Guili Lian

62 total papers · 843 total citations
37 papers, 557 citations indexed

About

Guili Lian is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Guili Lian has authored 37 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 16 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Guili Lian's work include Pulmonary Hypertension Research and Treatments (17 papers), MicroRNA in disease regulation (6 papers) and Cardiovascular Function and Risk Factors (4 papers). Guili Lian is often cited by papers focused on Pulmonary Hypertension Research and Treatments (17 papers), MicroRNA in disease regulation (6 papers) and Cardiovascular Function and Risk Factors (4 papers). Guili Lian collaborates with scholars based in China and United States. Guili Lian's co-authors include Liangdi Xie, Li Luo, Huajun Wang, Tingjun Wang, Changsheng Xu, Jin Gong, Ai Chen, Zhenyu Lin, Fang Luo and Guoyan Xu and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Guili Lian

34 papers receiving 554 citations

Author Peers

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

Author						Papers	Cites
Guili Lian	273	184	128	95	55	37	557
Natthaphat Siri‐Angkul	309 1.1×	122 0.7×	189 1.5×	70 0.7×	70 1.3×	30	665
Bowen Li	223 0.8×	137 0.7×	80 0.6×	120 1.3×	28 0.5×	47	552
Guoxing Li	204 0.7×	112 0.6×	136 1.1×	56 0.6×	24 0.4×	36	613
Rui Zhou	223 0.8×	181 1.0×	59 0.5×	130 1.4×	23 0.4×	37	539
Xiang Xie	306 1.1×	77 0.4×	95 0.7×	92 1.0×	22 0.4×	38	611
Hirotaka Yamamoto	199 0.7×	179 1.0×	133 1.0×	80 0.8×	16 0.3×	49	658
Hidenori Moriyama	284 1.0×	170 0.9×	258 2.0×	90 0.9×	26 0.5×	36	660
Christian Freise	198 0.7×	61 0.3×	57 0.4×	88 0.9×	45 0.8×	34	615
Jian Yang	223 0.8×	108 0.6×	185 1.4×	67 0.7×	18 0.3×	53	666
Jun Guo	211 0.8×	89 0.5×	83 0.6×	59 0.6×	16 0.3×	51	569

Countries citing papers authored by Guili Lian

Since Specialization

Citations

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

Fields of papers citing papers by Guili Lian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guili Lian

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