Wu Bing

578 citations
18 papers · 498 · h-index 11

Impact in

Papers in

Wu Bing

18 papers receiving 491 citations

Peers

Wu Bing
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 399
  • Cell Biology 64
  • Molecular Biology 269
  • Automotive Engineering 45
  • Structural Biology 3
Replace Risto-Pekka Pölönen with:
Risto-Pekka Pölönen Finland
Christian W. Zemlin United States
Zsolt Mártonfalvi Hungary
John A. Rohde United States
Vincent A. Barnett United States
Daniel F.A. McKillop United Kingdom
Justin Kolb United States
K. G�th Germany
Asuka Hatano Japan
Irene Pertici Italy
Wu Bing relative to Risto-Pekka Pölönen Finland Risto-Pekka Pölönen's profile →
Citations per field
00.5×
Risto-Pekka Pölönen · 1×
Citations per year

Countries citing papers authored by Wu Bing

Since Specialization
Citations

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

Fields of papers citing papers by Wu Bing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 199770
2 200069
3 200069
4 200060
5 199645
6 199842
7 199739
8 202038
9 199718
10 200015
11 201813
12
Survey on the formation control of multi-agent system
20128
13
A lineage of myeloid cells independent of Myb and hematopoietic stem cells
20124
14 20153
15 20182
16
Functional effects of hypertrophic cardiomyopathy mutations in alpha-tropomyosin on Ca2+ regulation of thm filaments
19981
17
Effect of Ornithine Decarboxylase Antizyme 1 on the Erythroid Differentiation in Human Leukemia Cell Line K562
20131
18 20131

About Wu Bing

Wu Bing is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Automotive Engineering, Cell Biology and Electrical and Electronic Engineering, having authored 18 papers that have together received 498 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (9 papers), Muscle Physiology and Disorders (6 papers), Cardiovascular Effects of Exercise (4 papers), Electric Vehicles and Infrastructure (2 papers), Cellular Mechanics and Interactions (2 papers), Williams Syndrome Research (1 paper), Cell Image Analysis Techniques (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (399 citations), Cell Biology (64 citations), Molecular Biology (269 citations), Automotive Engineering (45 citations) and Structural Biology (3 citations). Wu Bing has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Steven B. Marston, Adam Knott, Iain D. C. Fraser, Hugh Watkins, Giovanna Esposito, Ian Purcell, Charles Redwood, Azam Razzaq, John C. Sparrow and Li-Jun Qian. Their work appears in journals such as Biochemical Journal, Journal of Muscle Research and Cell Motility, Medical Physics, Immunology and Journal of Molecular and Cellular Cardiology.

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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