Zhong Wu

15 total papers · 866 total citations
8 papers, 594 citations indexed

About

Zhong Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Zhong Wu has authored 8 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Zhong Wu's work include PI3K/AKT/mTOR signaling in cancer (2 papers), Heat shock proteins research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Zhong Wu is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (2 papers), Heat shock proteins research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Zhong Wu collaborates with scholars based in United States, China and Germany. Zhong Wu's co-authors include Dan Theodorescu, Garret M. Hampton, Robert R. McWilliams, Raed Samara, Samuel O. Antwi, Steven N. Hart, Eric C. Polley, Jenna Lilyquist, Kun Y. Lee and Kari G. Chaffee and has published in prestigious journals such as JAMA, PLoS ONE and Cancer Research.

In The Last Decade

Zhong Wu

8 papers receiving 590 citations

Hit Papers

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

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Association Between Inherited Germline Mutations in Cancer Predisposition Genes and Risk of Pancreatic Cancer

2018 341 citations Chunling Hu, Steven N. Hart et al. JAMA profile →

Author Peers

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

Author						Papers	Cites
Zhong Wu	365	271	262	130	101	8	594
M F Kohler	263 0.7×	168 0.6×	194 0.7×	115 0.9×	133 1.3×	9	621
Yuichi Sameshima	288 0.8×	197 0.7×	259 1.0×	61 0.5×	136 1.3×	9	562
Daniela Kandioler-Eckersberger	389 1.1×	235 0.9×	220 0.8×	70 0.5×	63 0.6×	11	583
S.H. Rider	294 0.8×	215 0.8×	248 0.9×	109 0.8×	249 2.5×	9	615
Soper Jt	317 0.9×	142 0.5×	213 0.8×	84 0.6×	71 0.7×	8	625
A. Silver	416 1.1×	144 0.5×	346 1.3×	53 0.4×	81 0.8×	9	652
Gerald Bailey	255 0.7×	137 0.5×	291 1.1×	111 0.9×	77 0.8×	7	520
Carine Tran‐Perennou	311 0.9×	235 0.9×	270 1.0×	123 0.9×	31 0.3×	13	664
John DiCarlo	311 0.9×	378 1.4×	275 1.0×	196 1.5×	136 1.3×	10	638
Mira Heinonen	240 0.7×	221 0.8×	448 1.7×	48 0.4×	103 1.0×	9	634

Countries citing papers authored by Zhong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Zhong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Wu

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