Vincent P. DeMarco

600 total citations
7 papers, 428 citations indexed

About

Vincent P. DeMarco is a scholar working on Surgery, Infectious Diseases and Pharmacology. According to data from OpenAlex, Vincent P. DeMarco has authored 7 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Infectious Diseases and 2 papers in Pharmacology. Recurrent topics in Vincent P. DeMarco's work include Infectious Diseases and Tuberculosis (6 papers), Tuberculosis Research and Epidemiology (5 papers) and Orthopedic Infections and Treatments (3 papers). Vincent P. DeMarco is often cited by papers focused on Infectious Diseases and Tuberculosis (6 papers), Tuberculosis Research and Epidemiology (5 papers) and Orthopedic Infections and Treatments (3 papers). Vincent P. DeMarco collaborates with scholars based in United States. Vincent P. DeMarco's co-authors include Sanjay K. Jain, Alvaro A. Ordoñez, Mariah H. Klunk, Supriya Pokkali, Edward A. Weinstein, Allison M. Murawski, Ronnie C. Mease, Martin G. Pomper, Elizabeth M. MacDonald and Michael E. Urbanowski and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Science Translational Medicine and Journal of Nuclear Medicine.

In The Last Decade

Vincent P. DeMarco

7 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent P. DeMarco United States 7 215 173 170 86 63 7 428
Mariah H. Klunk United States 14 349 1.6× 324 1.9× 271 1.6× 127 1.5× 104 1.7× 18 677
Leo McHugh Australia 12 141 0.7× 42 0.2× 292 1.7× 26 0.3× 155 2.5× 18 534
Jamie Harper United States 6 109 0.5× 245 1.4× 166 1.0× 19 0.2× 77 1.2× 7 328
T Fujimoto Japan 8 83 0.4× 93 0.5× 35 0.2× 24 0.3× 34 0.5× 23 311
Carl E. Roberts United States 11 106 0.5× 87 0.5× 86 0.5× 32 0.4× 128 2.0× 16 403
Anu Mathew United States 9 53 0.2× 227 1.3× 138 0.8× 15 0.2× 100 1.6× 26 347
Nobuhiro Saruki Japan 9 46 0.2× 59 0.3× 44 0.3× 21 0.2× 114 1.8× 30 354
Kai‐Che Wei Taiwan 12 42 0.2× 82 0.5× 82 0.5× 48 0.6× 40 0.6× 40 354
Geraldine A. Murphy Australia 11 31 0.1× 73 0.4× 262 1.5× 40 0.5× 98 1.6× 13 652
Shuang Qiu China 11 106 0.5× 73 0.4× 29 0.2× 70 0.8× 50 0.8× 24 429

Countries citing papers authored by Vincent P. DeMarco

Since Specialization
Citations

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

Fields of papers citing papers by Vincent P. DeMarco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent P. DeMarco. 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 Vincent P. DeMarco. The network helps show where Vincent P. DeMarco may publish in the future.

Co-authorship network of co-authors of Vincent P. DeMarco

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

All Works

7 of 7 papers shown
1.
Rifat, Dalin, Brendan Prideaux, Radojka M. Savić, et al.. (2018). Pharmacokinetics of rifapentine and rifampin in a rabbit model of tuberculosis and correlation with clinical trial data. Science Translational Medicine. 10(435). 40 indexed citations
2.
Ordoñez, Alvaro A., Edward A. Weinstein, Vikram Saini, et al.. (2016). A Systematic Approach for Developing Bacteria-Specific Imaging Tracers. Journal of Nuclear Medicine. 58(1). 144–150. 82 indexed citations
3.
Tucker, Elizabeth W., Supriya Pokkali, Zhi Zhang, et al.. (2016). Microglia activation in a pediatric rabbit model of tuberculous meningitis. Disease Models & Mechanisms. 9(12). 1497–1506. 42 indexed citations
4.
Ordoñez, Alvaro A., Vincent P. DeMarco, Mariah H. Klunk, Supriya Pokkali, & Sanjay K. Jain. (2015). Imaging Chronic Tuberculous Lesions Using Sodium [18F]Fluoride Positron Emission Tomography in Mice. Molecular Imaging and Biology. 17(5). 609–614. 19 indexed citations
5.
DeMarco, Vincent P., Alvaro A. Ordoñez, Mariah H. Klunk, et al.. (2015). Determination of [ 11 C]Rifampin Pharmacokinetics within Mycobacterium tuberculosis-Infected Mice by Using Dynamic Positron Emission Tomography Bioimaging. Antimicrobial Agents and Chemotherapy. 59(9). 5768–5774. 33 indexed citations
6.
Weinstein, Edward A., Alvaro A. Ordoñez, Vincent P. DeMarco, et al.. (2014). Imaging Enterobacteriaceae infection in vivo with 18 F-fluorodeoxysorbitol positron emission tomography. Science Translational Medicine. 6(259). 259ra146–259ra146. 171 indexed citations
7.
Ordoñez, Alvaro A., Supriya Pokkali, Vincent P. DeMarco, et al.. (2014). Radioiodinated DPA-713 Imaging Correlates with Bactericidal Activity of Tuberculosis Treatments in Mice. Antimicrobial Agents and Chemotherapy. 59(1). 642–649. 41 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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