Nengyu Yang

749 citations
16 papers · 660 indexed · h-index 9
Topics
Receptor Mechanisms and Signaling (9 papers)Pharmacological Effects and Assays (5 papers)Nitric Oxide and Endothelin Effects (4 papers)
Partner nations
United States

In The Last Decade

Nengyu Yang

11 papers receiving 635 citations

Peers

Nengyu Yang
Comparison fields: 5 of 71
  • Molecular Biology 408
  • Genetics 202
  • Cellular and Molecular Neuroscience 179
  • Physiology 157
  • Cardiology and Cardiovascular Medicine 76
Replace Pedro Muniesa with:
Pedro Muniesa Spain
María José Peral Rubio Spain
Y F Su United States
Isabelle Guillet-Deniau France
Brigitte Bois-Joyeux France
Baxter Jeffs United Kingdom
Edward J. Kilbourne United States
Margaret Chui Ling Tse Hong Kong
Céline Chambon France
Antonia Sassmann Germany
Nengyu Yang relative to Pedro Muniesa Spain Pedro Muniesa's profile →
Citations per field
00.5×1.5×2.4×
Pedro Muniesa · 1×
Citations per year

Countries citing papers authored by Nengyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Nengyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nengyu Yang

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3 7
4 0
5
Expression of alpha-adrenoceptor subtypes by smooth muscle cells and adventitial fibroblasts in rat aorta and in cell culture.
83
6 45
7 10
8 8
9 1
10 1
11 101
12 33
13 63
14 178
15 117
16 13

About Nengyu Yang

Nengyu Yang is a scholar working on Biochemistry, Animal Science and Zoology and Physiology, having authored 16 papers that have together received 660 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Pharmacological Effects and Assays (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (179 citations), Genetics (202 citations) and Physiology (157 citations). Nengyu Yang has collaborated with scholars based in United States. Frequent co-authors include James E. Faber, Xiaohua Xin, Andrea D. Eckhart, Christina T. Teng, Hiroyuki Shigeta, Huiping Shi, Liqian Chen, Gregory R. OBrian, Youhua Liu and Shuli Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

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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