Ning Liang

70 total papers · 1.4k total citations
41 papers, 1.0k citations indexed

About

Ning Liang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Ning Liang has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Surgery. Recurrent topics in Ning Liang's work include Osteoarthritis Treatment and Mechanisms (5 papers), Reproductive Biology and Fertility (4 papers) and Renal and related cancers (3 papers). Ning Liang is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (5 papers), Reproductive Biology and Fertility (4 papers) and Renal and related cancers (3 papers). Ning Liang collaborates with scholars based in China, Sweden and Japan. Ning Liang's co-authors include Fei Sun, Jie Lian, Hui Tian, Eckardt Treuter, Xin Li, Chang Yin Liang, Xiansheng Zhang, Yong Wang, Rongrong Fan and Eri Arikawa‐Hirasawa and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Ning Liang

40 papers receiving 987 citations

Author Peers

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

Author Last Decade Papers Cites
Ning Liang 484 264 155 151 137 41 1.0k
Milena Pariali 518 1.1× 162 0.6× 160 1.0× 117 0.8× 99 0.7× 31 1.2k
Laicheng Wang 317 0.7× 87 0.3× 108 0.7× 96 0.6× 67 0.5× 52 1.1k
Linda S. Gutierrez 472 1.0× 249 0.9× 157 1.0× 146 1.0× 66 0.5× 26 1.2k
Yang Luo 821 1.7× 258 1.0× 133 0.9× 261 1.7× 103 0.8× 49 1.2k
Bo Li 481 1.0× 209 0.8× 133 0.9× 83 0.5× 124 0.9× 54 1.0k
Albert Ricken 494 1.0× 70 0.3× 128 0.8× 142 0.9× 174 1.3× 50 1.0k
Saleela M. Ruwanpura 356 0.7× 94 0.4× 262 1.7× 89 0.6× 152 1.1× 29 1.2k
Katarzyna Jarząbek 323 0.7× 105 0.4× 150 1.0× 232 1.5× 116 0.8× 37 809
Efrat Eliyahu 436 0.9× 65 0.2× 198 1.3× 91 0.6× 298 2.2× 36 1.2k
Chao Yang 493 1.0× 185 0.7× 279 1.8× 169 1.1× 160 1.2× 47 973

Countries citing papers authored by Ning Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Liang

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