Beining Guo

55 papers receiving 666 citations

Peers

Beining Guo
Comparison fields: 5 of 81
  • Molecular Medicine 307
  • Applied Microbiology and Biotechnology 53
  • Pharmacology 381
  • Infectious Diseases 172
  • Clinical Biochemistry 55
Replace Sangrim Kang with:
Sangrim Kang South Korea
Elisabeth Zurlinden United States
Jufang Wu China
Laurie B. Hovde United States
Jicheng Yu China
Mary Anné Banevicius United States
Amy N. Schilling United States
María Agudelo Colombia
Karen Amsler United States
R. N. Jones United States
Beining Guo relative to Sangrim Kang South Korea Sangrim Kang's profile →
Citations per field
00.5×2.6×
Sangrim Kang · 1×
Citations per year

Countries citing papers authored by Beining Guo

Since Specialization
Citations

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

Fields of papers citing papers by Beining Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201246
2 201243
3 202141
4 201638
5 201235
6 201832
7 201028
8 201126
9 202025
10 201924
11 200723
12 202320
13 202019
14 202217
15 201815
16 202015
17 201915
18 201414
19 201414
20 202013

About Beining Guo

Beining Guo is a scholar working on Pharmacology, Molecular Medicine, Epidemiology, Infectious Diseases and Clinical Biochemistry, having authored 60 papers that have together received 673 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (45 papers), Antibiotic Resistance in Bacteria (30 papers), Pneumonia and Respiratory Infections (24 papers), Antimicrobial Resistance in Staphylococcus (15 papers), Bacterial Identification and Susceptibility Testing (9 papers), Analytical Methods in Pharmaceuticals (4 papers), Bacterial biofilms and quorum sensing (4 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Molecular Medicine (307 citations), Applied Microbiology and Biotechnology (53 citations), Pharmacology (381 citations), Infectious Diseases (172 citations) and Clinical Biochemistry (55 citations). Beining Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaojie Wu, Jicheng Yu, Jing Zhang, Yaxin Fan, Yuancheng Chen, Yingyuan Zhang, Guoying Cao, Vincent H. Tam, Kimberly R. Ledesma and Jufang Wu. Their work appears in journals such as Clinical Therapeutics, Antimicrobial Agents and Chemotherapy, Journal of Chromatography B, Frontiers in Pharmacology and International Journal of Antimicrobial Agents.

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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