D. I. C. Wang

1.9k citations
41 papers · 1.5k indexed · h-index 23
Topics
Viral Infectious Diseases and Gene Expression in Insects (6 papers)Microbial Metabolic Engineering and Bioproduction (6 papers)Biofuel production and bioconversion (5 papers)
Partner nations
United StatesFranceSpain

In The Last Decade

D. I. C. Wang

39 papers receiving 1.4k citations

Peers

D. I. C. Wang
Comparison fields: 5 of 98
  • Molecular Biology 807
  • Biomedical Engineering 568
  • Mechanical Engineering 189
  • Biotechnology 182
  • Electrical and Electronic Engineering 117
Replace Jiří E. Přenosil with:
Jiří E. Přenosil Switzerland
Haruo Ishikawa Japan
José González‐Valdez Mexico
A.M. James Panama
Donald F. Gerson Canada
Sadettin S. Ozturk United States
M. Hoare United Kingdom
A. Datyner Australia
Santosh Noronha India
D. I. C. Wang relative to Jiří E. Přenosil Switzerland Jiří E. Přenosil's profile →
Citations per field
00.5×3.9×
Jiří E. Přenosil · 1×
Citations per year

Countries citing papers authored by D. I. C. Wang

Since Specialization
Citations

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

Fields of papers citing papers by D. I. C. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. I. C. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of D. I. C. Wang. A scholar is included among the top collaborators of D. I. C. 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 D. I. C. Wang. D. I. C. 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 1
2 1
3 0
4 24
5
Microrheology of Microtubule-Actin-Vimentin Composite Cytoskeletal Networks
1
6
Immobilization of Enzymes on Functionalized Magnetic Nanoparticles for Efficient Biocatalysis
2
7 109
8 22
9 62
10 119
11 30
12 26
13 34
14 77
15 58
16 65
17 14
18 22
19 7
20 33

About D. I. C. Wang

D. I. C. Wang is a scholar working on Biotechnology, Physical and Theoretical Chemistry and Biomedical Engineering, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Filtration and Separation (65 citations), Biotechnology (182 citations) and Biomedical Engineering (568 citations). D. I. C. Wang has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Anthony J. Sinskey, C. L. Cooney, T. Alan Hatton, R. I. Máteles, Wei‐Shou Hu, Juris J. Meier, Don Augenstein, Gregory Stephanopoulos, V. M. Yabannavar and Michael P. Thien. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

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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