Sheng Yi

3.9k citations
97 papers · 2.7k · h-index 31

Impact in

Papers in

Sheng Yi

92 papers receiving 2.7k citations

Peers

Sheng Yi
Comparison fields: 5 of 118
  • Developmental Neuroscience 282
  • Cellular and Molecular Neuroscience 933
  • Reproductive Medicine 367
  • Cancer Research 415
  • Rehabilitation 136
Replace Hoon‐Ki Sung with:
Hoon‐Ki Sung Canada
Boris Greber Germany
Esther López‐Bayghen Mexico
Yasuhiro Tomooka Japan
Maria A. Ciemerych Poland
Sheila M. Bell United States
Guangjin Pan China
Sabine Conrad Germany
Satish Totey India
Natalia V. Botchkareva United States
Sheng Yi relative to Hoon‐Ki Sung Canada Hoon‐Ki Sung's profile →
Citations per field
00.5×5.1×
Hoon‐Ki Sung · 1×
Citations per year

Countries citing papers authored by Sheng Yi

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007179
2 2018152
3 2017141
4 2004137
5 201696
6 201582
7 201577
8 200670
9 201670
10 201669
11 202069
12 201358
13 201655
14 201754
15 201152
16 201950
17 201947
18 201746
19 201445
20 202344

About Sheng Yi

Sheng Yi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Cancer Research and Reproductive Medicine, having authored 97 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nerve injury and regeneration (48 papers), Neurogenesis and neuroplasticity mechanisms (18 papers), Signaling Pathways in Disease (13 papers), Sperm and Testicular Function (11 papers), Reproductive Biology and Fertility (11 papers), Wound Healing and Treatments (10 papers), Circular RNAs in diseases (10 papers) and Axon Guidance and Neuronal Signaling (10 papers). The work is most often cited by research in Developmental Neuroscience (282 citations), Cellular and Molecular Neuroscience (933 citations), Reproductive Medicine (367 citations), Cancer Research (415 citations) and Rehabilitation (136 citations). Sheng Yi has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Xiaosong Gu, Maria Dufau, Shiying Li, Chon‐Hwa Tsai‐Morris, Lai Xu, Xinghui Wang, Qianyan Liu, Qianqian Chen, Jun Yu and Bin Yu. Their work appears in journals such as Molecular Neurobiology, Molecular and Cellular Biochemistry, Journal of Biological Chemistry, Biology of Reproduction and PLoS ONE.

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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