Anling Xiao

19 total papers · 728 total citations
12 papers, 468 citations indexed

About

Anling Xiao is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Infectious Diseases. According to data from OpenAlex, Anling Xiao has authored 12 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Neurology and 3 papers in Infectious Diseases. Recurrent topics in Anling Xiao's work include COVID-19 diagnosis using AI (6 papers), Long-Term Effects of COVID-19 (5 papers) and COVID-19 Clinical Research Studies (3 papers). Anling Xiao is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), Long-Term Effects of COVID-19 (5 papers) and COVID-19 Clinical Research Studies (3 papers). Anling Xiao collaborates with scholars based in China, United Kingdom and United States. Anling Xiao's co-authors include Bo Yin, Xuanxuan Li, Nan Mei, Yiping Lu, Dongdong Wang, Yajing Zhao, Daoying Geng, Chu‐Chung Huang, Tianye Jia and Pu‐Yeh Wu and has published in prestigious journals such as European Radiology, Frontiers in Medicine and EClinicalMedicine.

In The Last Decade

Anling Xiao

10 papers receiving 461 citations

Hit Papers

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

Author Peers

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

Author Last Decade Papers Cites
Anling Xiao 364 150 119 101 90 12 468
Yajing Zhao 369 1.0× 147 1.0× 119 1.0× 99 1.0× 90 1.0× 15 486
Nan Mei 368 1.0× 150 1.0× 119 1.0× 101 1.0× 95 1.1× 24 535
Daoying Geng 355 1.0× 136 0.9× 119 1.0× 95 0.9× 89 1.0× 9 496
Nils Schroeter 441 1.2× 95 0.6× 171 1.4× 186 1.8× 121 1.3× 8 505
Somayeh Meysami 228 0.6× 114 0.8× 93 0.8× 53 0.5× 72 0.8× 19 463
Jacques‐Yves Campion 364 1.0× 111 0.7× 123 1.0× 104 1.0× 100 1.1× 11 436
Johannes Thurow 440 1.2× 91 0.6× 161 1.4× 177 1.8× 119 1.3× 13 532
Yiran Zhou 218 0.6× 53 0.4× 78 0.7× 44 0.4× 63 0.7× 25 405
Javier Sotoca 390 1.1× 87 0.6× 154 1.3× 131 1.3× 43 0.5× 17 446
Ning Yang 161 0.4× 139 0.9× 60 0.5× 49 0.5× 52 0.6× 19 456

Countries citing papers authored by Anling Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Anling Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anling Xiao

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