Bangxing Wang

424 citations
13 papers · 327 · h-index 9

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 10
    • Mycobacterium research and diagnosis 9
    • Pneumocystis jirovecii pneumonia detection and treatment 1

Bangxing Wang

12 papers receiving 323 citations

Peers

Bangxing Wang
Comparison fields: 5 of 51
  • Infectious Diseases 205
  • Molecular Medicine 34
  • Epidemiology 140
  • Molecular Biology 170
  • Organic Chemistry 64
Replace Zuzana Svetlíková with:
Zuzana Svetlíková Slovakia
Moses Njire China
Manju Yasoda Krishnan India
Susana David Portugal
Yoshimasa Ishizaki Japan
Jickky Palmae Sarathy United States
Kunio Inoue Japan
Edward Kazyanskaya United States
Mai A. Bailey United States
Tanvi Shekhar‐Guturja Canada
Bangxing Wang relative to Zuzana Svetlíková Slovakia Zuzana Svetlíková's profile →
Citations per field
00.5×1.5×
Zuzana Svetlíková · 1×
Citations per year

Countries citing papers authored by Bangxing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bangxing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201580
2 201869
3 201732
4 201631
5 201530
6 201326
7 201621
8 201517
9 201411
10 20175
11 20163
12 20212
13 20240

About Bangxing Wang

Bangxing Wang is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Ecology, having authored 13 papers that have together received 327 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (9 papers), Cancer therapeutics and mechanisms (3 papers), Infectious Diseases and Tuberculosis (2 papers), Atmospheric aerosols and clouds (1 paper), Enzyme-mediated dye degradation (1 paper), Biochemical and Molecular Research (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Infectious Diseases (205 citations), Molecular Medicine (34 citations), Epidemiology (140 citations), Molecular Biology (170 citations) and Organic Chemistry (64 citations). Bangxing Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tianyu Zhang, Moses Njire, Ke Ding, Xiaoyun Lu, Zhengchao Tu, Junting Wan, Yuanyuan Cao, Shouyong Tan, Yaoju Tan and Rong Jia. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Optics Express, ACS Medicinal Chemistry Letters, Journal of Proteome Research and Biomedicine & Pharmacotherapy.

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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