Daniel I. C. Wang

9 total papers · 979 total citations
9 papers, 775 citations indexed

About

Daniel I. C. Wang is a scholar working on Biomedical Engineering, Molecular Biology and Pollution. According to data from OpenAlex, Daniel I. C. Wang has authored 9 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 3 papers in Molecular Biology and 2 papers in Pollution. Recurrent topics in Daniel I. C. Wang's work include Fluid Dynamics and Mixing (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Daniel I. C. Wang is often cited by papers focused on Fluid Dynamics and Mixing (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Daniel I. C. Wang collaborates with scholars based in United States, Singapore and China. Daniel I. C. Wang's co-authors include Jianping Xie, Jim Yang Lee, Yen‐Peng Ting, Liangzhi Xie, James D. McMillan, Lev Bromberg, T. Alan Hatton, Şeyda Bucak, Qian Liu and Keqin Chen and has published in prestigious journals such as Annals of the New York Academy of Sciences, Small and Industrial & Engineering Chemistry Research.

In The Last Decade

Daniel I. C. Wang

9 papers receiving 750 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel I. C. Wang	332	275	256	92	80	9	775
Mohammad Barkhi	535 1.6×	203 0.7×	328 1.3×	58 0.6×	129 1.6×	16	846
Nagender Reddy Panyala	271 0.8×	515 1.9×	90 0.4×	77 0.8×	32 0.4×	17	820
Pravin Raj Solomon	421 1.3×	205 0.7×	332 1.3×	37 0.4×	215 2.7×	19	840
Huiling Li	400 1.2×	180 0.7×	70 0.3×	134 1.5×	93 1.2×	18	662
Scott R. Rudge	315 0.9×	128 0.5×	226 0.9×	32 0.3×	31 0.4×	18	670
Pengchang Liu	272 0.8×	369 1.3×	96 0.4×	77 0.8×	89 1.1×	17	747
Jia Luo	582 1.8×	120 0.4×	111 0.4×	23 0.3×	315 3.9×	12	755
Peijun Ji	284 0.9×	223 0.8×	270 1.1×	19 0.2×	49 0.6×	14	668
Heidi M. Pilath	458 1.4×	60 0.2×	170 0.7×	51 0.6×	72 0.9×	15	636
Seval Genç	284 0.9×	105 0.4×	71 0.3×	19 0.2×	94 1.2×	21	686

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

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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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