Hanying Xing

33 total papers · 552 total citations
19 papers, 402 citations indexed

About

Hanying Xing is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Hanying Xing has authored 19 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Cancer Research. Recurrent topics in Hanying Xing's work include Adipose Tissue and Metabolism (5 papers), MicroRNA in disease regulation (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Hanying Xing is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), MicroRNA in disease regulation (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Hanying Xing collaborates with scholars based in China and United States. Hanying Xing's co-authors include Guangyao Song, Yajun Zhu, Xing Wang, Yan Di, Jing Zhao, Xuemei Zhang, Chao Wang, Zhi Zheng, Hang Zhao and Min Liu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, BioMed Research International and Frontiers in Endocrinology.

In The Last Decade

Hanying Xing

19 papers receiving 400 citations

Author Peers

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

Author Last Decade Papers Cites
Hanying Xing 202 154 67 49 44 19 402
Jacek Turyn 239 1.2× 133 0.9× 65 1.0× 34 0.7× 86 2.0× 21 438
Yuan Dong 206 1.0× 94 0.6× 62 0.9× 55 1.1× 22 0.5× 31 407
Ru Sun 207 1.0× 65 0.4× 45 0.7× 31 0.6× 28 0.6× 25 425
Eskandar Qaed 232 1.1× 78 0.5× 31 0.5× 59 1.2× 44 1.0× 27 435
Yunxin Liu 239 1.2× 128 0.8× 36 0.5× 44 0.9× 15 0.3× 15 438
Fuzhe Ma 209 1.0× 109 0.7× 43 0.6× 17 0.3× 30 0.7× 25 421
Jie Han 156 0.8× 76 0.5× 74 1.1× 52 1.1× 80 1.8× 29 432
Xiaochun Lin 200 1.0× 105 0.7× 75 1.1× 47 1.0× 49 1.1× 35 400
Zorica Cvetković 109 0.5× 67 0.4× 32 0.5× 35 0.7× 67 1.5× 31 353
Zhigang Luo 220 1.1× 93 0.6× 35 0.5× 59 1.2× 50 1.1× 23 417

Countries citing papers authored by Hanying Xing

Since Specialization
Citations

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

Fields of papers citing papers by Hanying Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanying Xing

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