Pu‐Ting Dong

877 citations
32 papers · 627 · h-index 16

Impact in

  • Biophysics top 2%
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Bacterial Identification and Susceptibility Testing

Papers in

Pu‐Ting Dong

29 papers receiving 623 citations

Peers

Pu‐Ting Dong
Comparison fields: 5 of 92
  • Biophysics 148
  • Clinical Biochemistry 51
  • Periodontics 30
  • Microbiology 35
  • Analytical Chemistry 56
Replace Nydia Morales-Soto with:
Nydia Morales-Soto United States
Jingxuan Qiu China
Evelin Witkowska Poland
Łukasz Lechowicz Poland
José Degrossi Argentina
A. Virga Italy
Taru Verma India
Silvie Bernatová Czechia
Riccardo Funari Italy
Paweł Wityk Poland
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Citations per field
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Citations per year

Countries citing papers authored by Pu‐Ting Dong

Since Specialization
Citations

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

Fields of papers citing papers by Pu‐Ting Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pu‐Ting Dong. 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 Pu‐Ting Dong. The network helps show where Pu‐Ting Dong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 201976
3 202043
4 202143
5 202241
6 202133
7 202032
8 201831
9 201926
10 201924
11 202224
12 202223
13 202223
14 202420
15 202017
16 202315
17 202111
18 202410
19 202310
20 20199

About Pu‐Ting Dong

Pu‐Ting Dong is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Infectious Diseases and Biophysics, having authored 32 papers that have together received 627 indexed citations. Recurring topics across this work include Photodynamic Therapy Research Studies (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Nanoplatforms for cancer theranostics (6 papers), Antifungal resistance and susceptibility (4 papers), Bacterial biofilms and quorum sensing (4 papers), Genomics and Phylogenetic Studies (4 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Biophysics (148 citations), Clinical Biochemistry (51 citations), Periodontics (30 citations), Microbiology (35 citations) and Analytical Chemistry (56 citations). Pu‐Ting Dong has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ji‐Xin Cheng, Junjie Li, Jie Hui, Mohamed N. Seleem, Cheng Zong, Sebastian Jusuf, Yuewei Zhan, Xuesong He, Wenyuan Shi and Leon G. Leanse. Their work appears in journals such as Advanced Science, The ISME Journal, Proceedings of the National Academy of Sciences, The Journal of Infectious Diseases and Analytical 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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