Xiaobin Wang

840 citations
42 papers · 640 · h-index 17

Impact in

Papers in

Xiaobin Wang

41 papers receiving 630 citations

Peers

Xiaobin Wang
Comparison fields: 5 of 104
  • Developmental Neuroscience 54
  • Critical Care and Intensive Care Medicine 30
  • Cancer Research 57
  • Molecular Biology 282
  • Electrochemistry 23
Replace Serguei Liachenko with:
Serguei Liachenko United States
Nikolai V. Gorbunov United States
Michael Karlsson Sweden
Xianmei Meng China
Geng Zhang China
Tongju Li Germany
Xin Wei China
Jia Shen China
O. Peltola Finland
Kosuke Endo Japan
Xiaobin Wang relative to Serguei Liachenko United States Serguei Liachenko's profile →
Citations per field
00.5×3.3×
Serguei Liachenko · 1×
Citations per year

Countries citing papers authored by Xiaobin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200669
2 200138
3 200937
4 199837
5 201835
6 201435
7 201732
8 201625
9 201824
10 202124
11 201923
12 202222
13 201321
14 200321
15 201720
16 201819
17 202317
18 201215
19 202214
20
The proteasome inhibitor bortezomib reverses P-glycoprotein-mediated leukemia multi-drug resistance through the NF-kappaB pathway.
201213

About Xiaobin Wang

Xiaobin Wang is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Physiology and Cancer Research, having authored 42 papers that have together received 640 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Adipose Tissue and Metabolism (3 papers), Electrochemical Analysis and Applications (3 papers), MicroRNA in disease regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Biosensors and Analytical Detection (2 papers), Thermochemical Biomass Conversion Processes (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Developmental Neuroscience (54 citations), Critical Care and Intensive Care Medicine (30 citations), Cancer Research (57 citations), Molecular Biology (282 citations) and Electrochemistry (23 citations). Xiaobin Wang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Tianhua Niu, Qingwu Shen, Ming Wang, Xiping Xu, Ke‐Xuan Liu, Bo Yang, Ye Chen, Changzhong Chen, Jun Zhou and Xiaolan Hu. Their work appears in journals such as Shock, The Analyst, Respiratory Physiology & Neurobiology, Journal of Thoracic and Cardiovascular Surgery and Sensors and Actuators B Chemical.

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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