Nina Zhou

53 total papers · 946 total citations
30 papers, 299 citations indexed

About

Nina Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nina Zhou has authored 30 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nina Zhou's work include Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and HER2/EGFR in Cancer Research (6 papers). Nina Zhou is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and HER2/EGFR in Cancer Research (6 papers). Nina Zhou collaborates with scholars based in China, Ethiopia and United States. Nina Zhou's co-authors include Zhi Yang, Hua Zhu, Teli Liu, Xiaoyi Guo, Xiangxi Meng, Xiaoxia Xu, Lei Xia, Wen Li, Nan Li and Feng Wang and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Nina Zhou

27 papers receiving 299 citations

Author Peers

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

Author						Papers	Cites
Nina Zhou	170	119	80	58	43	30	299
Masako Hosono	116 0.7×	66 0.6×	136 1.7×	28 0.5×	53 1.2×	32	321
Nai‐Shun Yao	121 0.7×	209 1.8×	47 0.6×	14 0.2×	26 0.6×	23	354
Kai Guo	91 0.5×	152 1.3×	83 1.0×	68 1.2×	9 0.2×	32	337
Enrique Estrada-Lobato	143 0.8×	47 0.4×	88 1.1×	83 1.4×	22 0.5×	18	332
Gábor Nagy	146 0.9×	96 0.8×	59 0.7×	18 0.3×	61 1.4×	28	363
Chiara De‐Colle	113 0.7×	70 0.6×	112 1.4×	25 0.4×	24 0.6×	26	281
Andrei Roman	67 0.4×	53 0.4×	142 1.8×	50 0.9×	30 0.7×	33	316
Bálint Tamaskovics	49 0.3×	93 0.8×	64 0.8×	32 0.6×	51 1.2×	32	312
Pengfei Jiang	102 0.6×	131 1.1×	109 1.4×	28 0.5×	22 0.5×	21	327
Andrea Emanuele Guerini	58 0.3×	117 1.0×	100 1.3×	15 0.3×	45 1.0×	32	360

Countries citing papers authored by Nina Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Nina Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Zhou

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