James Yi

34 papers receiving 661 citations

Peers

James Yi
Comparison fields: 5 of 91
  • Cognitive Neuroscience 185
  • Genetics 178
  • Molecular Biology 413
  • Psychiatry and Mental health 79
  • Epidemiology 174
Replace Antonio Tartaglione with:
Antonio Tartaglione Italy
Niyazi Acer Türkiye
Catherine Delanöe France
Wang Kang China
Hua Lin China
Cristina Embid Spain
Koushi Harada Japan
Christopher A. Girkin United States
Hisaharu Suzuki Japan
J. P. Deruaz Switzerland
James Yi relative to Antonio Tartaglione Italy Antonio Tartaglione's profile →
Citations per field
00.5×3.3×
Antonio Tartaglione · 1×
Citations per year

Countries citing papers authored by James Yi

Since Specialization
Citations

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

Fields of papers citing papers by James Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201397
2 201472
3 201450
4 201444
5 201640
6 201635
7 201432
8 200231
9 201329
10 201722
11 201421
12 201418
13 201518
14 201218
15 201617
16 201215
17 201615
18 202114
19 201314
20 20149

About James Yi

James Yi is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Computational Mechanics and Fluid Flow and Transfer Processes, having authored 35 papers that have together received 667 indexed citations. Recurring topics across this work include Congenital heart defects research (15 papers), Congenital Heart Disease Studies (9 papers), Combustion and flame dynamics (8 papers), Advanced Combustion Engine Technologies (8 papers), Coronary Artery Anomalies (8 papers), Vehicle emissions and performance (6 papers), Turbomachinery Performance and Optimization (6 papers) and Autism Spectrum Disorder Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (185 citations), Genetics (178 citations), Molecular Biology (413 citations), Psychiatry and Mental health (79 citations) and Epidemiology (174 citations). James Yi has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Monica E. Calkins, Raquel E. Gur, Elaine H. Zackai, Donna M. McDonald‐McGinn, Beverly S. Emanuel, Ruben C. Gur, Margaret C. Souders, Sunny X. Tang, Daneen Whinna and Christian G. Kohler. Their work appears in journals such as International Journal of Engine Research, Biological Psychiatry, Schizophrenia Research, American Journal of Medical Genetics Part B Neuropsychiatric Genetics and Current Psychiatry Reports.

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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