Xiaobo Wang

5.8k citations
152 papers · 4.5k · 1 hit paper · h-index 34

Impact in

Papers in

Xiaobo Wang

148 papers receiving 4.4k citations

Xiaobo Wang's Hit Papers

Mechanical Feedback through E-Cadherin Promotes Direction Sensing during Collective Cell Migration 2014 · 376 citations
3760+4+8Years since publication100200300

Peers

Xiaobo Wang
Comparison fields: 5 of 148
  • Sensory Systems 335
  • Cell Biology 1.1k
  • Cancer Research 633
  • Neurology 342
  • Hepatology 293
Replace Raúl Urrutia with:
Raúl Urrutia United States
Thomas Müller Germany
Kazuo Nagashima Japan
Marshall H. Montrose United States
Fei Liu China
Kuniaki Takata Japan
Futoshi Shibasaki Japan
Richard P. Woychik United States
Hongbo R. Luo United States
Larry L. David United States
Xiaobo Wang relative to Raúl Urrutia United States Raúl Urrutia's profile →
Citations per field
00.5×1.5×1.9×
Raúl Urrutia · 1×
Citations per year

Countries citing papers authored by Xiaobo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanical Feedback through E-Cadherin Promotes Direction Sensing during Collective Cell Migration
Hit paper breakdown →
2014376
2 2010264
3 2010207
4 2005178
5 2007170
6 2013125
7 2005108
8 202089
9 200989
10 200480
11 200780
12 202080
13 201279
14 201079
15 200574
16 201471
17 200866
18 200964
19 201162
20 201862

About Xiaobo Wang

Xiaobo Wang is a scholar working on Molecular Biology, Surgery, Cancer Research, Cell Biology and Oncology, having authored 152 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Liver Disease Diagnosis and Treatment (11 papers), Cholesterol and Lipid Metabolism (9 papers), Pancreatitis Pathology and Treatment (9 papers), Liver Disease and Transplantation (9 papers), MicroRNA in disease regulation (8 papers) and Neurobiology and Insect Physiology Research (7 papers). The work is most often cited by research in Sensory Systems (335 citations), Cell Biology (1.1k citations), Cancer Research (633 citations), Neurology (342 citations) and Hepatology (293 citations). Xiaobo Wang has collaborated with scholars based in China, France and United States. Frequent co-authors include Denise J. Montell, Li He, Gail E. Sonenshein, Klaus M. Hahn, Yi Wu, Karine Belguise, Valérie Choesmel-Cadamuro, Ho Lam Tang, Jenny Zhu and Yama Abassi. Their work appears in journals such as Nature Communications, Nature Cell Biology, Audiology and Neurotology, PLoS ONE and Journal of Cellular Physiology.

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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