Xiaowei Su

1.2k citations
43 papers · 868 · h-index 17

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
  • Biomaterials top 10%
    • Calcium Carbonate Crystallization and Inhibition

Papers in

Xiaowei Su

40 papers receiving 854 citations

Peers

Xiaowei Su
Comparison fields: 5 of 103
  • Neurology 158
  • Biomaterials 121
  • Cancer Research 111
  • Genetics 77
  • Neurology 52
Replace Nina Iversen with:
Nina Iversen Norway
Joseph B. Weiss United States
Oran D. Kennedy Ireland
Marian Kampschulte Germany
Katrien Vandoorne Israel
Takayoshi Sakai Japan
W. Wagner Germany
Preethi Ramachandran United States
Jan Procházka Czechia
Na Meng China
Xiaowei Su relative to Nina Iversen Norway Nina Iversen's profile →
Citations per field
00.5×4.3×
Nina Iversen · 1×
Citations per year

Countries citing papers authored by Xiaowei Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200267
2 201465
3 200063
4 201357
5 201353
6 201151
7 201149
8 201043
9 201443
10 201035
11 201130
12 201130
13 200928
14 201625
15 201424
16 199522
17 201318
18 201115
19 201014
20 200913

About Xiaowei Su

Xiaowei Su is a scholar working on Neurology, Biomedical Engineering, Molecular Biology, Surgery and Electrical and Electronic Engineering, having authored 43 papers that have together received 868 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Cardiac and Coronary Surgery Techniques (4 papers), Ion-surface interactions and analysis (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Metal and Thin Film Mechanics (3 papers), Semiconductor materials and devices (3 papers) and Lightning and Electromagnetic Phenomena (2 papers). The work is most often cited by research in Neurology (158 citations), Biomaterials (121 citations), Cancer Research (111 citations), Genetics (77 citations) and Neurology (52 citations). Xiaowei Su has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Zachary Simmons, James R. Connor, A. H. Heuer, Linbo Gao, Yulong Guan, Yang Yan, Lijuan Li, Meili Lv, Helen Stephens and Rong Zhou. Their work appears in journals such as Muscle & Nerve, Artificial Organs, Neurology, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and DNA and Cell Biology.

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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