Ning Liao

34 total papers · 894 total citations
29 papers, 703 citations indexed

About

Ning Liao is a scholar working on Molecular Biology, Nutrition and Dietetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ning Liao has authored 29 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Nutrition and Dietetics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ning Liao's work include Neuropeptides and Animal Physiology (6 papers), Hypothalamic control of reproductive hormones (5 papers) and Probiotics and Fermented Foods (4 papers). Ning Liao is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Hypothalamic control of reproductive hormones (5 papers) and Probiotics and Fermented Foods (4 papers). Ning Liao collaborates with scholars based in China, Canada and France. Ning Liao's co-authors include Junling Shi, G. Pelletier, Bing Pang, N. Folléa, Chunmei Jiang, Jin Han, Hubert Vaudry, Dongyan Shao, M.V. Govindan and Marc Bulant and has published in prestigious journals such as Biomaterials, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Ning Liao

28 papers receiving 692 citations

Author Peers

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

Author						Papers	Cites
Ning Liao	252	141	122	108	104	29	703
Hanna Antushevich	240 1.0×	97 0.7×	33 0.3×	69 0.6×	63 0.6×	35	724
Jan Zielinski	183 0.7×	67 0.5×	215 1.8×	49 0.5×	117 1.1×	19	797
María Castelló‐Ruiz	346 1.4×	53 0.4×	92 0.8×	106 1.0×	80 0.8×	40	781
Fangjun Lin	158 0.6×	117 0.8×	32 0.3×	118 1.1×	47 0.5×	31	852
Peilin Chen	348 1.4×	151 1.1×	55 0.5×	171 1.6×	43 0.4×	33	894
Yoon-Bok Lee	160 0.6×	45 0.3×	108 0.9×	107 1.0×	72 0.7×	35	666
María E. Martín	395 1.6×	109 0.8×	44 0.4×	70 0.6×	86 0.8×	37	901
Bert J. M. van de Heijning	156 0.6×	45 0.3×	52 0.4×	332 3.1×	81 0.8×	51	847
Elba N. Pereyra	300 1.2×	66 0.5×	46 0.4×	49 0.5×	22 0.2×	24	645
Amal Ahmed Abd El-Fattah	142 0.6×	58 0.4×	97 0.8×	121 1.1×	41 0.4×	19	690

Countries citing papers authored by Ning Liao

Since Specialization

Citations

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

Fields of papers citing papers by Ning Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Liao

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