Yalin Dong

146 papers receiving 2.3k citations

Peers

Yalin Dong
Comparison fields: 5 of 133
  • Applied Microbiology and Biotechnology 112
  • Molecular Medicine 245
  • Infectious Diseases 513
  • Pharmacology 378
  • Pharmaceutical Science 108
Replace Martin Brunner with:
Martin Brunner Austria
Antonello Di Paolo Italy
Lynda R. Wiseman New Zealand
Michael S. Schwartz United States
Xiaoyang Lu China
Kazuaki Matsumoto Japan
Olivier Petitjean France
Elizabeth Gillespie United States
Honggang Zhou China
Wen Chyi Shyu United States
Yalin Dong relative to Martin Brunner Austria Martin Brunner's profile →
Citations per field
00.5×6.5×
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Citations per year

Countries citing papers authored by Yalin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yalin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 201471
3 201466
4 202365
5 201751
6 201150
7 201449
8 201548
9 201947
10 201344
11 201842
12 201441
13 201339
14 201138
15 202338
16 201838
17 201437
18 201936
19 201735
20 201235

About Yalin Dong

Yalin Dong is a scholar working on Infectious Diseases, Pharmacology, Molecular Biology, Epidemiology and Molecular Medicine, having authored 152 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (25 papers), Antifungal resistance and susceptibility (25 papers), Antibiotic Resistance in Bacteria (19 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Drug Transport and Resistance Mechanisms (9 papers), Fungal Infections and Studies (7 papers), Antibiotic Use and Resistance (7 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (112 citations), Molecular Medicine (245 citations), Infectious Diseases (513 citations), Pharmacology (378 citations) and Pharmaceutical Science (108 citations). Yalin Dong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianfeng Xing, Jiao Xie, Taotao Wang, Haisheng You, Haiyan Dong, Jun Lü, Jinyao Sun, Sasa Hu, Xiaowei Zheng and Jiangxia Cai. Their work appears in journals such as RSC Advances, International Journal of Antimicrobial Agents, European Journal of Clinical Pharmacology, European Journal of Clinical Microbiology & Infectious Diseases and International Journal of Infectious Diseases.

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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