Timothy M. Murphy

493 total citations
8 papers, 317 citations indexed

About

Timothy M. Murphy is a scholar working on Infectious Diseases, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Timothy M. Murphy has authored 8 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Molecular Medicine. Recurrent topics in Timothy M. Murphy's work include Antimicrobial Resistance in Staphylococcus (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Timothy M. Murphy is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Timothy M. Murphy collaborates with scholars based in United States, Australia and Ireland. Timothy M. Murphy's co-authors include Jason Weiss, Peter J. Petersen, Patricia A. Bradford, Phaik‐Eng Sum, Steven J. Projan, Trudy H. Grossman, Andrew Slee, Joyce A. Sutcliffe, Takeshi Isoda and Youjun Yang and has published in prestigious journals such as Clinical Cancer Research, Antimicrobial Agents and Chemotherapy and European Journal of Clinical Microbiology & Infectious Diseases.

In The Last Decade

Timothy M. Murphy

8 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy M. Murphy United States 6 186 138 128 75 72 8 317
Nicolynn C. Cole United States 11 153 0.8× 76 0.6× 84 0.7× 90 1.2× 75 1.0× 17 328
Silvana Vargas Superti Brazil 11 256 1.4× 118 0.9× 168 1.3× 156 2.1× 88 1.2× 20 437
Ergina Malli Greece 11 202 1.1× 98 0.7× 92 0.7× 86 1.1× 62 0.9× 15 317
C. J. Henwood United Kingdom 7 281 1.5× 164 1.2× 115 0.9× 110 1.5× 113 1.6× 7 462
Adriana Lúcia Pires Ferreira Brazil 10 187 1.0× 125 0.9× 60 0.5× 67 0.9× 82 1.1× 13 355
Seth Rice United States 10 141 0.8× 121 0.9× 101 0.8× 87 1.2× 64 0.9× 12 298
Jean-Marie Duez France 13 225 1.2× 82 0.6× 116 0.9× 93 1.2× 42 0.6× 25 400
Arlene A. Obias United States 7 216 1.2× 144 1.0× 68 0.5× 151 2.0× 76 1.1× 8 377
Ana Di Martino Argentina 7 211 1.1× 71 0.5× 53 0.4× 52 0.7× 58 0.8× 16 313
Mel DeCorby Canada 8 216 1.2× 130 0.9× 110 0.9× 130 1.7× 90 1.3× 11 412

Countries citing papers authored by Timothy M. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Timothy M. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy M. Murphy. 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 Timothy M. Murphy. The network helps show where Timothy M. Murphy may publish in the future.

Co-authorship network of co-authors of Timothy M. Murphy

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

All Works

8 of 8 papers shown
1.
Murphy, Timothy M., et al.. (2021). Abstract P39: Pre-clinical evaluation of NEOS-223, an (S)-valine-thiazole derived peptidomimetic N-heterocycle, as an anticancer agent and P-glycoprotein inhibitor. Clinical Cancer Research. 27(6_Supplement). P39–P39. 1 indexed citations
2.
Ahern, Daniel P., et al.. (2019). Management of Herniated Lumbar Disk Disease and Cauda Equina Syndrome in Pregnancy. Clinical Spine Surgery A Spine Publication. 32(10). 412–416. 6 indexed citations
3.
Huang, David B., et al.. (2018). Iclaprim activity against wild-type and corresponding thymidine kinase–deficient Staphylococcus aureus in a mouse protection model. European Journal of Clinical Microbiology & Infectious Diseases. 38(2). 409–412. 2 indexed citations
4.
Grossman, Trudy H., Corey Fyfe, William J. O’Brien, et al.. (2017). Fluorocycline TP-271 Is Potent against Complicated Community-Acquired Bacterial Pneumonia Pathogens. mSphere. 2(1). 26 indexed citations
5.
Grossman, Trudy H., et al.. (2015). Eravacycline (TP-434) Is Efficacious in Animal Models of Infection. Antimicrobial Agents and Chemotherapy. 59(5). 2567–2571. 36 indexed citations
6.
Weiss, Jason, Peter J. Petersen, Timothy M. Murphy, et al.. (2004). In Vitro and In Vivo Activities of Novel 6-Methylidene Penems as β-Lactamase Inhibitors. Antimicrobial Agents and Chemotherapy. 48(12). 4589–4596. 41 indexed citations
7.
Petersen, Peter J., Patricia A. Bradford, Jason Weiss, et al.. (2002). In Vitro and In Vivo Activities of Tigecycline (GAR-936), Daptomycin, and Comparative Antimicrobial Agents against Glycopeptide-IntermediateStaphylococcus aureusand Other Resistant Gram-Positive Pathogens. Antimicrobial Agents and Chemotherapy. 46(8). 2595–2601. 138 indexed citations
8.
Murphy, Timothy M., et al.. (2000). Therapeutic Efficacy of GAR-936, a Novel Glycylcycline, in a Rat Model of Experimental Endocarditis. Antimicrobial Agents and Chemotherapy. 44(11). 3022–3027. 67 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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