S. G. Rosen

26 total papers · 764 total citations
21 papers, 580 citations indexed

About

S. G. Rosen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, S. G. Rosen has authored 21 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Physiology. Recurrent topics in S. G. Rosen's work include Receptor Mechanisms and Signaling (6 papers), Cardiovascular Syncope and Autonomic Disorders (5 papers) and Neuropeptides and Animal Physiology (3 papers). S. G. Rosen is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Cardiovascular Syncope and Autonomic Disorders (5 papers) and Neuropeptides and Animal Physiology (3 papers). S. G. Rosen collaborates with scholars based in United States and Vietnam. S. G. Rosen's co-authors include Philip E. Cryer, Jeffrey B. Halter, Linda Morrow, Óscar Linares, Mark A. Supiano, William E. Clutter, S D Shah, Ricardo V. Lloyd, Jeffrey Sanfield and D.E. Schteingart and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

S. G. Rosen

21 papers receiving 553 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
S. G. Rosen	216	183	163	121	66	21	580
Lisa L. Ji	188 0.9×	103 0.6×	84 0.5×	170 1.4×	108 1.6×	16	649
Ν. Katsilambros	276 1.3×	99 0.5×	129 0.8×	178 1.5×	71 1.1×	27	656
O. Brandsborg	134 0.6×	289 1.6×	101 0.6×	133 1.1×	74 1.1×	48	669
M. Lindqvist	188 0.9×	109 0.6×	56 0.3×	78 0.6×	50 0.8×	23	659
Grace Davis‐Gorman	158 0.7×	93 0.5×	118 0.7×	86 0.7×	88 1.3×	30	621
Clara Gomez-Sanchez	113 0.5×	179 1.0×	208 1.3×	121 1.0×	96 1.5×	29	656
Stephen C. Berens	124 0.6×	121 0.7×	143 0.9×	59 0.5×	124 1.9×	12	573
H Matsuguchi	220 1.0×	87 0.5×	99 0.6×	97 0.8×	72 1.1×	18	636
Kazuo Shindo	121 0.6×	116 0.6×	56 0.3×	226 1.9×	40 0.6×	17	621
Takuya Kanehisa	238 1.1×	137 0.7×	116 0.7×	59 0.5×	60 0.9×	32	550

Countries citing papers authored by S. G. Rosen

Since Specialization

Citations

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

Fields of papers citing papers by S. G. Rosen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. G. Rosen. 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 S. G. Rosen. The network helps show where S. G. Rosen may publish in the future.

Co-authorship network of co-authors of S. G. Rosen

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

All Works

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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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