Yuzhou Chang

3.1k citations
44 papers · 1.5k indexed · 1 hit paper · h-index 20
Topics
Single-cell and spatial transcriptomics (11 papers)Glioma Diagnosis and Treatment (7 papers)Gene expression and cancer classification (6 papers)

In The Last Decade

Yuzhou Chang

40 papers receiving 1.5k citations

Hit Papers

scGNN is a novel graph neural network framework for singl...2021202620222024202150100150200250

Peers

Yuzhou Chang
Comparison fields: 5 of 109
  • Molecular Biology 1.0k
  • Cancer Research 425
  • Immunology 187
  • Genetics 179
  • Neurology 138
Replace Sven Nelander with:
Sven Nelander Sweden
Sanja Vicković Sweden
Alexandra Keenan United States
Ellen Gelfand United States
Patrick J. Cimino United States
Jiarui Ding Canada
Tarmo Äijö United States
Xiaoying Fan China
José Fernández Navarro Sweden
Amy Tang United States
Yuzhou Chang relative to Sven Nelander Sweden Sven Nelander's profile →
Citations per field
00.5×3.5×
Sven Nelander · 1×
Citations per year

Countries citing papers authored by Yuzhou Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yuzhou Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzhou Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuzhou Chang. A scholar is included among the top collaborators of Yuzhou Chang 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 Yuzhou Chang. Yuzhou Chang 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
#WorkIndexed citations
1 1
2 18
3 9
4 14
5 1
6 18
7 115
8 20
9 64
10 5
11
scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesbreakdown →
250
12 24
13 119
14 124
15 44
16 8
17 163
18
IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq
1
19 27
20 8

About Yuzhou Chang

Yuzhou Chang is a scholar working on Cancer Research, Genetics and Biophysics, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (11 papers), Glioma Diagnosis and Treatment (7 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Cancer Research (425 citations), Biophysics (112 citations) and Genetics (179 citations). Yuzhou Chang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qin Ma, Anjun Ma, Ruichao Chai, Yongzhi Wang, Kenan Zhang, Tao Jiang, Hongjun Fu, Adam McDermaid, Cankun Wang and Dong Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

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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