Nengyu Yang

18 total papers · 749 total citations
16 papers, 658 citations indexed

About

Nengyu Yang is a scholar working on Molecular Biology, Physiology and Animal Science and Zoology. According to data from OpenAlex, Nengyu Yang has authored 16 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Animal Science and Zoology. Recurrent topics in Nengyu Yang's work include Receptor Mechanisms and Signaling (9 papers), Pharmacological Effects and Assays (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). Nengyu Yang is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Pharmacological Effects and Assays (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). Nengyu Yang collaborates with scholars based in United States. Nengyu Yang's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Nengyu Yang

11 papers receiving 633 citations

Author Peers

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

Author						Papers	Cites
Nengyu Yang	406	202	177	155	76	16	658
Naomi Murai	304 0.7×	159 0.8×	218 1.2×	56 0.4×	41 0.5×	11	761
R.L.G. Sheldrick	289 0.7×	83 0.4×	231 1.3×	279 1.8×	43 0.6×	17	772
I. Jean Macintyre	192 0.5×	67 0.3×	64 0.4×	174 1.1×	31 0.4×	12	575
Susanna Baqué	491 1.2×	126 0.6×	88 0.5×	150 1.0×	111 1.5×	16	784
Cristián Ibarra	401 1.0×	101 0.5×	62 0.4×	91 0.6×	198 2.6×	21	772
Olga Stephansson	331 0.8×	223 1.1×	97 0.5×	128 0.8×	20 0.3×	13	763
JulieH. Chamley	313 0.8×	35 0.2×	115 0.6×	97 0.6×	102 1.3×	11	600
Nitzan Levy	243 0.6×	179 0.9×	50 0.3×	138 0.9×	47 0.6×	18	713
Vikas V. Surve	202 0.5×	90 0.4×	63 0.4×	147 0.9×	33 0.4×	16	611
Edward J. Kilbourne	232 0.6×	121 0.6×	165 0.9×	53 0.3×	55 0.7×	23	594

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

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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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