James Yi

35 papers receiving 850 citations

Peers

James Yi
Comparison fields: 5 of 97
  • Epidemiology 246
  • Molecular Biology 446
  • Cognitive Neuroscience 100
  • Genetics 138
  • Psychiatry and Mental health 63
Replace Zhi Song with:
Zhi Song China
Tomohiko Ohshita Japan
Shutaro Takashima Japan
E B Ringelstein Germany
Jeffrey G. Odel United States
Xing‐Chang Wei Canada
Fábio A. Nascimento United States
Penny Fallon United Kingdom
Mikael von und zu Fraunberg Finland
Joshua P. Klein 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 2009174
2 2013101
3 201473
4 201452
5 201445
6 201641
7 201635
8 201433
9 201333
10 200232
11 201722
12 201422
13 201219
14 201418
15 201518
16 201617
17 201217
18 201616
19 202115
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 863 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 (246 citations), Molecular Biology (446 citations), Cognitive Neuroscience (100 citations), Genetics (138 citations) and Psychiatry and Mental health (63 citations). James Yi has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Monica E. Calkins, Beverly S. Emanuel, Ruben C. Gur, Donna M. McDonald‐McGinn, Elaine H. Zackai, Raquel E. Gur, Margaret C. Souders, Sunny X. Tang, Daneen Whinna and Todd Schraw. Their work appears in journals such as International Journal of Engine Research, Schizophrenia Research, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, European Neuropsychopharmacology 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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