Bi‐Dar Wang

3.7k citations
81 papers · 3.2k · h-index 35

Impact in

Papers in

    • RNA Research and Splicing 9
    • Advanced biosensing and bioanalysis techniques 8
    • Molecular Sensors and Ion Detection 23

Bi‐Dar Wang

81 papers receiving 3.1k citations

Peers

Bi‐Dar Wang
Comparison fields: 5 of 114
  • Bioengineering 386
  • Spectroscopy 939
  • Electrochemistry 323
  • Oncology 830
  • Molecular Biology 1.3k
Replace Micaël Hardy with:
Micaël Hardy France
Biplob Koch India
Kehua Xu China
Yang Jiao China
Luling Wu China
Sheel C. Dodani United States
Timothy E. Glass United States
Juhye Kang South Korea
Yong Qian China
Bi‐Dar Wang relative to Micaël Hardy France Micaël Hardy's profile →
Citations per field
00.5×3.7×
Micaël Hardy · 1×
Citations per year

Countries citing papers authored by Bi‐Dar Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bi‐Dar Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007246
2 2005150
3 2018132
4 2006121
5 2010110
6 2011106
7 2014101
8 200892
9 201187
10 200581
11 201779
12 201477
13 201376
14 201574
15 200469
16 200964
17 201463
18 201563
19 199461
20 201859

About Bi‐Dar Wang

Bi‐Dar Wang is a scholar working on Molecular Biology, Spectroscopy, Oncology, Materials Chemistry and Organic Chemistry, having authored 81 papers that have together received 3.2k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (23 papers), Metal complexes synthesis and properties (16 papers), Luminescence and Fluorescent Materials (12 papers), Analytical Chemistry and Sensors (10 papers), RNA Research and Splicing (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), Prostate Cancer Treatment and Research (7 papers) and Electrochemical Analysis and Applications (6 papers). The work is most often cited by research in Bioengineering (386 citations), Spectroscopy (939 citations), Electrochemistry (323 citations), Oncology (830 citations) and Molecular Biology (1.3k citations). Bi‐Dar Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Zheng‐yin Yang, Tianrong Li, Jingcan Qin, Long Fan, P. Crewdson, Norman Lee, Alexander Strunnikov, Norman H. Lee, Qin Wang and Zeng-Chen Liu. Their work appears in journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Cancers, Sensors and Actuators B Chemical, International Journal of Molecular Sciences and Transition Metal Chemistry.

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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