L Moon-McDermott
Impact in
- Molecular Medicine top 10%
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
-
- Antimicrobial Resistance in Staphylococcus 4
- Co-authors
- Daniel W. Drolet (1 shared paper)Robert M. Fielding (3 shared papers)Donald T. Dubin (2 shared papers)Smita Thakker‐Varia (1 shared paper)Melvin P. Weinstein (1 shared paper)Michelle Horner (1 shared paper)Andrea Koenig (1 shared paper)Ajit Varki (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (3 papers)Journal of Liposome Research (1 paper)Journal of Clinical Investigation (1 paper)Journal of drug targeting (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
L Moon-McDermott
10 papers receiving 599 citations
Peers
Comparison fields: 5 of 69
- Molecular Medicine 39
- Infectious Diseases 132
- Molecular Biology 451
- Pharmaceutical Science 27
- Clinical Biochemistry 28
Countries citing papers authored by L Moon-McDermott
This map shows the geographic impact of L Moon-McDermott'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 L Moon-McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Moon-McDermott more than expected).
Fields of papers citing papers by L Moon-McDermott
This network shows the impact of papers produced by L Moon-McDermott. 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 L Moon-McDermott. The network helps show where L Moon-McDermott may publish in the future.
Co-authors
The 25 scholars most cited alongside L Moon-McDermott, 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 | 1996 | 263 | |
| 2 | 1996 | 111 | |
| 3 | 1987 | 81 | |
| 4 | 1998 | 54 | |
| 5 | Antitumor efficacy, pharmacokinetics, and biodistribution of NX 211: a low-clearance liposomal formulation of lurtotecan. | 2000 | 51 |
| 6 | 1999 | 32 | |
| 7 | 1989 | 28 | |
| 8 | 1984 | 11 | |
| 9 | 1999 | 7 | |
| 10 | 2001 | 3 |
About L Moon-McDermott
L Moon-McDermott is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Oncology and Biomaterials, having authored 10 papers that have together received 641 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Nanoparticle-Based Drug Delivery (2 papers), RNA Interference and Gene Delivery (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Plant Pathogenic Bacteria Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (39 citations), Infectious Diseases (132 citations), Molecular Biology (451 citations), Pharmaceutical Science (27 citations) and Clinical Biochemistry (28 citations). L Moon-McDermott has collaborated with scholars based in United States and Poland. Frequent co-authors include Daniel W. Drolet, Robert M. Fielding, Donald T. Dubin, Smita Thakker‐Varia, Melvin P. Weinstein, Michelle Horner, Andrea Koenig, Ajit Varki, Susan R. Watson and Ying-Fon Chang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Liposome Research, Journal of Clinical Investigation, Journal of drug targeting and Nature Biotechnology.
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.