Junli Liu

60 total papers · 874 total citations
31 papers, 590 citations indexed

About

Junli Liu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Junli Liu has authored 31 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Junli Liu's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Gastrointestinal Tumor Research and Treatment (3 papers). Junli Liu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Gastrointestinal Tumor Research and Treatment (3 papers). Junli Liu collaborates with scholars based in China, United States and Japan. Junli Liu's co-authors include Dai‐Shi Tian, Chuan Qin, Wensheng Qu, Minjie Xie, Long‐Jun Wu, Madhuvika Murugan, Yan Zhan, Zhiyuan Yu, Chunyu Li and Gang Wu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Brain Research.

In The Last Decade

Junli Liu

27 papers receiving 583 citations

Author Peers

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

Author						Papers	Cites
Junli Liu	201	172	108	94	78	31	590
Li Du	193 1.0×	188 1.1×	105 1.0×	48 0.5×	145 1.9×	31	585
Nuri Kim	323 1.6×	108 0.6×	45 0.4×	89 0.9×	73 0.9×	24	603
Cun‐Jin Zhang	251 1.2×	134 0.8×	71 0.7×	39 0.4×	142 1.8×	35	580
Wanfu Wu	194 1.0×	75 0.4×	43 0.4×	132 1.4×	80 1.0×	27	638
Weibin Lin	228 1.1×	91 0.5×	82 0.8×	38 0.4×	56 0.7×	24	549
Karin J. Stebbins	241 1.2×	116 0.7×	112 1.0×	45 0.5×	122 1.6×	24	655
Shaista Hayat	271 1.3×	172 1.0×	50 0.5×	84 0.9×	62 0.8×	15	590
Xin Hu	256 1.3×	135 0.8×	54 0.5×	45 0.5×	41 0.5×	42	698
Yonglin Zhao	199 1.0×	120 0.7×	31 0.3×	48 0.5×	53 0.7×	37	518
Wu Jiang	378 1.9×	91 0.5×	206 1.9×	57 0.6×	77 1.0×	25	665

Countries citing papers authored by Junli Liu

Since Specialization

Citations

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

Fields of papers citing papers by Junli Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junli Liu

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