Yadi Liao

48 total papers · 886 total citations
21 papers, 575 citations indexed

About

Yadi Liao is a scholar working on Hepatology, Cancer Research and Epidemiology. According to data from OpenAlex, Yadi Liao has authored 21 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hepatology, 8 papers in Cancer Research and 7 papers in Epidemiology. Recurrent topics in Yadi Liao's work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease Diagnosis and Treatment (7 papers) and Cancer Mechanisms and Therapy (5 papers). Yadi Liao is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease Diagnosis and Treatment (7 papers) and Cancer Mechanisms and Therapy (5 papers). Yadi Liao collaborates with scholars based in China, United States and Hong Kong. Yadi Liao's co-authors include Yunfei Yuan, Jiliang Qiu, Binkui Li, Wei He, Chenwei Wang, Dinglan Zuo, Zhiwen Yang, Ruhai Zou, Yuanping Zhang and Wenwu Liu and has published in prestigious journals such as Nature Communications, Cancer Research and Nutrients.

In The Last Decade

Yadi Liao

21 papers receiving 570 citations

Author Peers

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

Author						Papers	Cites
Yadi Liao	249	201	183	134	125	21	575
Wenbing Sun	226 0.9×	239 1.2×	189 1.0×	126 0.9×	119 1.0×	25	597
Chunlin Jiang	194 0.8×	220 1.1×	189 1.0×	118 0.9×	80 0.6×	23	524
Bin-yong Liang	250 1.0×	288 1.4×	127 0.7×	178 1.3×	153 1.2×	32	646
Qingsong Xie	281 1.1×	100 0.5×	194 1.1×	110 0.8×	141 1.1×	19	629
Shunli Shen	346 1.4×	179 0.9×	248 1.4×	99 0.7×	185 1.5×	32	683
Osamu Okochi	205 0.8×	125 0.6×	117 0.6×	105 0.8×	184 1.5×	26	518
Yih-Jyh Lin	148 0.6×	159 0.8×	102 0.6×	122 0.9×	109 0.9×	23	497
Chi Zhang	170 0.7×	167 0.8×	160 0.9×	130 1.0×	183 1.5×	26	622
Quentin Bayard	298 1.2×	184 0.9×	244 1.3×	159 1.2×	105 0.8×	13	623
Feiguo Zhou	267 1.1×	187 0.9×	180 1.0×	154 1.1×	120 1.0×	18	568

Countries citing papers authored by Yadi Liao

Since Specialization

Citations

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

Fields of papers citing papers by Yadi Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yadi Liao

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact