Xiaodan Wei

3.5k citations
53 papers · 2.6k · 1 hit paper · h-index 20

Impact in

Papers in

Xiaodan Wei

50 papers receiving 2.5k citations

Xiaodan Wei's Hit Papers

Lixisenatide in Patients with Type 2 Diabetes and Acute Coronary Syndrome 2015 · 1.7k citations
1.7k0+3+7Years since publication50010001.5k

Peers

Xiaodan Wei
Comparison fields: 5 of 130
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Pharmacology 356
  • Cardiology and Cardiovascular Medicine 311
  • Molecular Biology 914
  • Surgery 569
Replace Ping Guo with:
Ping Guo United States
Victor Petrov Russia
Kohei Ueda Japan
Giuseppe Pizzolanti Italy
John G. Yovos Greece
Xi Yang China
Rajbabu Pakala United States
Randolph L. Geary United States
Atsushi Tanaka Japan
Tetsuya Tatsumi Japan
Xiaodan Wei relative to Ping Guo United States Ping Guo's profile →
Citations per field
00.5×4.6×
Ping Guo · 1×
Citations per year

Countries citing papers authored by Xiaodan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lixisenatide in Patients with Type 2 Diabetes and Acute Coronary Syndrome
Hit paper breakdown →
20151726
2 201566
3 202156
4 201556
5 202151
6 202250
7 202441
8 202238
9 201529
10 202128
11 202128
12 201527
13 202325
14 202025
15 201824
16 202224
17 202322
18 202121
19 201721
20 201619

About Xiaodan Wei

Xiaodan Wei is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Pulmonary and Respiratory Medicine and Oncology, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (22 papers), Nanoparticle-Based Drug Delivery (6 papers), Photodynamic Therapy Research Studies (5 papers), Extracellular vesicles in disease (5 papers), Immune cells in cancer (4 papers), Advanced Nanomaterials in Catalysis (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Pharmacology (356 citations), Cardiology and Cardiovascular Medicine (311 citations), Molecular Biology (914 citations) and Surgery (569 citations). Xiaodan Wei has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Aldo P. Maggioni, Hertzel C. Gerstein, Rafael Díaz, Jean‐Claude Tardif, Eldrin F. Lewis, Scott D. Solomon, Lars Køber, Francesca Lawson, Kenneth Dickstein and Jeffrey L. Probstfield. Their work appears in journals such as Oncotarget, Scientific Reports, Advanced Healthcare Materials, Acta Biomaterialia and ACS Materials Letters.

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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