Neang S. Ly
- Molecular Medicine top 0.5%
- Pharmacology top 2%
- Epidemiology top 10%
- Molecular Biology
- Applied Microbiology and Biotechnology top 1%
- Co-authors
- Brian T. TsujiJürgen B. BulittaAlan ForrestJenny C. YangDana R. AndersonLauren LimAnthony JarkowskiCornelia B. Landersdorfer
- Topics
- Antibiotic Resistance in Bacteria (16 papers)Antibiotics Pharmacokinetics and Efficacy (14 papers)Pneumonia and Respiratory Infections (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaAntimicrobial Agents and ChemotherapyClinical Pharmacology & Therapeutics
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Neang S. Ly
23 papers receiving 998 citations
Peers
Comparison fields: 5 of 84
- Molecular Medicine 753
- Pharmacology 538
- Epidemiology 273
- Molecular Biology 203
- Applied Microbiology and Biotechnology 129
Countries citing papers authored by Neang S. Ly
This map shows the geographic impact of Neang S. Ly'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 Neang S. Ly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neang S. Ly more than expected).
Fields of papers citing papers by Neang S. Ly
This network shows the impact of papers produced by Neang S. Ly. 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 Neang S. Ly. The network helps show where Neang S. Ly may publish in the future.
Co-authorship network of co-authors of Neang S. Ly
This figure shows the co-authorship network connecting the top 25 collaborators of Neang S. Ly. A scholar is included among the top collaborators of Neang S. Ly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neang S. Ly. Neang S. Ly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 17 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | Accuracy of forced oscillation technique to assess lung function in geriatric COPD population | 1 |
| 8 | 27 | |
| 9 | 39 | |
| 10 | 45 | |
| 11 | 13 | |
| 12 | 55 | |
| 13 | 5 | |
| 14 | 78 | |
| 15 | 29 | |
| 16 | 11 | |
| 17 | 24 | |
| 18 | 106 | |
| 19 | 339 | |
| 20 | 78 |
About Neang S. Ly
Neang S. Ly is a scholar working on Molecular Medicine, Pharmacology and Endocrinology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers) and Pneumonia and Respiratory Infections (6 papers). The work is most often cited by research in Molecular Medicine (753 citations), Applied Microbiology and Biotechnology (129 citations) and Pharmacology (538 citations). Neang S. Ly has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Brian T. Tsuji, Jürgen B. Bulitta, Alan Forrest, Jenny C. Yang, Dana R. Anderson, Lauren Lim, Anthony Jarkowski, Cornelia B. Landersdorfer, Gauri G. Rao and William J. Jusko. Their work appears in journals such as SHILAP Revista de lepidopterología, Antimicrobial Agents and Chemotherapy and Clinical Pharmacology & Therapeutics.
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.