Wei Zong

46 total papers · 797 total citations
28 papers, 490 citations indexed

About

Wei Zong is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Wei Zong has authored 28 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Endocrine and Autonomic Systems and 5 papers in Molecular Biology. Recurrent topics in Wei Zong's work include Circadian rhythm and melatonin (12 papers), Sleep and Wakefulness Research (7 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Wei Zong is often cited by papers focused on Circadian rhythm and melatonin (12 papers), Sleep and Wakefulness Research (7 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Wei Zong collaborates with scholars based in United States, China and Switzerland. Wei Zong's co-authors include George C. Tseng, Ryan W. Logan, Marianne L. Seney, Colleen A. McClung, Kelly Cahill, David A. Lewis, Xiangning Xue, Zhiguang Huo, Jill R. Glausier and John F. Enwright and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Wei Zong

24 papers receiving 485 citations

Author Peers

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

Author						Papers	Cites
Wei Zong	162	143	99	97	81	28	490
Usha Panjwani	169 1.0×	124 0.9×	69 0.7×	83 0.9×	115 1.4×	28	497
Eleonóra Spekker	65 0.4×	91 0.6×	61 0.6×	105 1.1×	62 0.8×	19	541
Zhao‐Fu Sheng	146 0.9×	86 0.6×	89 0.9×	104 1.1×	57 0.7×	25	502
Leslie R. Amodeo	184 1.1×	51 0.4×	208 2.1×	73 0.8×	39 0.5×	27	458
Salil Saurav Pathak	124 0.8×	93 0.7×	80 0.8×	157 1.6×	73 0.9×	16	421
Bertha Prieto-Gómez	83 0.5×	166 1.2×	200 2.0×	108 1.1×	77 1.0×	27	536
Emanuele Brai	52 0.3×	101 0.7×	97 1.0×	187 1.9×	85 1.0×	18	524
Luca Aquili	224 1.4×	76 0.5×	183 1.8×	96 1.0×	95 1.2×	33	521
Fernando Jáuregui-Huerta	119 0.7×	52 0.4×	95 1.0×	59 0.6×	82 1.0×	23	442
Carl Sikkema	92 0.6×	72 0.5×	163 1.6×	53 0.5×	69 0.9×	18	493

Countries citing papers authored by Wei Zong

Since Specialization

Citations

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

Fields of papers citing papers by Wei Zong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Zong

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