Xiaofan Sui

839 citations
25 papers · 708 · h-index 17

Impact in

Papers in

Xiaofan Sui

25 papers receiving 688 citations

Peers

Xiaofan Sui
Comparison fields: 5 of 92
  • Pharmaceutical Science 226
  • Biomaterials 164
  • Pharmacology 90
  • Computational Theory and Mathematics 120
  • Spectroscopy 100
Replace Jon S. B. de Vlieger with:
Jon S. B. de Vlieger Netherlands
Chunnuan Wu China
Konstantin Tsinman United States
Ravinder Verma India
Popat Kumbhar India
Abdelrahman Y. Sherif Saudi Arabia
Katsumi Iga Japan
Yong-Chul Pyo South Korea
Qikun Jiang China
Guofei Li China
Xiaofan Sui relative to Jon S. B. de Vlieger Netherlands Jon S. B. de Vlieger's profile →
Citations per field
00.5×2×3×4.1×
Jon S. B. de Vlieger · 1×
Citations per year

Countries citing papers authored by Xiaofan Sui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofan Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaofan Sui, 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 Xiaofan Sui Line = papers co-authored together Xiaofan Sui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009140
2 201381
3 201369
4 200849
5 202232
6 202230
7 201127
8 202225
9 200824
10 201224
11 200923
12 201022
13 200822
14 200921
15 202321
16 202220
17 200820
18 202215
19 202213
20 202212

About Xiaofan Sui

Xiaofan Sui is a scholar working on Pharmaceutical Science, Spectroscopy, Computational Theory and Mathematics, Pharmacology and Materials Chemistry, having authored 25 papers that have together received 708 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (8 papers), Drug Solubulity and Delivery Systems (8 papers), Crystallization and Solubility Studies (6 papers), Computational Drug Discovery Methods (6 papers), Advanced Drug Delivery Systems (4 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Pharmaceutical Science (226 citations), Biomaterials (164 citations), Pharmacology (90 citations), Computational Theory and Mathematics (120 citations) and Spectroscopy (100 citations). Xiaofan Sui has collaborated with scholars based in China and Mongolia. Frequent co-authors include Jin Sun, Zhonggui He, Mo Li, Wenping Zhang, Qiang Fu, Yongjun Wang, Zhonggui He, Qiang Fu, Zhonggui He and Yinghua Sun. Their work appears in journals such as International Journal of Pharmaceutics, Biopharmaceutics & Drug Disposition, Chromatographia, European Journal of Medicinal Chemistry and Colloids and Surfaces B Biointerfaces.

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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