Shijia Chen

916 total citations
35 papers, 637 citations indexed

About

Shijia Chen is a scholar working on Cognitive Neuroscience, Epidemiology and Molecular Biology. According to data from OpenAlex, Shijia Chen has authored 35 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 13 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Shijia Chen's work include Visual perception and processing mechanisms (9 papers), Ophthalmology and Visual Impairment Studies (7 papers) and Glaucoma and retinal disorders (4 papers). Shijia Chen is often cited by papers focused on Visual perception and processing mechanisms (9 papers), Ophthalmology and Visual Impairment Studies (7 papers) and Glaucoma and retinal disorders (4 papers). Shijia Chen collaborates with scholars based in China, Canada and United States. Shijia Chen's co-authors include David A. Prober, Cindy N. Chiu, Marong Fang, Grigorios Oikonomou, Xiaoxue Du, Daniel A. Lee, Zhiying Hu, Nashwa Amin, Justin Liu and Igor Antoshechkin and has published in prestigious journals such as Nucleic Acids Research, Neuron and Nature Methods.

In The Last Decade

Shijia Chen

33 papers receiving 635 citations

Peers

Shijia Chen
Comparison fields: 5 of 103
  • Molecular Biology 217
  • Cognitive Neuroscience 159
  • Epidemiology 138
  • Cell Biology 97
  • Neurology 83
Replace Liam P. Tuffy with:
Liam P. Tuffy Ireland
Jorune Balciuniene United States
Maximilian Michel Germany
Fabrice Morin France
Nicole A. R. Walter United States
Chiung-Ya Chen Taiwan
Fekrije Selimi France
Yvette Wilson Australia
Aaron J. Mercer United States
Ilaria Bertani Italy
Liam P. Tuffy Ireland View profile →
Citations per field, relative to Shijia Chen
Shijia Chen · 1×
Citations per year, relative to Shijia Chen
Shijia Chen · 1×

Countries citing papers authored by Shijia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shijia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijia Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shijia Chen. A scholar is included among the top collaborators of Shijia Chen 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 Shijia Chen. Shijia Chen 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 0
2 12
3 6
4 6
5 8
6 23
7 10
8 9
9 20
10 9
11 22
12 7
13 8
14 4
15 40
16 62
17
Genetic Identification of 25-Norhopanes
2
18 58
19 97
20
On The Mission of Multicultural Education in the Perspective of Globalization
1

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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