Demei Zhu

63 papers receiving 2.0k citations

Peers

Demei Zhu
Comparison fields: 5 of 87
  • Molecular Medicine 1.3k
  • Applied Microbiology and Biotechnology 351
  • Endocrinology 387
  • Clinical Biochemistry 359
  • Microbiology 224
Replace Yuxing Ni with:
Yuxing Ni China
Alejandra Corso Argentina
Melanie Baxter Canada
Dee Shortridge United States
Martin Kaase Germany
Kang Liao China
M. Warner United Kingdom
Mariona Xercavins Spain
Scott J. Weissman United States
Vikas Manchanda India
Demei Zhu relative to Yuxing Ni China Yuxing Ni's profile →
Citations per field
00.5×1.5×1.9×
Yuxing Ni · 1×
Citations per year

Countries citing papers authored by Demei Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Demei Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018233
2 2019197
3 2010147
4 2009111
5 201988
6 201479
7 201377
8 201177
9 201069
10 201158
11 200251
12 201149
13 201844
14 200941
15 202041
16 201140
17 200834
18 201533
19 202231
20 200430

About Demei Zhu

Demei Zhu is a scholar working on Molecular Medicine, Pharmacology, Infectious Diseases, Epidemiology and Clinical Biochemistry, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (51 papers), Antibiotics Pharmacokinetics and Efficacy (29 papers), Antimicrobial Resistance in Staphylococcus (18 papers), Bacterial Identification and Susceptibility Testing (15 papers), Pneumonia and Respiratory Infections (13 papers), Antibiotic Use and Resistance (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers) and Enterobacteriaceae and Cronobacter Research (7 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Applied Microbiology and Biotechnology (351 citations), Endocrinology (387 citations), Clinical Biochemistry (359 citations) and Microbiology (224 citations). Demei Zhu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Fupin Hu, Minggui Wang, Fu Wang, Xiaogang Xu, Yan Guo, Shi Wu, Yingyuan Zhang, Yang Yang, Xinyu Ye and Dandan Yin. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Medical Microbiology, Diagnostic Microbiology and Infectious Disease and Microbiology Spectrum.

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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