Hong Cui

34 total papers · 1.0k total citations
19 papers, 619 citations indexed

About

Hong Cui is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Hong Cui has authored 19 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Hong Cui's work include Neuropeptides and Animal Physiology (3 papers), Regulation of Appetite and Obesity (3 papers) and Genomics and Chromatin Dynamics (3 papers). Hong Cui is often cited by papers focused on Neuropeptides and Animal Physiology (3 papers), Regulation of Appetite and Obesity (3 papers) and Genomics and Chromatin Dynamics (3 papers). Hong Cui collaborates with scholars based in United States, Canada and China. Hong Cui's co-authors include Denise D. Belsham, Fang Cai, Robert F. Bulleit, Anne Marie Salapatek, Simon R. Smukler, Lulzim Shkreta, Ying Meng, Makkuni Jayaram, Rui Xiao and Chu-Chun Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Neuroscience.

In The Last Decade

Hong Cui

18 papers receiving 616 citations

Author Peers

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

Author						Papers	Cites
Hong Cui	278	178	125	74	70	19	619
Rodrigo López‐Leal	325 1.2×	93 0.5×	119 1.0×	57 0.8×	44 0.6×	16	519
Viviana F Bumaschny	207 0.7×	172 1.0×	146 1.2×	98 1.3×	90 1.3×	12	570
Tomoyuki Fujiyama	264 0.9×	161 0.9×	97 0.8×	78 1.1×	45 0.6×	19	665
Thomas Pak	222 0.8×	229 1.3×	97 0.8×	106 1.4×	30 0.4×	12	603
Laurence Borgs	305 1.1×	132 0.7×	100 0.8×	43 0.6×	17 0.2×	12	639
Konstantina Chachlaki	148 0.5×	176 1.0×	47 0.4×	71 1.0×	22 0.3×	14	583
Nicole Zsürger	398 1.4×	82 0.5×	364 2.9×	16 0.2×	40 0.6×	17	686
Sandra Fitzpatrick‐McElligott	231 0.8×	111 0.6×	156 1.2×	63 0.9×	8 0.1×	12	499
Valérie Grange‐Messent	135 0.5×	62 0.3×	95 0.8×	55 0.7×	11 0.2×	31	600
Levente Deli	133 0.5×	210 1.2×	112 0.9×	41 0.6×	27 0.4×	14	596

Countries citing papers authored by Hong Cui

Since Specialization

Citations

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

Fields of papers citing papers by Hong Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Cui

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