Xin Cheng

1.0k total citations
31 papers, 760 citations indexed

About

Xin Cheng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Xin Cheng has authored 31 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in Xin Cheng's work include Electrochemical Analysis and Applications (6 papers), Electrochemical sensors and biosensors (5 papers) and Alzheimer's disease research and treatments (5 papers). Xin Cheng is often cited by papers focused on Electrochemical Analysis and Applications (6 papers), Electrochemical sensors and biosensors (5 papers) and Alzheimer's disease research and treatments (5 papers). Xin Cheng collaborates with scholars based in Canada, China and Japan. Xin Cheng's co-authors include Kağan Kerman, Tatsuro Endo, Anthony J. Veloso, Changqing Yi, Yi Pan, Yupeng Shi, Zhaomin Zhang, Mei‐Jin Li, Junying Chen and Lulu Zhang and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Journal of The Electrochemical Society.

In The Last Decade

Xin Cheng

30 papers receiving 753 citations

Peers

Xin Cheng
Comparison fields: 5 of 97
  • Molecular Biology 277
  • Materials Chemistry 167
  • Biomedical Engineering 129
  • Physiology 124
  • Electrical and Electronic Engineering 112
Replace Yen Nguyen with:
Yen Nguyen United States
Zulfiya Orynbayeva United States
Yuting Chen China
Pritha Bagchi United States
Pui Shan Chan Hong Kong
Bryan F. Shaw United States
Tobias Abel Germany
Xinwei Li China
James A. Roe United States
Danae Christodoulou United States
Yen Nguyen United States View profile →
Citations per field, relative to Xin Cheng
Xin Cheng · 1×
Citations per year, relative to Xin Cheng
Xin Cheng · 1×

Countries citing papers authored by Xin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Xin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Cheng. A scholar is included among the top collaborators of Xin Cheng 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 Xin Cheng. Xin Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 0
5 8
6 4
7 5
8 16
9 46
10 29
11 1
12 1
13 36
14 5
15 40
16 24
17 77
18 20
19 22
20 7

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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