Yiting Ji

410 citations
18 papers · 293 · h-index 8

Impact in

Papers in

    • Autism Spectrum Disorder Research 5
    • Genetics and Neurodevelopmental Disorders 4
    • Genomic variations and chromosomal abnormalities 2

Yiting Ji

16 papers receiving 288 citations

Peers

Yiting Ji
Comparison fields: 5 of 82
  • Cognitive Neuroscience 149
  • Psychiatry and Mental health 79
  • Genetics 88
  • Cellular and Molecular Neuroscience 54
  • Developmental Neuroscience 8
Replace Katharina Mangus with:
Katharina Mangus Germany
Martin Heasman United Kingdom
Yukti Vyas New Zealand
Shiqi Guang China
Laura Ajram United Kingdom
Claudia Émond Canada
David M. James United States
Diptendu Chatterjee India
James Jeffrey Bradstreet Italy
Judith Bluvstein United States
Yiting Ji relative to Katharina Mangus Germany Katharina Mangus's profile →
Citations per field
00.5×3.8×
Katharina Mangus · 1×
Citations per year

Countries citing papers authored by Yiting Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yiting Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202087
2 202062
3 202129
4 201921
5 202219
6 202118
7 201914
8 20217
9 20187
10 20226
11 20235
12 20225
13 20234
14 20244
15 20223
16 20202
17 20250
18 20250

About Yiting Ji

Yiting Ji is a scholar working on Cognitive Neuroscience, Genetics, Psychiatry and Mental health, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 293 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (5 papers), Attention Deficit Hyperactivity Disorder (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Obesity, Physical Activity, Diet (3 papers), Neuroscience and Neural Engineering (2 papers), Birth, Development, and Health (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Cognitive Neuroscience (149 citations), Psychiatry and Mental health (79 citations), Genetics (88 citations), Cellular and Molecular Neuroscience (54 citations) and Developmental Neuroscience (8 citations). Yiting Ji has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Kai Wang, Qiang Luo, Mingyu Xu, Xiujuan Du, Fēi Li, Juehua Yu, Shining Deng, Jianfeng Feng, Barbara J. Sahakian and Lingli Zhang. Their work appears in journals such as BMC Pediatrics, Translational Psychiatry, Bioscience Reports, BMJ Open and Frontiers in Psychiatry.

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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