Xiaoyan Ding

59 total papers · 818 total citations
37 papers, 597 citations indexed

About

Xiaoyan Ding is a scholar working on Hepatology, Cancer Research and Epidemiology. According to data from OpenAlex, Xiaoyan Ding has authored 37 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hepatology, 12 papers in Cancer Research and 10 papers in Epidemiology. Recurrent topics in Xiaoyan Ding's work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Liver Disease Diagnosis and Treatment (7 papers) and Cancer, Lipids, and Metabolism (5 papers). Xiaoyan Ding is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Liver Disease Diagnosis and Treatment (7 papers) and Cancer, Lipids, and Metabolism (5 papers). Xiaoyan Ding collaborates with scholars based in China and United States. Xiaoyan Ding's co-authors include Ying Fan, Wendong Li, Jinglong Chen, Wei Sun, Binghe Xu, Fei Ma, Ying Teng, Wei Zheng, Wei Li and Pin Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Annals of Oncology.

In The Last Decade

Xiaoyan Ding

36 papers receiving 591 citations

Author Peers

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

Author						Papers	Cites
Xiaoyan Ding	177	155	149	147	101	37	597
Jinghang Jiang	224 1.3×	152 1.0×	103 0.7×	137 0.9×	35 0.3×	31	507
Liangcai Wu	81 0.5×	165 1.1×	275 1.8×	198 1.3×	80 0.8×	24	632
Quanbao Zhang	86 0.5×	164 1.1×	249 1.7×	134 0.9×	62 0.6×	40	595
Gaël S. Roth	127 0.7×	151 1.0×	204 1.4×	75 0.5×	45 0.4×	46	514
Feng Xue	117 0.7×	111 0.7×	114 0.8×	64 0.4×	64 0.6×	48	498
Leung Li	148 0.8×	207 1.3×	132 0.9×	98 0.7×	82 0.8×	33	566
Jun Qian	125 0.7×	184 1.2×	109 0.7×	78 0.5×	35 0.3×	39	503
Xiao Li	47 0.3×	99 0.6×	194 1.3×	146 1.0×	54 0.5×	35	592
L Hafström	239 1.4×	241 1.6×	82 0.6×	62 0.4×	57 0.6×	46	604
Annalisa Lorenzato	70 0.4×	136 0.9×	366 2.5×	234 1.6×	110 1.1×	22	692

Countries citing papers authored by Xiaoyan Ding

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyan Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Ding

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