The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where James J. Feng sits on this spectrum.
This scientist: 196 publications — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where James J. Feng sits on this spectrum.
This scientist: 57 D-Index — 74th percentile
74% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
James J. Feng is affiliated with the University of British Columbia in Canada and has contributed extensively to multiple fields of study, primarily in engineering and biochemistry, genetics, and molecular biology. Their research spans a variety of subfields, including computational mechanics, biomedical engineering, cell biology, molecular biology, and pulmonary and respiratory medicine.
Their recent publications cover a range of topics and venues, reflecting a multidisciplinary approach. Key papers include:
The frequent topics covered in their work highlight a focus on the mechanics and interactions at the cellular and molecular level, as well as the use of advanced simulation methods and biomedical technology, including:
James J. Feng has collaborated frequently with a set of co-authors, contributing to joint research efforts in overlapping or complementary fields. These frequent collaborators include Pengtao Yue, Zelai Xu, Sarah Hedtrich, Don D. Sin, and Jiaqi Zhang.
Their work has been disseminated in several notable scientific venues, with multiple publications appearing in:
Throughout their career, James J. Feng has maintained a research focus that integrates engineering principles with biomedical and molecular biology concepts, employing computational and experimental methods to address complexities in cellular mechanics, fluid interfaces, and biomedical device simulation.
Pengtao Yue;James J. Feng;Chun Liu;Jie Shen
James Feng;Howard H. Hu;Daniel D. Joseph
James Feng;Howard H. Hu;Daniel D. Joseph
J. J. Feng
Pengtao Yue;Chunfeng Zhou;James J. Feng;Carl F. Ollivier-Gooch
Pengtao Yue;Chunfeng Zhou;James J. Feng
J.J. Feng
Pengtao Yue;Chunfeng Zhou;James J. Feng
Xiaofeng Yang;James J. Feng;Chun Liu;Jie Shen
Chunfeng Zhou;Pengtao Yue;James J. Feng
Fangjie Liu;Giovanni Ghigliotti;James J. Feng;Chuan-Hua Chen
J. Feng;S. Weinbaum
D. D. Joseph;Y. J. Liu;Massimo Poletto;J. Feng
Zhenhua Xia;Kevin W. Connington;Saikiran Rapaka;Pengtao Yue
S. Majid Hosseini;James J. Feng
Hui Gan;Jianzhong Chang;James J. Feng;Howard H. Hu
P. Y. Huang;James J Feng;Howard H. Hu;Daniel D. Joseph
Pengtao Yue;James J. Feng;Chun Liu;Jie Shen
Chunfeng Zhou;Pengtao Yue;James J. Feng;Carl F. Ollivier-Gooch
J. Feng;C. V. Chaubal;L. G. Leal
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