Liu Huang

84 total papers · 1.3k total citations
67 papers, 946 citations indexed

About

Liu Huang is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Liu Huang has authored 67 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Oncology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Liu Huang's work include Ferroptosis and cancer prognosis (6 papers), Lung Cancer Treatments and Mutations (6 papers) and Colorectal Cancer Treatments and Studies (5 papers). Liu Huang is often cited by papers focused on Ferroptosis and cancer prognosis (6 papers), Lung Cancer Treatments and Mutations (6 papers) and Colorectal Cancer Treatments and Studies (5 papers). Liu Huang collaborates with scholars based in China, United States and Singapore. Liu Huang's co-authors include Fei Liu, Xianglin Yuan, Qingfu Zhu, Jiying Zhu, Xiangyou Wang, Qinsi Yang, Lu Yu, Xiaonan Zhou, Lei Yang and Qi Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Liu Huang

62 papers receiving 936 citations

Author Peers

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

Author						Papers	Cites
Liu Huang	446	200	172	164	120	67	946
Kun Pang	545 1.2×	198 1.0×	188 1.1×	154 0.9×	61 0.5×	57	1.1k
Zhaoyuan Chen	351 0.8×	177 0.9×	93 0.5×	117 0.7×	75 0.6×	57	1.1k
Qin Zhu	299 0.7×	150 0.8×	103 0.6×	88 0.5×	114 0.9×	88	976
Jian Wang	450 1.0×	168 0.8×	165 1.0×	149 0.9×	48 0.4×	62	990
Qian Xu	550 1.2×	140 0.7×	235 1.4×	66 0.4×	40 0.3×	63	1.0k
Ni Zhang	370 0.8×	215 1.1×	188 1.1×	145 0.9×	68 0.6×	64	1.0k
Gregory Miller	317 0.7×	132 0.7×	113 0.7×	179 1.1×	83 0.7×	37	1.1k
Krzysztof Grabowski	306 0.7×	349 1.7×	200 1.2×	124 0.8×	87 0.7×	67	1.0k
Jin Seong Cho	405 0.9×	169 0.8×	129 0.8×	53 0.3×	94 0.8×	76	1.1k
Radek Kučera	278 0.6×	305 1.5×	201 1.2×	266 1.6×	18 0.1×	93	1.0k

Countries citing papers authored by Liu Huang

Since Specialization

Citations

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

Fields of papers citing papers by Liu Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu Huang

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