Bang Wang

668 citations
23 papers · 485 · h-index 14

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 9
    • RNA and protein synthesis mechanisms 6
    • RNA Interference and Gene Delivery 6
    • CRISPR and Genetic Engineering 6
    • Fungal and yeast genetics research 5
    • Microbial Metabolic Engineering and Bioproduction 4
    • DNA and Nucleic Acid Chemistry 3

Bang Wang

23 papers receiving 484 citations

Peers

Bang Wang
Comparison fields: 5 of 61
  • Aging 17
  • Business and International Management 14
  • Molecular Biology 419
  • Biotechnology 38
  • Biomedical Engineering 168
Replace Dana C. Nadler with:
Dana C. Nadler United States
Narayana Annaluru United States
Astrid Weninger Austria
Tawsif Ahmed Kazi India
Maik Reschke Germany
Jie Qiao China
Mubasher Zahir Hoque Saudi Arabia
Kazunori Kume Japan
Elena Cámara Spain
Szilvia Kiriakov United States
Bang Wang relative to Dana C. Nadler United States Dana C. Nadler's profile →
Citations per field
00.5×1.5×1.9×
Dana C. Nadler · 1×
Citations per year

Countries citing papers authored by Bang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201762
2 202056
3 201846
4 202044
5 201433
6 201532
7 201430
8 201522
9 201921
10 202120
11 202020
12 202119
13 201918
14 202414
15 202412
16 201811
17 20147
18 20197
19 20245
20 20173

About Bang Wang

Bang Wang is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Nephrology, having authored 23 papers that have together received 485 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), RNA and protein synthesis mechanisms (6 papers), RNA Interference and Gene Delivery (6 papers), CRISPR and Genetic Engineering (6 papers), Fungal and yeast genetics research (5 papers), Biofuel production and bioconversion (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Aging (17 citations), Business and International Management (14 citations), Molecular Biology (419 citations), Biotechnology (38 citations) and Biomedical Engineering (168 citations). Bang Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chaoguang Tian, Pengli Cai, Jingen Li, Yanhe Ma, Jingfang Gao, Xiaoyun Han, Jianbo He, Yulin Li, Feng Gu and Zhaoxiang Deng. Their work appears in journals such as Journal of Biological Chemistry, Biotechnology for Biofuels, Angewandte Chemie International Edition, Nature Communications and National Science Review.

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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