Xiaoxin Cheng

1.2k citations
28 papers · 936 · h-index 17

Impact in

Papers in

Xiaoxin Cheng

28 papers receiving 929 citations

Peers

Xiaoxin Cheng
Comparison fields: 5 of 83
  • Developmental Neuroscience 264
  • Pathology and Forensic Medicine 229
  • Neurology 107
  • Cellular and Molecular Neuroscience 237
  • Genetics 90
Replace Ting‐Hua Wang with:
Ting‐Hua Wang China
George Trendelenburg Germany
Yimin Yuan China
Antonio Vinciguerra Italy
Aryn Schloemer United States
Lauren Martins Valentim Brazil
Britta Kaltwasser Germany
Dawei Zang China
Gregor Tomasevic Sweden
Fen Sun China
Xiaoxin Cheng relative to Ting‐Hua Wang China Ting‐Hua Wang's profile →
Citations per field
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Ting‐Hua Wang · 1×
Citations per year

Countries citing papers authored by Xiaoxin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010166
2 2011141
3 2007113
4 200467
5 200253
6 201836
7 200535
8 201333
9 200930
10 200630
11 201729
12 201628
13 202124
14 201920
15 200420
16 202318
17 202316
18 201616
19 201515
20 201411

About Xiaoxin Cheng

Xiaoxin Cheng is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 936 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related gene regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Nerve injury and regeneration (3 papers) and Spinal Dysraphism and Malformations (2 papers). The work is most often cited by research in Developmental Neuroscience (264 citations), Pathology and Forensic Medicine (229 citations), Neurology (107 citations), Cellular and Molecular Neuroscience (237 citations) and Genetics (90 citations). Xiaoxin Cheng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qilin Cao, Yaping Wang, Scott R. Whittemore, Qian He, Dong Kim, Yiyan Zheng, Qing‐You Kong, Mengsheng Qiu, Jia Liu and Yuan Sun. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Neuroscience, Experimental Neurology, Cancer Letters and PeerJ.

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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