Long Mei

15 total papers · 576 total citations
7 papers, 208 citations indexed

About

Long Mei is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Long Mei has authored 7 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrine and Autonomic Systems, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Social Psychology. Recurrent topics in Long Mei's work include Circadian rhythm and melatonin (5 papers), Neuroendocrine regulation and behavior (3 papers) and Photoreceptor and optogenetics research (3 papers). Long Mei is often cited by papers focused on Circadian rhythm and melatonin (5 papers), Neuroendocrine regulation and behavior (3 papers) and Photoreceptor and optogenetics research (3 papers). Long Mei collaborates with scholars based in United States, China and Switzerland. Long Mei's co-authors include Dayu Lin, Takuya Osakada, Eric Erquan Zhang, Cheng Zhan, David K. Welsh, Xiaohua Lv, Yanyan Fan, Regina M. Sullivan, Luping Yin and Rongzhen Yan and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Long Mei

7 papers receiving 206 citations

Author Peers

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

Author						Papers	Cites
Long Mei	97	88	62	43	37	7	208
Zhuolei Jiao	160 1.6×	81 0.9×	70 1.1×	46 1.1×	32 0.9×	8	236
Mengyu Liu	113 1.2×	53 0.6×	53 0.9×	36 0.8×	23 0.6×	9	200
Patrick B. Chen	84 0.9×	29 0.3×	85 1.4×	64 1.5×	92 2.5×	8	242
Ernani Aloysio Amaral	93 1.0×	24 0.3×	41 0.7×	23 0.5×	51 1.4×	11	247
Talmage L. Peele	50 0.5×	42 0.5×	95 1.5×	100 2.3×	36 1.0×	5	231
Jovana Navarrete	53 0.5×	114 1.3×	53 0.9×	55 1.3×	22 0.6×	8	201
Adarsh Tantry	94 1.0×	47 0.5×	43 0.7×	18 0.4×	70 1.9×	3	203
Valerie Michael	106 1.1×	24 0.3×	40 0.6×	71 1.7×	35 0.9×	8	230
Xiaoyu Tong	87 0.9×	18 0.2×	65 1.0×	102 2.4×	31 0.8×	11	225
Jacob Naparstek	29 0.3×	131 1.5×	40 0.6×	99 2.3×	58 1.6×	6	249

Countries citing papers authored by Long Mei

Since Specialization

Citations

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

Fields of papers citing papers by Long Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Mei

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