Ligong Nie

39 total papers · 1.1k total citations
24 papers, 418 citations indexed

About

Ligong Nie is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Ligong Nie has authored 24 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 16 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Ligong Nie's work include Lung Cancer Treatments and Mutations (12 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Lung Cancer Research Studies (5 papers). Ligong Nie is often cited by papers focused on Lung Cancer Treatments and Mutations (12 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Lung Cancer Research Studies (5 papers). Ligong Nie collaborates with scholars based in China, United States and Singapore. Ligong Nie's co-authors include Mengzhao Wang, Jing Zhao, Li Zhang, Wei Zhong, Pei Hu, Yi Xiao, Longyun Li, Minjiang Chen, Yuan Cheng and Yuankai Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ligong Nie

22 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Ligong Nie	270	263	78	63	49	24	418
Nathalie Baize	251 0.9×	229 0.9×	78 1.0×	112 1.8×	45 0.9×	34	436
Birgitta I. Hiddinga	232 0.9×	174 0.7×	80 1.0×	64 1.0×	21 0.4×	37	467
Pauline du Rusquec	160 0.6×	223 0.8×	91 1.2×	66 1.0×	22 0.4×	25	394
Michael Berger	123 0.5×	280 1.1×	82 1.1×	95 1.5×	30 0.6×	26	420
Toshihiko Kaneda	248 0.9×	270 1.0×	119 1.5×	33 0.5×	28 0.6×	33	457
Kang Qin	222 0.8×	165 0.6×	149 1.9×	128 2.0×	33 0.7×	17	389
Marie Viala	96 0.4×	184 0.7×	68 0.9×	116 1.8×	18 0.4×	25	415
Giorgia Guaitoli	161 0.6×	223 0.8×	144 1.8×	120 1.9×	19 0.4×	27	428
Xiao Lin	234 0.9×	297 1.1×	41 0.5×	42 0.7×	22 0.4×	23	428
Xiaoyang Zhai	175 0.6×	298 1.1×	110 1.4×	56 0.9×	12 0.2×	33	438

Countries citing papers authored by Ligong Nie

Since Specialization

Citations

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

Fields of papers citing papers by Ligong Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ligong Nie

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