Xiaolan Bian

53 total papers · 497 total citations
37 papers, 363 citations indexed

About

Xiaolan Bian is a scholar working on Pharmacology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Xiaolan Bian has authored 37 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pharmacology, 7 papers in Molecular Biology and 6 papers in Infectious Diseases. Recurrent topics in Xiaolan Bian's work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Antibiotic Resistance in Bacteria (5 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Xiaolan Bian is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (8 papers), Antibiotic Resistance in Bacteria (5 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Xiaolan Bian collaborates with scholars based in China, United States and Australia. Xiaolan Bian's co-authors include Ping Yu, Wenpei Dong, Liang Zhang, Zhitao Yang, Xiaoqiang Xiang, Yan‐Ru Lou, Yiqun Yu, Min Li, Jing Yuan and Yao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Pharmacology.

In The Last Decade

Xiaolan Bian

33 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Xiaolan Bian	132	96	85	65	50	37	363
Yaxin Fan	176 1.3×	144 1.5×	71 0.8×	77 1.2×	24 0.5×	40	332
Ziye Zhou	118 0.9×	80 0.8×	42 0.5×	65 1.0×	19 0.4×	43	359
Chunhong Zhang	93 0.7×	35 0.4×	99 1.2×	34 0.5×	15 0.3×	37	366
Carmen Fucile	152 1.2×	68 0.7×	80 0.9×	79 1.2×	33 0.7×	25	390
Taghi Naserpour Farivar	36 0.3×	68 0.7×	121 1.4×	58 0.9×	21 0.4×	41	374
Hervé Delacour	93 0.7×	98 1.0×	97 1.1×	20 0.3×	33 0.7×	49	341
Yue‐E Wu	149 1.1×	32 0.3×	27 0.3×	85 1.3×	24 0.5×	46	301
Junko Nagai	154 1.2×	23 0.2×	92 1.1×	27 0.4×	8 0.2×	35	402
Atsushi Uda	45 0.3×	23 0.2×	73 0.9×	28 0.4×	50 1.0×	26	295
Marissa Bolson Serafin	40 0.3×	60 0.6×	139 1.6×	33 0.5×	19 0.4×	26	342

Countries citing papers authored by Xiaolan Bian

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolan Bian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolan Bian

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