Yanshu Wang
Impact in
-
- Axon Guidance and Neuronal Signaling
- Molecular Biology top 0.5%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Developmental Biology and Gene Regulation
- Retinal Development and Disorders
- Kruppel-like factors research
Papers in
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- Hepatocellular Carcinoma Treatment and Prognosis 8
- Urology 6
- Co-authors
- Jeremy NathansPhilip M. SmallwoodJennifer P. MackeNini GuoAmir RattnerTudor C. BadeaPurnima BhanotDeborah J. Andrew
- Journals
- Development (7 papers)Journal of Neuroscience (6 papers)Cell (4 papers)Proceedings of the National Academy of Sciences (4 papers)Neuron (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Yanshu Wang
81 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cellular and Molecular Neuroscience 1.8k
- Molecular Biology 6.7k
- Cell Biology 1.5k
- Developmental Neuroscience 347
- Neurology 632
Countries citing papers authored by Yanshu Wang
This map shows the geographic impact of Yanshu 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 Yanshu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanshu Wang more than expected).
Fields of papers citing papers by Yanshu Wang
This network shows the impact of papers produced by Yanshu 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 Yanshu Wang. The network helps show where Yanshu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanshu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 1 | |
| 7 | Can corporate digital transformation alleviate financial distress? Hit paper breakdown → | 2023 | 93 |
| 8 | 2022 | 6 | |
| 9 | 2020 | 10 | |
| 10 | BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training | 2018 | 17 |
| 11 | 2018 | 107 | |
| 12 | 2016 | 19 | |
| 13 | 2015 | 18 | |
| 14 | 2014 | 16 | |
| 15 | 2009 | 46 | |
| 16 | 2008 | 53 | |
| 17 | 2006 | 419 | |
| 18 | 2003 | 451 | |
| 19 | 2001 | 121 | |
| 20 | 1994 | 55 |
About Yanshu Wang
Yanshu Wang is a scholar working on Hepatology, Urology, Cell Biology, Developmental Neuroscience and Molecular Biology, having authored 85 papers that have together received 9.0k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (27 papers), Developmental Biology and Gene Regulation (13 papers), Axon Guidance and Neuronal Signaling (10 papers), Nanoplatforms for cancer theranostics (9 papers), Cancer-related gene regulation (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Liver Disease Diagnosis and Treatment (6 papers) and Retinal Development and Disorders (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Molecular Biology (6.7k citations), Cell Biology (1.5k citations), Developmental Neuroscience (347 citations) and Neurology (632 citations). Yanshu Wang has collaborated with scholars based in United States, China and France. Frequent co-authors include Jeremy Nathans, Philip M. Smallwood, Jennifer P. Macke, Nini Guo, Amir Rattner, Tudor C. Badea, Purnima Bhanot, Deborah J. Andrew, Roel Nusse and Marcel R.M. van den Brink. Their work appears in journals such as Development, Journal of Neuroscience, Cell, Proceedings of the National Academy of Sciences and Neuron.
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.