Xiaoli Yan

75 total papers · 609 total citations
26 papers, 420 citations indexed

About

Xiaoli Yan is a scholar working on Complementary and alternative medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Xiaoli Yan has authored 26 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Complementary and alternative medicine, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Xiaoli Yan's work include Traditional Chinese Medicine Analysis (4 papers), Smoking Behavior and Cessation (3 papers) and Medicinal Plant Pharmacodynamics Research (3 papers). Xiaoli Yan is often cited by papers focused on Traditional Chinese Medicine Analysis (4 papers), Smoking Behavior and Cessation (3 papers) and Medicinal Plant Pharmacodynamics Research (3 papers). Xiaoli Yan collaborates with scholars based in China, Australia and United States. Xiaoli Yan's co-authors include Carl D. D’Ruiz, Donald W. Graff, Grant C. O’Connell, Mingsan Miao, Lin Guo, Mingsan Miao, Ming Bai, Hongyan Tian, Shuai Shao and Huan Li and has published in prestigious journals such as Journal of Power Sources, Nature Chemistry and Inorganic Chemistry.

In The Last Decade

Xiaoli Yan

23 papers receiving 401 citations

Author Peers

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

Author						Papers	Cites
Xiaoli Yan	230	95	91	73	47	26	420
Tao Lu	90 0.4×	68 0.7×	47 0.5×	72 1.0×	25 0.5×	24	473
Klaas Franzen	124 0.5×	65 0.7×	66 0.7×	55 0.8×	130 2.8×	36	422
Mary Rezk‐Hanna	255 1.1×	45 0.5×	75 0.8×	100 1.4×	99 2.1×	31	430
Ronak Derakhshandeh	182 0.8×	43 0.5×	43 0.5×	134 1.8×	112 2.4×	21	418
Wafaa Bawab	98 0.4×	110 1.2×	42 0.5×	22 0.3×	24 0.5×	25	439
Xingjin Yang	98 0.4×	40 0.4×	143 1.6×	69 0.9×	74 1.6×	27	463
Abdurrahman Genç	106 0.5×	24 0.3×	50 0.5×	14 0.2×	23 0.5×	23	367
David A. Jenner	92 0.4×	32 0.3×	75 0.8×	38 0.5×	90 1.9×	16	368
Mehdi Kargarfard	122 0.5×	37 0.4×	35 0.4×	34 0.5×	44 0.9×	35	374
Mingming Xue	50 0.2×	119 1.3×	43 0.5×	17 0.2×	54 1.1×	19	474

Countries citing papers authored by Xiaoli Yan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoli Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Yan

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