Danhong Su

627 citations
21 papers · 129 · h-index 8

Impact in

Papers in

Danhong Su

21 papers receiving 128 citations

Peers

Danhong Su
Comparison fields: 5 of 40
  • Molecular Medicine 50
  • Microbiology 7
  • Applied Microbiology and Biotechnology 10
  • Endocrinology 21
  • Infectious Diseases 47
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Daniel Navarro Spain
Ranganathan Iyer India
Francisco Javier Chamizo-López Spain
Olivier Moquet France
Raúl Gilarranz Luengo Spain
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Olivier Lemenand France
Kalina Mihova Bulgaria
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Citations per year

Countries citing papers authored by Danhong Su

Since Specialization
Citations

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

Fields of papers citing papers by Danhong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201522
2 201815
3 201810
4 201710
5
Detection of Aspergillus DNA in BALF by Real-time PCR and Galactomannan Antigen for the Early Diagnosis of Chronic Pulmonary Aspergillosis.
20219
6 20178
7 20148
8 20187
9 20167
10 20095
11
[Resistance surveillance of major pathogens for adult community-acquired respiratory tract infections in China: a multicenter study 2012].
20155
12 20185
13 20205
14 20223
15
CHINET 2010 surveillance of antibiotic resistance in Enterococcus in China
20122
16 20232
17
[Distribution and drug-resistance of 3 500 gram-negative bacteria in Guangzhou].
20052
18 20171
19 20091
20 20191

About Danhong Su

Danhong Su is a scholar working on Epidemiology, Molecular Medicine, Clinical Biochemistry, Infectious Diseases and Endocrinology, having authored 21 papers that have together received 129 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antifungal resistance and susceptibility (4 papers), Fungal Infections and Studies (3 papers), Pneumonia and Respiratory Infections (3 papers), Antibiotic Use and Resistance (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Infections and bacterial resistance (2 papers). The work is most often cited by research in Molecular Medicine (50 citations), Microbiology (7 citations), Applied Microbiology and Biotechnology (10 citations), Endocrinology (21 citations) and Infectious Diseases (47 citations). Danhong Su has collaborated with scholars based in China and United States. Frequent co-authors include Ling Yang, Dingqiang Chen, Yongping Lin, Guoqin Chen, Qun Luo, Rongchang Chen, Feng Ye, Wen Shu-Xian, Ying Zhou and Qingsi Zeng. Their work appears in journals such as Microbial Pathogenesis, Antimicrobial Agents and Chemotherapy, Mycopathologia, Journal of Antimicrobial Chemotherapy and Frontiers in Public Health.

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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