Xiaoxi Liu

52 total papers · 653 total citations
32 papers, 477 citations indexed

About

Xiaoxi Liu is a scholar working on Pharmacology, Physiology and Finance. According to data from OpenAlex, Xiaoxi Liu has authored 32 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 6 papers in Physiology and 5 papers in Finance. Recurrent topics in Xiaoxi Liu's work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Statistical Methods in Clinical Trials (3 papers) and Global Financial Crisis and Policies (3 papers). Xiaoxi Liu is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (8 papers), Statistical Methods in Clinical Trials (3 papers) and Global Financial Crisis and Policies (3 papers). Xiaoxi Liu collaborates with scholars based in United States, China and Switzerland. Xiaoxi Liu's co-authors include Catherine M.T. Sherwin, Shaun S. Kumar, Joseph E. Rower, Jahidur Rashid, Yuhuan Wang, Donglin Zeng, Kathleen M. Job, Candice D. Fike, Yu Tian and Venkata Yellepeddi and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Biometrika and Frontiers in Plant Science.

In The Last Decade

Xiaoxi Liu

32 papers receiving 466 citations

Author Peers

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

Author						Papers	Cites
Xiaoxi Liu	96	96	76	60	59	32	477
Julia Botha	114 1.2×	138 1.4×	38 0.5×	70 1.2×	55 0.9×	41	521
Xiaowei Fu	90 0.9×	92 1.0×	63 0.8×	65 1.1×	38 0.6×	22	515
Jae Eun Ahn	90 0.9×	141 1.5×	34 0.4×	38 0.6×	62 1.1×	15	529
Michael Looby	120 1.3×	71 0.7×	134 1.8×	37 0.6×	116 2.0×	22	429
Vijay O. Bhargava	155 1.6×	81 0.8×	33 0.4×	108 1.8×	46 0.8×	35	482
David F. Lehmann	167 1.7×	58 0.6×	27 0.4×	67 1.1×	17 0.3×	37	462
Chantal Barin‐Le Guellec	101 1.1×	112 1.2×	40 0.5×	55 0.9×	10 0.2×	36	534
R. Calvo	65 0.7×	88 0.9×	28 0.4×	24 0.4×	39 0.7×	47	538
Junjun Mao	60 0.6×	84 0.9×	22 0.3×	48 0.8×	49 0.8×	19	492
Ryuichi Ogawa	65 0.7×	51 0.5×	53 0.7×	80 1.3×	26 0.4×	40	549

Countries citing papers authored by Xiaoxi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoxi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxi Liu

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