Yaohui Nie

47 total papers · 1.3k total citations
28 papers, 962 citations indexed

About

Yaohui Nie is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Yaohui Nie has authored 28 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Physiology and 6 papers in Epidemiology. Recurrent topics in Yaohui Nie's work include Adipose Tissue and Metabolism (16 papers), Muscle Physiology and Disorders (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Yaohui Nie is often cited by papers focused on Adipose Tissue and Metabolism (16 papers), Muscle Physiology and Disorders (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Yaohui Nie collaborates with scholars based in United States, China and Hong Kong. Yaohui Nie's co-authors include Shihuan Kuang, Chao Wang, Feng Yue, Timothy P. Gavin, Haiyan Xu, Bin Feng, Timothy P. Gavin, Ping Jiao, Yoriko Sato and Thomas Kim and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Yaohui Nie

28 papers receiving 951 citations

Author Peers

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

Author						Papers	Cites
Yaohui Nie	586	341	203	165	95	28	962
Stéphanie Miard	677 1.2×	462 1.4×	230 1.1×	237 1.4×	54 0.6×	25	1.1k
Ekaterina Chernogubova	396 0.7×	357 1.0×	169 0.8×	159 1.0×	75 0.8×	32	921
Jesper Grud Skat Madsen	621 1.1×	410 1.2×	265 1.3×	128 0.8×	98 1.0×	18	1.1k
Dongning Pan	585 1.0×	525 1.5×	357 1.8×	200 1.2×	87 0.9×	31	1.1k
Valerie P. Wright	425 0.7×	361 1.1×	148 0.7×	135 0.8×	140 1.5×	25	1.1k
Yanan Ji	618 1.1×	222 0.7×	134 0.7×	161 1.0×	92 1.0×	54	1.1k
Leigang Jin	529 0.9×	255 0.7×	285 1.4×	64 0.4×	83 0.9×	25	972
Rachel J. Roth Flach	458 0.8×	258 0.8×	218 1.1×	71 0.4×	149 1.6×	29	947
Marcia J. Abbott	555 0.9×	680 2.0×	263 1.3×	93 0.6×	57 0.6×	26	1.2k
Ian S. Patten	519 0.9×	330 1.0×	175 0.9×	91 0.6×	223 2.3×	20	1.1k

Countries citing papers authored by Yaohui Nie

Since Specialization

Citations

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

Fields of papers citing papers by Yaohui Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaohui Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Yaohui Nie. A scholar is included among the top collaborators of Yaohui Nie 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 Yaohui Nie. Yaohui Nie 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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