Hsin‐Neng Wang

2.7k citations
48 papers · 1.6k · h-index 25

Impact in

Papers in

Hsin‐Neng Wang

46 papers receiving 1.6k citations

Peers

Hsin‐Neng Wang
Comparison fields: 5 of 85
  • Electronic, Optical and Magnetic Materials 1.0k
  • Biophysics 261
  • Biomedical Engineering 1.0k
  • Molecular Biology 933
  • Materials Chemistry 295
Replace Hyangah Chon with:
Hyangah Chon South Korea
Kevin M. Koo Australia
Michael Y. Sha United States
Andrew M. Fales United States
Michael J. R. Previte United States
Lijia Liang China
Selena Chan United States
Si Hoon Lee United States
Hana Šípová Czechia
Hsin‐Neng Wang relative to Hyangah Chon South Korea Hyangah Chon's profile →
Citations per field
00.5×3.8×
Hyangah Chon · 1×
Citations per year

Countries citing papers authored by Hsin‐Neng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Neng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hsin‐Neng Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hsin‐Neng Wang Line = papers co-authored together Hsin‐Neng Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009172
2 2013117
3 2013108
4 2009105
5 201097
6 201495
7 201695
8 201576
9 201471
10 201550
11 201348
12 202442
13 201441
14 201939
15 201835
16 201033
17 201132
18 201531
19 201330
20 201930

About Hsin‐Neng Wang

Hsin‐Neng Wang is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials, Biomedical Engineering, Biophysics and Materials Chemistry, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (44 papers), Gold and Silver Nanoparticles Synthesis and Applications (40 papers), Biosensors and Analytical Detection (23 papers), Plasmonic and Surface Plasmon Research (9 papers), RNA Interference and Gene Delivery (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Advanced Biosensing Techniques and Applications (3 papers) and Nanopore and Nanochannel Transport Studies (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.0k citations), Biophysics (261 citations), Biomedical Engineering (1.0k citations), Molecular Biology (933 citations) and Materials Chemistry (295 citations). Hsin‐Neng Wang has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Tuan Vo‐Dinh, Andrew M. Fales, Hoan T. Ngo, Jonathan Scaffidi, Stephen J. Norton, Bridget M. Crawford, Janna K. Register, Yang Liu, Hsiangkuo Yuan and Christopher G. Khoury. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Analytical Chemistry, Biosensors and Bioelectronics, The Analyst and Nanomedicine Nanotechnology Biology and Medicine.

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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