Arthur Jeng
Impact in
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Otolaryngology and Infectious Diseases
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Antimicrobial Resistance in Staphylococcus 6
-
- Streptococcal Infections and Treatments 7
- Neonatal and Maternal Infections 4
- Co-authors
- Victor Nizet (4 shared papers)Malak Kotb (2 shared papers)Rita G. Kansal (2 shared papers)Bernard Beall (2 shared papers)Ramy K. Aziz (1 shared paper)M. Pabst (1 shared paper)Donald E. Low (1 shared paper)Vivekananda Datta (1 shared paper)
- Journals
- Open Forum Infectious Diseases (3 papers)Molecular Microbiology (2 papers)Journal of Infection (2 papers)International Journal of STD & AIDS (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Arthur Jeng
11 papers receiving 523 citations
Peers
Comparison fields: 5 of 55
- Infectious Diseases 392
- Clinical Biochemistry 115
- Public Health, Environmental and Occupational Health 462
- Microbiology 7
- Applied Microbiology and Biotechnology 8
Countries citing papers authored by Arthur Jeng
This map shows the geographic impact of Arthur Jeng'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 Arthur Jeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Jeng more than expected).
Fields of papers citing papers by Arthur Jeng
This network shows the impact of papers produced by Arthur Jeng. 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 Arthur Jeng. The network helps show where Arthur Jeng may publish in the future.
Co-authors
The 22 scholars most cited alongside Arthur Jeng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 163 | |
| 2 | 2003 | 133 | |
| 3 | 2010 | 115 | |
| 4 | 2003 | 46 | |
| 5 | 2006 | 37 | |
| 6 | 2004 | 20 | |
| 7 | 2007 | 6 | |
| 8 | 2018 | 5 | |
| 9 | 2020 | 5 | |
| 10 | 2017 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2024 | 0 | |
| 13 | 2015 | 0 |
About Arthur Jeng
Arthur Jeng is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Clinical Biochemistry and Hematology, having authored 13 papers that have together received 534 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Neonatal and Maternal Infections (4 papers), Infective Endocarditis Diagnosis and Management (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Sepsis Diagnosis and Treatment (1 paper) and Antibiotic Use and Resistance (1 paper). The work is most often cited by research in Infectious Diseases (392 citations), Clinical Biochemistry (115 citations), Public Health, Environmental and Occupational Health (462 citations), Microbiology (7 citations) and Applied Microbiology and Biotechnology (8 citations). Arthur Jeng has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Victor Nizet, Malak Kotb, Rita G. Kansal, Bernard Beall, Ramy K. Aziz, M. Pabst, Donald E. Low, Vivekananda Datta, Varja Sakota and Zhongya Li. Their work appears in journals such as Open Forum Infectious Diseases, Molecular Microbiology, Journal of Infection, International Journal of STD & AIDS and Journal of Bacteriology.
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.