Jianmin Wang

8.7k citations
93 papers · 6.0k indexed · 2 hit papers · h-index 27
Topics
Computational Drug Discovery Methods (20 papers)Machine Learning in Materials Science (11 papers)Protein Structure and Dynamics (9 papers)
Journals
Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Jianmin Wang

86 papers receiving 5.9k citations

Hit Papers

Generalized autocalibrating partially parallel acquisitio...20022026201020182002202210002.0k3.0k

Peers

Jianmin Wang
Comparison fields: 5 of 166
  • Radiology, Nuclear Medicine and Imaging 3.9k
  • Atomic and Molecular Physics, and Optics 946
  • Molecular Biology 670
  • Materials Chemistry 636
  • Spectroscopy 520
Replace Chien Ho with:
Chien Ho United States
Rudolf Stollberger Austria
Georges El Fakhri United States
Aart J. Nederveen Netherlands
Chrit Moonen Netherlands
Paul Glover United Kingdom
Lutz Trahms Germany
J. E. Tanner United States
Yoshiyuki Amemiya Japan
T. Kevin Hitchens United States
Jianmin Wang relative to Chien Ho United States Chien Ho's profile →
Citations per field
00.5×5.5×
Chien Ho · 1×
Citations per year

Countries citing papers authored by Jianmin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jianmin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianmin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianmin Wang. A scholar is included among the top collaborators of Jianmin Wang 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 Jianmin Wang. Jianmin Wang 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
1 0
2 2
3 5
4 0
5 8
6 3
7 4
8 5
9 4
10 21
11 15
12 38
13 3
14 35
15 42
16 36
17 3
18 57
19 4
20
Invasive Lobular Carcinomas Do Not Express Basal Cytokeratin Markers CK5/6, CK14 and CK17
1

About Jianmin Wang

Jianmin Wang is a scholar working on Computational Theory and Mathematics, Structural Biology and Polymers and Plastics, having authored 93 papers that have together received 6.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Machine Learning in Materials Science (11 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.9k citations), Spectroscopy (520 citations) and Atomic and Molecular Physics, and Optics (946 citations). Jianmin Wang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Peter M. Jakob, Mark A. Griswold, Robin M. Heidemann, Axel Haase, Vladimı́r Jellúš, Mathias Nittka, Berthold Kiefer, Xiangxiang Zeng, Jie Chen and Choon‐Hong Tan. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Bioinformatics.

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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