L Moon-McDermott

786 total citations
10 papers, 639 citations indexed

About

L Moon-McDermott is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, L Moon-McDermott has authored 10 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Pharmacology. Recurrent topics in L Moon-McDermott's work include Antimicrobial Resistance in Staphylococcus (4 papers), RNA Interference and Gene Delivery (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). L Moon-McDermott is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (4 papers), RNA Interference and Gene Delivery (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). L Moon-McDermott collaborates with scholars based in United States and Poland. L Moon-McDermott's co-authors include Daniel W. Drolet, Robert M. Fielding, Donald T. Dubin, Melvin P. Weinstein, Smita Thakker‐Varia, Michelle Horner, Ajit Varki, Susan Jennings, Nissi Varki and Ying-Fon Chang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Biotechnology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

L Moon-McDermott

10 papers receiving 596 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
L Moon-McDermott United States 8 468 158 136 53 51 10 639
Tomoko Fujino Japan 17 530 1.1× 46 0.3× 234 1.7× 96 1.8× 26 0.5× 64 908
Mircea Popescu United States 13 269 0.6× 57 0.4× 207 1.5× 123 2.3× 111 2.2× 23 800
Collette S. Guy United Kingdom 11 241 0.5× 130 0.8× 213 1.6× 68 1.3× 22 0.4× 23 538
Nancy J. Millenbaugh United States 13 214 0.5× 154 1.0× 42 0.3× 17 0.3× 69 1.4× 17 516
Brenda McCormack United Kingdom 12 417 0.9× 51 0.3× 45 0.3× 63 1.2× 47 0.9× 21 753
Moustafa T. Mabrouk United States 13 257 0.5× 213 1.3× 142 1.0× 34 0.6× 59 1.2× 19 811
Vladimir Malinin United States 14 424 0.9× 90 0.6× 57 0.4× 112 2.1× 19 0.4× 39 948
Marzena Wątek Poland 14 365 0.8× 126 0.8× 51 0.4× 63 1.2× 70 1.4× 27 762
Jacob Witten United States 13 455 1.0× 97 0.6× 55 0.4× 51 1.0× 24 0.5× 20 774
Estelle J. A. Suys Australia 10 472 1.0× 133 0.8× 115 0.8× 31 0.6× 62 1.2× 10 811

Countries citing papers authored by L Moon-McDermott

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of L Moon-McDermott

This figure shows the co-authorship network connecting the top 25 collaborators of L Moon-McDermott. A scholar is included among the top collaborators of L Moon-McDermott 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 L Moon-McDermott. L Moon-McDermott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Wolf, Julie Ryan, et al.. (2001). EVALUATING THE EFFICACY OF AMIKACIN IN LOW-CLEARANCE UNILAMELLAR LIPOSOMES IN AS. AUREUSLOCAL INFECTION MODEL. Journal of Liposome Research. 11(2-3). 243–254. 3 indexed citations
2.
Emerson, David L., Raymond A. Bendele, Eric Brown, et al.. (2000). Antitumor efficacy, pharmacokinetics, and biodistribution of NX 211: a low-clearance liposomal formulation of lurtotecan.. PubMed. 6(7). 2903–12. 51 indexed citations
3.
Fielding, Robert M., et al.. (1999). Bioavailability of a Small Unilamellar Low-Clearance Liposomal Amikacin Formulation after Extravascular Administration. Journal of drug targeting. 6(6). 415–426. 7 indexed citations
4.
Fielding, Robert M., et al.. (1999). Pharmacokinetics and Urinary Excretion of Amikacin in Low-Clearance Unilamellar Liposomes after a Single or Repeated Intravenous Administration in the Rhesus Monkey. Antimicrobial Agents and Chemotherapy. 43(3). 503–509. 32 indexed citations
5.
Fielding, Robert M., et al.. (1998). Altered Tissue Distribution and Elimination of Amikacin Encapsulated in Unilamellar, Low-Clearance Liposomes (MiKasome®). Pharmaceutical Research. 15(11). 1775–1781. 53 indexed citations
6.
Hicke, Brian J., Susan R. Watson, Andrea Koenig, et al.. (1996). DNA aptamers block L-selectin function in vivo. Inhibition of human lymphocyte trafficking in SCID mice.. Journal of Clinical Investigation. 98(12). 2688–2692. 110 indexed citations
7.
Drolet, Daniel W., et al.. (1996). An enzyme-linked oligonucleotide assay. Nature Biotechnology. 14(8). 1021–1025. 263 indexed citations
8.
9.
Thakker‐Varia, Smita, et al.. (1987). Molecular epidemiology of macrolides-lincosamides-streptogramin B resistance in Staphylococcus aureus and coagulase-negative staphylococci. Antimicrobial Agents and Chemotherapy. 31(5). 735–743. 81 indexed citations
10.
Ampel, Neil M., M.H. Keating, L Moon-McDermott, Georges Peter, & Stephen H. Zinner. (1984). Comparison of tube dilution and microtitre methods for the detection of antibiotic tolerance in strains of Staphylococcus aureus. Journal of Antimicrobial Chemotherapy. 13(5). 417–421. 11 indexed citations

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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