Simeng Duan

540 citations
24 papers · 406 · h-index 12

Impact in

Papers in

Simeng Duan

24 papers receiving 400 citations

Peers

Simeng Duan
Comparison fields: 5 of 38
  • Molecular Medicine 130
  • Clinical Biochemistry 45
  • Infectious Diseases 167
  • Applied Microbiology and Biotechnology 13
  • Endocrinology 7
Replace Larissa Lutz with:
Larissa Lutz Brazil
Cristina Colmenarejo Spain
Nancy Bourdon France
Jeff Fuller Canada
Selvi C. Ersoy United States
Basia Hofmann Germany
Paola Ceriana Argentina
Nagwa M El Amin Saudi Arabia
Sachiko Satake Japan
Minoru Yonezawa Japan
Simeng Duan relative to Larissa Lutz Brazil Larissa Lutz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simeng Duan

Since Specialization
Citations

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

Fields of papers citing papers by Simeng Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201991
2 202027
3 202025
4 201923
5 202023
6 202123
7 201919
8 202119
9 202118
10 202117
11 202115
12 202013
13 201912
14 202112
15 202212
16 202211
17 20218
18 20217
19 20237
20 20206

About Simeng Duan

Simeng Duan is a scholar working on Molecular Medicine, Clinical Biochemistry, Infectious Diseases, Epidemiology and Nuclear Energy and Engineering, having authored 24 papers that have together received 406 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Antifungal resistance and susceptibility (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), SARS-CoV-2 detection and testing (2 papers), Pneumonia and Respiratory Infections (1 paper), Fungal Infections and Studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Molecular Medicine (130 citations), Clinical Biochemistry (45 citations), Infectious Diseases (167 citations), Applied Microbiology and Biotechnology (13 citations) and Endocrinology (7 citations). Simeng Duan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jingjia Zhang, Ying-Chun Xu, Ge Zhang, Qiwen Yang, Menglan Zhou, Meng Xiao, Yang Yang, Xin Hou, Ying Zhu and Tong Wang. Their work appears in journals such as Frontiers in Microbiology, Infection and Drug Resistance, Journal of Microbiology Immunology and Infection, Frontiers in Cellular and Infection Microbiology and Journal of Antimicrobial Chemotherapy.

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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