Yingkai Zhang

137 papers receiving 9.8k citations

Hit Papers

Comment on “Generalized Gradient Approximation Made Simple”19982026200720161998199850010001.5k2.0k

Peers

Yingkai Zhang
Comparison fields: 5 of 165
  • Molecular Biology 3.9k
  • Atomic and Molecular Physics, and Optics 2.9k
  • Materials Chemistry 2.8k
  • Organic Chemistry 1.3k
  • Computational Theory and Mathematics 1.2k
Replace Thomas Fox with:
Thomas Fox Germany
Pedro E. M. Lopes United States
Eva Zurek United States
Edward Harder United States
Klaus R. Liedl Austria
Chris Oostenbrink Austria
David C. Spellmeyer United States
Kenno Vanommeslaeghe United States
Romain M. Wolf Switzerland
Qiang Cui United States
Yingkai Zhang relative to Thomas Fox Germany Thomas Fox's profile →
Citations per field
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Thomas Fox · 1×
Citations per year

Countries citing papers authored by Yingkai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yingkai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingkai Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingkai Zhang. A scholar is included among the top collaborators of Yingkai Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingkai Zhang. Yingkai Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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7 16
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9 31
10 112
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12 42
13 36
14
Computational Simulations of Zinc Enzyme: Challenges and Recent Advances
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15 31
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Anti-metabolic syndrome effect of Licorice flavonoid dispersible tablets in a high fat diet-induced obesity/ type 2 diabetes mouse model
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17 44
18 25
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The temporal change of bone marrow fat cells in the process of steroid-associated osteonecrosis development
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20 45

About Yingkai Zhang

Yingkai Zhang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Geriatrics and Gerontology, having authored 150 papers that have together received 9.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (33 papers), Computational Drug Discovery Methods (31 papers) and Advanced Chemical Physics Studies (17 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.9k citations), Physical and Theoretical Chemistry (763 citations) and Computational Theory and Mathematics (1.2k citations). Yingkai Zhang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Weitao Yang, J. Andrew McCammon, Shenglong Wang, Po Hu, Haiyan Liu, Paul W. Ayers, Yanzi Zhou, Jeremy Kua, Tai‐Sung Lee and Cheng Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

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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