Modi Wang

2.0k citations
44 papers · 1.8k · h-index 23

Impact in

    • Molecular Sensors and Ion Detection
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • RNA Interference and Gene Delivery

Papers in

    • Advanced biosensing and bioanalysis techniques 21
    • DNA and Nucleic Acid Chemistry 17
    • RNA Interference and Gene Delivery 11
    • interferon and immune responses 6

Modi Wang

44 papers receiving 1.8k citations

Peers

Modi Wang
Comparison fields: 5 of 104
  • Spectroscopy 328
  • Molecular Biology 1.1k
  • Electrochemistry 73
  • Immunology 228
  • Bioengineering 59
Replace Amanda L. Garner with:
Amanda L. Garner United States
Lihua Lu China
Amanda E. Hargrove United States
Qi-Yin Chen United States
Florence Gonnet France
Liang He China
Sheng Lin Hong Kong
Ya Cao China
Yusuke Sato Japan
Takayo Inoue United States
Modi Wang relative to Amanda L. Garner United States Amanda L. Garner's profile →
Citations per field
00.5×2×3×4.1×
Amanda L. Garner · 1×
Citations per year

Countries citing papers authored by Modi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Modi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Modi 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 Modi Wang Line = papers co-authored together Modi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 2016153
3 2016115
4 2018114
5 2015108
6 201991
7 201679
8 201471
9 201570
10 201568
11 201556
12 201652
13 201649
14 201545
15 201544
16 201442
17 201540
18 201537
19 201334
20 201633

About Modi Wang

Modi Wang is a scholar working on Molecular Biology, Immunology, Oncology, Spectroscopy and Materials Chemistry, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (21 papers), DNA and Nucleic Acid Chemistry (17 papers), RNA Interference and Gene Delivery (11 papers), Molecular Sensors and Ion Detection (7 papers), interferon and immune responses (6 papers), Metal complexes synthesis and properties (5 papers), Click Chemistry and Applications (3 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Spectroscopy (328 citations), Molecular Biology (1.1k citations), Electrochemistry (73 citations), Immunology (228 citations) and Bioengineering (59 citations). Modi Wang has collaborated with scholars based in Hong Kong, Macao and United States. Frequent co-authors include Dik‐Lung Ma, Chung‐Hang Leung, Lihua Lu, Herman O. Sintim, Tian‐Shu Kang, Lijuan Liu, Wanhe Wang, Zhifeng Mao, Hai‐Jing Zhong and Daniel Shiu‐Hin Chan. Their work appears in journals such as Scientific Reports, Methods, Chemical Communications, Journal of Materials Chemistry B 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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