Xiaoli Bian

538 citations
38 papers · 452 · h-index 15

Impact in

Papers in

Xiaoli Bian

37 papers receiving 445 citations

Peers

Xiaoli Bian
Comparison fields: 5 of 95
  • Filtration and Separation 36
  • Pharmacology 55
  • Biochemistry 34
  • Biochemistry 35
  • Complementary and alternative medicine 33
Replace Martina Guerra with:
Martina Guerra Italy
Małgorzata Dołowy Poland
Vangala Subrahmanyam United States
Gulam M. Rather United States
Ashish Patel India
Eleonora Grippa Italy
Kerstin Jönsson Sweden
Xia Hu China
Muhammed Alzweiri Jordan
Pinghua Sun China
Xiaoli Bian relative to Martina Guerra Italy Martina Guerra's profile →
Citations per field
00.5×
Martina Guerra · 1×
Citations per year

Countries citing papers authored by Xiaoli Bian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoli Bian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoli Bian Line = papers co-authored together Xiaoli Bian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200546
2 201339
3 201329
4 201327
5 201225
6 201721
7 201720
8 201919
9 201818
10 201318
11 201915
12 201815
13 201214
14 201514
15 201514
16 202113
17 201811
18 201810
19 202110
20 20149

About Xiaoli Bian

Xiaoli Bian is a scholar working on Applied Mathematics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Spectroscopy and Statistical and Nonlinear Physics, having authored 38 papers that have together received 452 indexed citations. Recurring topics across this work include Algebraic and Geometric Analysis (7 papers), Natural Antidiabetic Agents Studies (7 papers), Analytical Chemistry and Chromatography (6 papers), Crystallization and Solubility Studies (5 papers), Mathematical Analysis and Transform Methods (5 papers), Holomorphic and Operator Theory (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Chaos control and synchronization (3 papers). The work is most often cited by research in Filtration and Separation (36 citations), Pharmacology (55 citations), Biochemistry (34 citations), Biochemistry (35 citations) and Complementary and alternative medicine (33 citations). Xiaoli Bian has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Guangde Yang, Aiguo Zeng, Langchong He, Yundong Xie, Guanjun Nan, Yiping Li, Li‐Hua Shao, Rong Yang, Cong Li and Shuangbao Li. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Molecular Liquids, Mathematical Methods in the Applied Sciences, Nonlinear Dynamics and Bioorganic & Medicinal Chemistry.

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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