Zhongshu Yang

779 total citations
9 papers, 655 citations indexed

About

Zhongshu Yang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Zhongshu Yang has authored 9 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Developmental Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Zhongshu Yang's work include Neurogenesis and neuroplasticity mechanisms (7 papers), Nerve injury and regeneration (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Zhongshu Yang is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (7 papers), Nerve injury and regeneration (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Zhongshu Yang collaborates with scholars based in United States, Switzerland and China. Zhongshu Yang's co-authors include Akiko Nishiyama, Masahiko Watanabe, Jie Bu, Arthur M. Butt, Sha Mi, Xinhua Lee, Zhaohui Shao, Stephen B. Daniels, Ryusuke Suzuki and Robert H. Miller and has published in prestigious journals such as Journal of Neuroscience, Industrial & Engineering Chemistry Research and AIChE Journal.

In The Last Decade

Zhongshu Yang

8 papers receiving 647 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zhongshu Yang United States	7	421	335	221	191	107	9	655
Hyung Joon Kim United States	8	349 0.8×	239 0.7×	362 1.6×	174 0.9×	118 1.1×	8	820
Yao Lulu Xing Australia	6	410 1.0×	182 0.5×	159 0.7×	231 1.2×	99 0.9×	10	584
Danielle Pham‐Dinh France	11	351 0.8×	216 0.6×	279 1.3×	180 0.9×	179 1.7×	12	750
G.L. Hinks United Kingdom	10	468 1.1×	219 0.7×	209 0.9×	215 1.1×	193 1.8×	10	677
Karine Magalon France	13	294 0.7×	138 0.4×	227 1.0×	140 0.7×	95 0.9×	19	565
Francesca Viganò Germany	8	493 1.2×	243 0.7×	393 1.8×	280 1.5×	52 0.5×	10	813
Yong‐Xing Zhou United States	12	423 1.0×	248 0.7×	552 2.5×	130 0.7×	138 1.3×	14	950
Klaus Armin Nave Germany	9	487 1.2×	433 1.3×	519 2.3×	219 1.1×	105 1.0×	10	1.1k
Gabrièle Piaton France	5	455 1.1×	251 0.7×	281 1.3×	263 1.4×	262 2.4×	5	788
Sarah Moyon United States	13	428 1.0×	168 0.5×	370 1.7×	333 1.7×	128 1.2×	16	825

Countries citing papers authored by Zhongshu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Zhongshu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongshu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongshu Yang. A scholar is included among the top collaborators of Zhongshu Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhongshu Yang. Zhongshu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Zhou, Han, et al.. (2025). Study on the Influencing Factors of Droplet Coalescence in a Mixing Tank. Industrial & Engineering Chemistry Research. 64(31). 15464–15477.

2.

Yang, Zhongshu, et al.. (2023). Measurement of droplet coalescence in a mixing tank. AIChE Journal. 70(4). 4 indexed citations

3.

Lee, Xinhua, Yinghui Hu, Yiping Zhang, et al.. (2011). Oligodendrocyte differentiation and myelination defects in OMgp null mice. Molecular and Cellular Neuroscience. 46(4). 752–761. 18 indexed citations

4.

Ji, Benxiu, Lauren C. Case, Kai Liu, et al.. (2008). Assessment of functional recovery and axonal sprouting in oligodendrocyte-myelin glycoprotein (OMgp) null mice after spinal cord injury. Molecular and Cellular Neuroscience. 39(2). 258–267. 48 indexed citations

5.

Lee, Xinhua, Zhongshu Yang, Zhaohui Shao, et al.. (2007). NGF Regulates the Expression of Axonal LINGO-1 to Inhibit Oligodendrocyte Differentiation and Myelination. Journal of Neuroscience. 27(1). 220–225. 133 indexed citations

6.

Yang, Zhongshu, et al.. (2006). NG2 Glial Cells Provide a Favorable Substrate for Growing Axons. Journal of Neuroscience. 26(14). 3829–3839. 106 indexed citations

7.

Yang, Zhongshu, Masahiko Watanabe, & Akiko Nishiyama. (2005). Optimization of oligodendrocyte progenitor cell culture method for enhanced survival. Journal of Neuroscience Methods. 149(1). 50–56. 63 indexed citations

8.

Nishiyama, Akiko, Zhongshu Yang, & Arthur M. Butt. (2005). Astrocytes and NG2‐glia: what's in a name?. Journal of Anatomy. 207(6). 687–693. 96 indexed citations

9.

Nishiyama, Akiko, Masahiko Watanabe, Zhongshu Yang, & Jie Bu. (2002). Identity, distribution, and development of polydendrocytes: NG2-expressing glial cells. Journal of Neurocytology. 31(6-7). 437 ppl=–455. 187 indexed citations

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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