Ning Zhu

61 total papers · 1.2k total citations
33 papers, 956 citations indexed

About

Ning Zhu is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Ning Zhu has authored 33 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Surgery. Recurrent topics in Ning Zhu's work include Colorectal Cancer Treatments and Studies (3 papers), Cell Adhesion Molecules Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Ning Zhu is often cited by papers focused on Colorectal Cancer Treatments and Studies (3 papers), Cell Adhesion Molecules Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Ning Zhu collaborates with scholars based in China, United Kingdom and United States. Ning Zhu's co-authors include Denny Liggitt, Yong Liu, Robert J. Debs, Jeremy Weedon, Diana Dow-Edwards, H Rigby, D.A.R. Burd, Minoru Takata, David J. Harrison and Eugene Healy and has published in prestigious journals such as Science, Oncogene and British Journal of Cancer.

In The Last Decade

Ning Zhu

30 papers receiving 896 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Ning Zhu	573	305	140	124	67	33	956
Allison M. Keeler	612 1.1×	436 1.4×	119 0.8×	176 1.4×	86 1.3×	31	1.0k
David Onion	471 0.8×	333 1.1×	113 0.8×	182 1.5×	63 0.9×	42	842
Anna Cascante	694 1.2×	338 1.1×	115 0.8×	168 1.4×	83 1.2×	26	1.1k
Victor Chan	632 1.1×	167 0.5×	188 1.3×	225 1.8×	61 0.9×	39	1.2k
Takis Athanasopoulos	802 1.4×	465 1.5×	165 1.2×	103 0.8×	93 1.4×	40	1.2k
Kelly M. Podetz-Pedersen	480 0.8×	322 1.1×	90 0.6×	79 0.6×	107 1.6×	30	804
Aijie Liu	603 1.1×	306 1.0×	200 1.4×	179 1.4×	69 1.0×	33	1.2k
Joseph D. Dekker	639 1.1×	150 0.5×	141 1.0×	110 0.9×	66 1.0×	30	1.1k
Thomas M. Lanigan	416 0.7×	119 0.4×	136 1.0×	160 1.3×	61 0.9×	31	854
Marga Belle White	510 0.9×	190 0.6×	206 1.5×	133 1.1×	65 1.0×	21	1.2k

Countries citing papers authored by Ning Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Ning Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Zhu

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