Daniel I. C. Wang

1.5k citations
16 papers · 1.2k indexed · h-index 15
Topics
Viral Infectious Diseases and Gene Expression in Insects (13 papers)Electrohydrodynamics and Fluid Dynamics (5 papers)Glycosylation and Glycoproteins Research (4 papers)
Partner nations
United StatesIndiaTaiwan

In The Last Decade

Daniel I. C. Wang

16 papers receiving 1.1k citations

Peers

Daniel I. C. Wang
Comparison fields: 5 of 96
  • Molecular Biology 749
  • Biomedical Engineering 554
  • Genetics 119
  • Surgery 118
  • Biomaterials 99
Replace Matthew S. Croughan with:
Matthew S. Croughan United States
Katherine A. Kentistou United Kingdom
Jean‐François P. Hamel United States
Ran He China
Kazuo Fujiwara Japan
Kenichi Morimoto Japan
Jordi J. Cairó Spain
Jeni Luckett United Kingdom
S. Narayanan India
Xiaobo Gong China
Daniel I. C. Wang relative to Matthew S. Croughan United States Matthew S. Croughan's profile →
Citations per field
00.5×1.5×2.4×
Matthew S. Croughan · 1×
Citations per year

Countries citing papers authored by Daniel I. C. Wang

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 Daniel 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 Daniel I. C. Wang more than expected).

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel I. C. Wang. A scholar is included among the top collaborators of Daniel 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 Daniel I. C. Wang. Daniel I. C. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 19
2 3
3 18
4 99
5 102
6 34
7 30
8 49
9 18
10 110
11 33
12 76
13 77
14 280
15 118
16 87

About Daniel I. C. Wang

Daniel I. C. Wang is a scholar working on Biomedical Engineering, Molecular Biology and Fluid Flow and Transfer Processes, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (13 papers), Electrohydrodynamics and Fluid Dynamics (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Biomedical Engineering (554 citations), Molecular Biology (749 citations) and Biotechnology (90 citations). Daniel I. C. Wang has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Matthew S. Croughan, Jean‐François P. Hamel, David Levine, William G. Thilly, R. Robert Balcarcel, Gregg Nyberg, Gregory Stephanopoulos, Brian D. Follstad, Xuejun Gu and Bryan J. Harmon. Their work appears in journals such as Biotechnology and Bioengineering, IBM Journal of Research and Development and Somatic Cell and Molecular Genetics.

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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