Nan Mei

35 total papers · 842 total citations
24 papers, 535 citations indexed

About

Nan Mei is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology. According to data from OpenAlex, Nan Mei has authored 24 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Neurology and 6 papers in Epidemiology. Recurrent topics in Nan Mei's work include Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and Long-Term Effects of COVID-19 (5 papers). Nan Mei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and Long-Term Effects of COVID-19 (5 papers). Nan Mei collaborates with scholars based in China, United Kingdom and United States. Nan Mei's co-authors include Bo Yin, Xuanxuan Li, Yiping Lu, Anling Xiao, Yajing Zhao, Dongdong Wang, Daoying Geng, Pu‐Yeh Wu, Chu‐Chung Huang and Tianye Jia and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Magnetic Resonance Imaging and European Radiology.

In The Last Decade

Nan Mei

21 papers receiving 527 citations

Hit Papers

Cerebral Micro-Structural... 2020 2026 2022 2024 2020 100 200 300 400
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.

  1. Cerebral Micro-Structural Changes in COVID-19 Patients – An MRI-based 3-month Follow-up Study
    2020 411 citations Yiping Lu, Xuanxuan Li et al. EClinicalMedicine profile →

Author Peers

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

Author Last Decade Papers Cites
Nan Mei 368 150 119 111 101 24 535
Yajing Zhao 369 1.0× 147 1.0× 119 1.0× 85 0.8× 99 1.0× 15 486
Anling Xiao 364 1.0× 150 1.0× 119 1.0× 77 0.7× 101 1.0× 12 468
Nicola Trotta 230 0.6× 102 0.7× 56 0.5× 112 1.0× 48 0.5× 33 531
Masoume Nazeri 316 0.9× 133 0.9× 147 1.2× 18 0.2× 94 0.9× 30 495
Marcel S. Woo 267 0.7× 63 0.4× 140 1.2× 16 0.1× 92 0.9× 26 529
Elisabetta Groppo 319 0.9× 29 0.2× 119 1.0× 19 0.2× 118 1.2× 25 485
Anna S. Nordvig 438 1.2× 186 1.2× 146 1.2× 10 0.1× 72 0.7× 18 560
Nivedha Kannapadi 421 1.1× 77 0.5× 199 1.7× 8 0.1× 123 1.2× 17 552
Xinning Mi 196 0.5× 113 0.8× 45 0.4× 9 0.1× 149 1.5× 28 568
Lina Zhang 249 0.7× 57 0.4× 23 0.2× 33 0.3× 39 0.4× 32 595

Countries citing papers authored by Nan Mei

Since Specialization
Citations

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

Fields of papers citing papers by Nan Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Mei. A scholar is included among the top collaborators of Nan Mei 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 Nan Mei. Nan Mei 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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2026