Xiaoxue Long

1.3k total citations · 1 hit paper
9 papers, 559 citations indexed

About

Xiaoxue Long is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Xiaoxue Long has authored 9 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Ophthalmology. Recurrent topics in Xiaoxue Long's work include Retinal Imaging and Analysis (3 papers), Fibroblast Growth Factor Research (3 papers) and Kruppel-like factors research (3 papers). Xiaoxue Long is often cited by papers focused on Retinal Imaging and Analysis (3 papers), Fibroblast Growth Factor Research (3 papers) and Kruppel-like factors research (3 papers). Xiaoxue Long collaborates with scholars based in China, Germany and Australia. Xiaoxue Long's co-authors include Huating Li, Weiping Jia, Bradley Tucker, Kwok Leung Ong, Kerry‐Anne Rye, Liang Wu, Xuhong Hou, Bin Sheng, Qiang Wu and Yan Chen and has published in prestigious journals such as Nature Communications, Science Translational Medicine and Metabolism.

In The Last Decade

Xiaoxue Long

9 papers receiving 541 citations

Hit Papers

A deep learning system for detecting diabetic retinopathy... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaoxue Long China 5 226 164 150 147 96 9 559
Chun Cai China 5 267 1.2× 39 0.2× 68 0.5× 192 1.3× 106 1.1× 10 555
Riswana Banu Singapore 8 381 1.7× 61 0.4× 114 0.8× 420 2.9× 20 0.2× 10 720
Kiyoung Kim South Korea 16 429 1.9× 44 0.3× 124 0.8× 508 3.5× 56 0.6× 61 733
Jaskirat Kaur India 9 156 0.7× 47 0.3× 33 0.2× 117 0.8× 124 1.3× 17 295
Seung‐Young Yu South Korea 20 821 3.6× 97 0.6× 182 1.2× 995 6.8× 24 0.3× 70 1.3k
Wanzhen Jiao China 13 258 1.1× 73 0.4× 47 0.3× 231 1.6× 72 0.8× 31 436
Yuhan Zhang China 13 241 1.1× 28 0.2× 89 0.6× 110 0.7× 70 0.7× 46 495
Yu Guan China 11 238 1.1× 25 0.2× 121 0.8× 113 0.8× 106 1.1× 49 524
Yanzhou Zhang China 16 105 0.5× 98 0.6× 441 2.9× 11 0.1× 24 0.3× 54 1.0k

Countries citing papers authored by Xiaoxue Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxue Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxue Long

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxue Long. A scholar is included among the top collaborators of Xiaoxue Long 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 Xiaoxue Long. Xiaoxue Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Long, Xiaoxue, Yueqiong Ni, Lingling Qian, et al.. (2022). Risk assessment with gut microbiome and metabolite markers in NAFLD development. Science Translational Medicine. 14(648). eabk0855–eabk0855. 91 indexed citations
2.
Wang, Ningli, et al.. (2022). Approach to glaucoma diagnosis and prediction based on multiparameter neural network. International Ophthalmology. 43(3). 837–845. 1 indexed citations
3.
Dai, Ling, Liang Wu, Huating Li, et al.. (2021). A deep learning system for detecting diabetic retinopathy across the disease spectrum. Nature Communications. 12(1). 3242–3242. 319 indexed citations breakdown →
4.
Liu, Dan, Liang Wu, Qiongmei Gao, et al.. (2021). FGF21/adiponectin ratio predicts deterioration in glycemia: a 4.6-year prospective study in China. Cardiovascular Diabetology. 20(1). 157–157. 14 indexed citations
5.
Long, Xiaoxue, Dan Liu, Qiongmei Gao, et al.. (2021). Bifidobacterium adolescentis Alleviates Liver Steatosis and Steatohepatitis by Increasing Fibroblast Growth Factor 21 Sensitivity. Frontiers in Endocrinology. 12. 773340–773340. 28 indexed citations
6.
Li, Qi, et al.. (2020). Meta-Analysis of the Relationship between Normal Tension Glaucoma,Open-Angle Glaucoma, and Fractional Pressure Reserve. Molecular & cellular biomechanics. 17(3). 119–137. 1 indexed citations
7.
Tucker, Bradley, Huating Li, Xiaoxue Long, Kerry‐Anne Rye, & Kwok Leung Ong. (2019). Fibroblast growth factor 21 in non-alcoholic fatty liver disease. Metabolism. 101. 153994–153994. 101 indexed citations
8.
Li, Qi, et al.. (2019). [Review of studies on the application of biomechanical factors in the evaluation of glaucoma].. PubMed. 36(2). 315–319. 2 indexed citations
9.
Shi, Xingmin, Lizhe Zhu, Sile Chen, et al.. (2016). Destructive Effect of DBCD Plasma on HBsAg in Human Blood and Its Impact on Erythrocyte Functions. IEEE Transactions on Plasma Science. 44(9). 1815–1822. 2 indexed citations

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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