.0k 0.9×	284 0.4×	431 0.9×	573 1.8×	96	2.4k
N. C. Trippodo United States	27	1.3k 0.8×	595 0.5×	343 0.4×	410 0.8×	217 0.7×	58	2.2k
Philip A. Khairallah United States	25	1.0k 0.6×	1.0k 0.9×	379 0.5×	320 0.7×	400 1.2×	75	2.4k
Edmund J. Sybertz United States	29	916 0.6×	884 0.8×	387 0.5×	845 1.7×	304 0.9×	93	3.4k
Thomas Giller Switzerland	18	1.7k 1.1×	1.5k 1.3×	1.5k 1.8×	187 0.4×	157 0.5×	27	3.4k

Countries citing papers authored by J Saye

Since Specialization

Citations

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

Fields of papers citing papers by J Saye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Saye

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Gilligan, Paul J., Anthony J. Cocuzza, Dennis R. Chidester, et al.. (2000). The discovery of 4-(3-pentylamino)-2,7-dimethyl-8-(2-methyl-4-methoxyphenyl)-pyrazolo-[1,5-a]-pyrimidine: A corticotropin-releasing factor (hCRF1) antagonist. Bioorganic & Medicinal Chemistry. 8(1). 181–189. 77 indexed citations

Mukherjee, Ranjan, J Saye, & Peter R. Young. (2000). Nuclear receptors in metabolic diseases. 4(3). 377–396. 4 indexed citations

He, Liqi, Paul J. Gilligan, Robert Zaczek, et al.. (2000). 4-(1,3-Dimethoxyprop-2-ylamino)-2,7-dimethyl-8-(2,4-dichlorophenyl)pyrazolo[1,5-a]-1,3,5-triazine: A Potent, Orally Bioavailable CRF₁ Receptor Antagonist. Journal of Medicinal Chemistry. 43(3). 449–456. 94 indexed citations

Corbett, Jeffrey W., Soo S. Ko, James D. Rodgers, et al.. (1999). Expanded-Spectrum Nonnucleoside Reverse Transcriptase Inhibitors Inhibit Clinically Relevant Mutant Variants of Human Immunodeficiency Virus Type 1. Antimicrobial Agents and Chemotherapy. 43(12). 2893–2897. 99 indexed citations

Zaczek, Robert, Robert J. Chorvat, J Saye, et al.. (1998). Two New Potent Neurotransmitter Release Enhancers, 10,10-Bis(4-Pyridinylmethyl)-9(10H)-Anthracenone and 10,10-Bis(2-Fluoro-4-Pyridinylmethyl)-9(10H)-Anthracenone: Comparison to Linopirdine. Journal of Pharmacology and Experimental Therapeutics. 285(2). 724–730. 115 indexed citations

Saye, J, N. Virginia Ragsdale, Robert M. Carey, & M J Peach. (1993). Localization of angiotensin peptide-forming enzymes of 3T3-F442A adipocytes. American Journal of Physiology-Cell Physiology. 264(6). C1570–C1576. 56 indexed citations

Timmermans, P.B.M.W.M., Pancras C. Wong, Andrew T. Chiu, et al.. (1993). Angiotensin II receptors and angiotensin II receptor antagonists.. Pharmacological Reviews. 45(2). 205–251. 1612 indexed citations breakdown →

Holycross, Bethany J., J Saye, Jeffrey K. Harrison, & M J Peach. (1992). Polymerase chain reaction analysis of renin in rat aortic smooth muscle.. Hypertension. 19(6_pt_2). 697–701. 13 indexed citations

Saye, J, Kevin R. Lynch, & M J Peach. (1990). Changes in angiotensinogen messenger RNA in differentiating 3T3-F442A adipocytes.. Hypertension. 15(6_pt_2). 867–871. 35 indexed citations

10.

Saye, J, Lisa A. Cassis, Thomas W. Sturgill, Kevin R. Lynch, & M J Peach. (1989). Angiotensinogen gene expression in 3T3-L1 cells. American Journal of Physiology-Cell Physiology. 256(2). C448–C451. 83 indexed citations

11.

Milner, Peter G., Nicholas J. Izzo, J Saye, et al.. (1988). Endothelium-dependent relaxation is independent of arachidonic acid release.. Journal of Clinical Investigation. 81(6). 1795–1803. 7 indexed citations

12.

Cassis, Lisa A., J Saye, & M J Peach. (1988). Location and regulation of rat angiotensinogen messenger RNA.. Hypertension. 11(6_pt_2). 591–596. 152 indexed citations

13.

Johns, D W, Robert M. Carey, R. Ariel Gómez, et al.. (1987). Isolation of renin-rich rat kidney cells.. Hypertension. 10(5). 488–496. 26 indexed citations

14.

Peach, M J, Alex L. Loeb, Harold A. Singer, & J Saye. (1985). Endothelium-derived vascular relaxing factor.. Hypertension. 7(3_pt_2). I94–100. 99 indexed citations

15.

Saye, J, Harold A. Singer, & M J Peach. (1984). Role of endothelium in conversion of angiotensin I to angiotensin II in rabbit aorta.. Hypertension. 6(2_pt_1). 216–221. 67 indexed citations

16.

Singer, Harold A., et al.. (1984). Effects of Cytochrome P-450 Inhibitors on Endothelium-Dependent Relaxation in Rabbit Aorta. Journal of Vascular Research. 21(5). 223–230. 64 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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