Xiaona Yan

34 total papers · 1.0k total citations
27 papers, 908 citations indexed

About

Xiaona Yan is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaona Yan has authored 27 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Biomedical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaona Yan's work include Protein Interaction Studies and Fluorescence Analysis (6 papers), Biological Activity of Diterpenoids and Biflavonoids (4 papers) and Neonatal Health and Biochemistry (4 papers). Xiaona Yan is often cited by papers focused on Protein Interaction Studies and Fluorescence Analysis (6 papers), Biological Activity of Diterpenoids and Biflavonoids (4 papers) and Neonatal Health and Biochemistry (4 papers). Xiaona Yan collaborates with scholars based in China and United Kingdom. Xiaona Yan's co-authors include Yueqin Duan, Li‐Jian Bie, Zhihao Yuan, Jing Yin, Dezhen Wu, Shengli Qi, Guofeng Tian, Baosheng Liu, Lushi Kong and Yan‐Lin He and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and ACS Applied Materials & Interfaces.

In The Last Decade

Xiaona Yan

27 papers receiving 890 citations

Author Peers

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

Author						Papers	Cites
Xiaona Yan	509	276	253	145	116	27	908
Shumin Li	447 0.9×	213 0.8×	183 0.7×	86 0.6×	56 0.5×	30	802
Yingwei Liu	361 0.7×	258 0.9×	247 1.0×	166 1.1×	124 1.1×	61	871
Fenglei Li	329 0.6×	147 0.5×	164 0.6×	91 0.6×	353 3.0×	50	908
Tomáš Syrový	410 0.8×	333 1.2×	144 0.6×	180 1.2×	58 0.5×	61	969
Tingting Chen	310 0.6×	214 0.8×	100 0.4×	38 0.3×	55 0.5×	39	758
Pradeep K. Varshney	460 0.9×	130 0.5×	117 0.5×	49 0.3×	79 0.7×	38	772
Xue Han	594 1.2×	160 0.6×	205 0.8×	41 0.3×	151 1.3×	24	888
Mahmood Ul Haq	587 1.2×	174 0.6×	449 1.8×	140 1.0×	53 0.5×	47	1.0k
Lihong Gong	503 1.0×	188 0.7×	506 2.0×	98 0.7×	23 0.2×	37	911
Lei Zhang	480 0.9×	340 1.2×	219 0.9×	59 0.4×	57 0.5×	48	902

Countries citing papers authored by Xiaona Yan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaona Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaona Yan

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