Li Niu

64 total papers · 3.2k total citations
42 papers, 2.2k citations indexed

About

Li Niu is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Li Niu has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Surgery and 6 papers in Oncology. Recurrent topics in Li Niu's work include Mitochondrial Function and Pathology (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Li Niu is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Li Niu collaborates with scholars based in China and United States. Li Niu's co-authors include Sufang Tian, Shu‐Yuan Xiao, Weidong Hu, Huan Liu, Haibo Xu, Yong Xiong, Huan Liu, Jianchun Guo, Meiyan Liao and Zhi Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal Of Pathology and Anesthesiology.

In The Last Decade

Li Niu

41 papers receiving 2.1k citations

Hit Papers

Pulmonary Pathology of Ea... 2020 2026 2022 2024 2020 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Li Niu 1.2k 669 334 321 264 42 2.2k
Sufang Tian 1.3k 1.0× 633 0.9× 356 1.1× 377 1.2× 226 0.9× 41 2.0k
Qinyong Hu 1.6k 1.3× 842 1.3× 496 1.5× 278 0.9× 288 1.1× 35 2.5k
Weiliang Tang 1.1k 0.9× 536 0.8× 507 1.5× 303 0.9× 261 1.0× 33 2.4k
Yingzhen Du 1.5k 1.2× 815 1.2× 353 1.1× 239 0.7× 273 1.0× 25 2.3k
Fang Peng 1.1k 0.9× 544 0.8× 494 1.5× 410 1.3× 376 1.4× 84 2.5k
Guangming Ye 1.9k 1.5× 439 0.7× 364 1.1× 295 0.9× 385 1.5× 41 2.9k
Meifang Wang 951 0.8× 571 0.9× 383 1.1× 410 1.3× 496 1.9× 76 2.4k
Ke Wang 1.4k 1.2× 679 1.0× 428 1.3× 226 0.7× 228 0.9× 30 2.2k
Hangyuan Guo 973 0.8× 522 0.8× 380 1.1× 205 0.6× 277 1.0× 33 2.2k
Richard S. Vander Heide 1.1k 0.9× 614 0.9× 361 1.1× 190 0.6× 616 2.3× 47 2.8k

Countries citing papers authored by Li Niu

Since Specialization
Citations

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

Fields of papers citing papers by Li Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Niu

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