James Yi

35 papers receiving 834 citations

Peers

James Yi
Comparison fields: 5 of 97
  • Epidemiology 232
  • Molecular Biology 434
  • Cognitive Neuroscience 99
  • Genetics 134
  • Psychiatry and Mental health 60
Replace Zhi Song with:
Zhi Song China
Tomohiko Ohshita Japan
Shutaro Takashima Japan
Mikael von und zu Fraunberg Finland
Penny Fallon United Kingdom
Xing‐Chang Wei Canada
Joshua P. Klein United States
Antonio Tartaglione Italy
Satoru Ohashi Japan
Brian Y. Hwang United States
James Yi relative to Zhi Song China Zhi Song's profile →
Citations per field
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Zhi Song · 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009170
2 201397
3 201472
4 201450
5 201445
6 201640
7 201635
8 201433
9 200232
10 201329
11 201722
12 201421
13 201418
14 201218
15 201518
16 201617
17 201616
18 202115
19 201215
20 201314

About James Yi

James Yi is a scholar working on Molecular Biology, Computational Mechanics, Fluid Flow and Transfer Processes, Aerospace Engineering and Automotive Engineering, having authored 36 papers that have together received 843 indexed citations. Recurring topics across this work include Congenital heart defects research (15 papers), Combustion and flame dynamics (8 papers), Advanced Combustion Engine Technologies (8 papers), Vehicle emissions and performance (6 papers), Coronary Artery Anomalies (6 papers), Turbomachinery Performance and Optimization (6 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Epidemiology (232 citations), Molecular Biology (434 citations), Cognitive Neuroscience (99 citations), Genetics (134 citations) and Psychiatry and Mental health (60 citations). James Yi has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Monica E. Calkins, Ruben C. Gur, Donna M. McDonald‐McGinn, Elaine H. Zackai, Beverly S. Emanuel, Raquel E. Gur, Margaret C. Souders, Sunny X. Tang, Daneen Whinna and Nils Halberg. Their work appears in journals such as International Journal of Engine Research, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Schizophrenia Research, European Neuropsychopharmacology and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

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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