Yueting Shang

774 total citations
7 papers, 620 citations indexed

About

Yueting Shang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Yueting Shang has authored 7 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Ecology. Recurrent topics in Yueting Shang's work include Nuclear Receptors and Signaling (2 papers), Soil erosion and sediment transport (2 papers) and Hydrology and Watershed Management Studies (2 papers). Yueting Shang is often cited by papers focused on Nuclear Receptors and Signaling (2 papers), Soil erosion and sediment transport (2 papers) and Hydrology and Watershed Management Studies (2 papers). Yueting Shang collaborates with scholars based in United States and China. Yueting Shang's co-authors include Gary K. Owens, Yan Liu, Oliver G. McDonald, Sanjay Sinha, Mark H. Hoofnagle, Tadashi Yoshida, Qiong Gan, Inès Pineda‐Torra, Carlos Fernández‐Hernando and Noemí Rotllán and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Yueting Shang

7 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yueting Shang United States	6	420	135	132	80	59	7	620
Mukesh K. Jain United States	14	417 1.0×	86 0.6×	119 0.9×	99 1.2×	62 1.1×	19	655
Seema Mohamed United States	10	424 1.0×	56 0.4×	114 0.9×	65 0.8×	128 2.2×	15	897
Nakwon Choe South Korea	18	831 2.0×	89 0.7×	251 1.9×	50 0.6×	85 1.4×	30	1.0k
Tibor Schomber Switzerland	10	432 1.0×	115 0.9×	90 0.7×	61 0.8×	38 0.6×	18	816
Marina Vorontchikhina United States	9	733 1.7×	99 0.7×	164 1.2×	83 1.0×	60 1.0×	10	936
Sherryline Jogie‐Brahim United States	8	213 0.5×	121 0.9×	96 0.7×	39 0.5×	58 1.0×	10	563
Anh Nguyen United States	7	279 0.7×	166 1.2×	67 0.5×	47 0.6×	29 0.5×	8	445
Jenny Watson Ireland	12	464 1.1×	70 0.5×	191 1.4×	91 1.1×	64 1.1×	22	708
Enjing Jin Japan	17	409 1.0×	75 0.6×	89 0.7×	63 0.8×	38 0.6×	28	737
Sharada Karanam United Kingdom	6	141 0.3×	161 1.2×	140 1.1×	125 1.6×	35 0.6×	9	486

Countries citing papers authored by Yueting Shang

Since Specialization

Citations

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

Fields of papers citing papers by Yueting Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueting Shang

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

All Works

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7 of 7 papers shown

Shang, Yueting, et al.. (2024). Correlation between flood couplet-based sediment yield and rainfall patterns in a small watershed on the Chinese Loess Plateau. Journal of Hydrology. 637. 131407–131407. 5 indexed citations

Zhang, Jiaqiong, et al.. (2022). Sediment source determination for a series of connected check dams in an agricultural catchment in the Chinese Mollisol region. Journal of Hydrology. 617. 129045–129045. 8 indexed citations

Feig, Jonathan E., Yueting Shang, Noemí Rotllán, et al.. (2011). Statins Promote the Regression of Atherosclerosis via Activation of the CCR7-Dependent Emigration Pathway in Macrophages. PLoS ONE. 6(12). e28534–e28534. 124 indexed citations

Thomas, James A., Rebecca A. Deaton, Nicole E. Hastings, et al.. (2008). PDGF-DD, a novel mediator of smooth muscle cell phenotypic modulation, is upregulated in endothelial cells exposed to atherosclerosis-prone flow patterns. American Journal of Physiology-Heart and Circulatory Physiology. 296(2). H442–H452. 61 indexed citations

Shang, Yueting, Tadashi Yoshida, Brad A. Amendt, James F. Martin, & Gary K. Owens. (2008). Pitx2 is functionally important in the early stages of vascular smooth muscle cell differentiation. The Journal of Cell Biology. 181(3). 461–473. 44 indexed citations

Yoshida, Tadashi, Qiong Gan, Yueting Shang, & Gary K. Owens. (2006). Platelet-derived growth factor-BB represses smooth muscle cell marker genes via changes in binding of MKL factors and histone deacetylases to their promoters. American Journal of Physiology-Cell Physiology. 292(2). C886–C895. 92 indexed citations

Liu, Yan, Sanjay Sinha, Oliver G. McDonald, et al.. (2004). Kruppel-like Factor 4 Abrogates Myocardin-induced Activation of Smooth Muscle Gene Expression. Journal of Biological Chemistry. 280(10). 9719–9727. 286 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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