Xiaodan Wei

51 papers receiving 2.7k citations

Xiaodan Wei's Hit Papers

Lixisenatide in Patients with Type 2 Diabetes and Acute Coronary Syndrome 2015 · 1.8k citations
1.8k0+3+7Years since publication50010001.5k

Peers

Xiaodan Wei
Comparison fields: 5 of 129
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Pharmacology 276
  • Cardiology and Cardiovascular Medicine 233
  • Surgery 436
  • Biomaterials 142
Replace Harald Schmidt with:
Harald Schmidt Germany
Xi Yang China
Kohei Ueda Japan
Giuseppe Pizzolanti Italy
John G. Yovos Greece
Victor Petrov Russia
Randolph L. Geary United States
Rajbabu Pakala United States
Atsushi Tanaka Japan
Kiyuk Chang South Korea
Xiaodan Wei relative to Harald Schmidt Germany Harald Schmidt's profile →
Citations per field
00.5×11.6×
Harald Schmidt · 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 →
20151796
2 201571
3 202159
4 201555
5 202153
6 202451
7 202250
8 202239
9 201531
10 201530
11 202129
12 202128
13 202027
14 202225
15 202325
16 201824
17 202123
18 202323
19 202421
20 201721

About Xiaodan Wei

Xiaodan Wei is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Oncology and Cancer Research, having authored 53 papers that have together received 2.7k 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), Immunotherapy and Immune Responses (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Pharmacology (276 citations), Cardiology and Cardiovascular Medicine (233 citations), Surgery (436 citations) and Biomaterials (142 citations). Xiaodan Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kenneth Dickstein, Francesca Lawson, Marc A. Pfeffer, Lars Køber, Scott D. Solomon, Eldrin F. Lewis, Rafael Díaz, Jean‐Claude Tardif, Hertzel C. Gerstein and Matthew C. Riddle. Their work appears in journals such as Oncotarget, Advanced Healthcare Materials, International Journal of Nanomedicine, Scientific Reports and New England Journal of Medicine.

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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