Robert Cavagnolo

903 total citations
10 papers, 677 citations indexed

About

Robert Cavagnolo is a scholar working on Infectious Diseases, Ecology and Epidemiology. According to data from OpenAlex, Robert Cavagnolo has authored 10 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Ecology and 3 papers in Epidemiology. Recurrent topics in Robert Cavagnolo's work include Bacterial Identification and Susceptibility Testing (3 papers), Marine animal studies overview (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Robert Cavagnolo is often cited by papers focused on Bacterial Identification and Susceptibility Testing (3 papers), Marine animal studies overview (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Robert Cavagnolo collaborates with scholars based in United States. Robert Cavagnolo's co-authors include Joseph A. Kuhn, Ann Cahill, Mario Sznol, Caroline Clairmont, Neil Senzer, Casey Cunningham, John Nemunaitis, Craig E. Litz, Linoj Samuel and Amanda Harrington and has published in prestigious journals such as Journal of Clinical Microbiology, PLoS Medicine and British Journal of Dermatology.

In The Last Decade

Robert Cavagnolo

10 papers receiving 658 citations

Peers

Robert Cavagnolo

BIOTE

CB

BE

EPIDE

GENET

Yuanhai You China

Shih-Hua Teng Taiwan

Stephen F. McLaughlin United States

Emilie Bessède France

Avanish K. Varshney United States

Derek Pickard United Kingdom

Mithila Ferdous Netherlands

Erin K. Sully United States

Tetsu Hase Japan

Akihito Nishiyama Japan

Yuanhai You China

Robert Cavagnolo

54 ×0.2

BIOTE

73 ×0.3

CB

37 ×0.2

BE

106 ×0.7

EPIDE

27 ×0.2

GENET

Citations per year, relative to Robert Cavagnolo Robert Cavagnolo (= 1×) peers Yuanhai You

Countries citing papers authored by Robert Cavagnolo

Since Specialization

Citations

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

Fields of papers citing papers by Robert Cavagnolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Cavagnolo. 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 Robert Cavagnolo. The network helps show where Robert Cavagnolo may publish in the future.

Co-authorship network of co-authors of Robert Cavagnolo

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

All Works

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10 of 10 papers shown

1.

Samuel, Linoj, Joan‐Miquel Balada‐Llasat, Amanda Harrington, & Robert Cavagnolo. (2016). Multicenter Assessment of Gram Stain Error Rates. Journal of Clinical Microbiology. 54(6). 1442–1447. 71 indexed citations

2.

Ledeboer, Nathan A., Bert K. Lopansri, Neelam Dhiman, et al.. (2015). Identification of Gram-Negative Bacteria and Genetic Resistance Determinants from Positive Blood Culture Broths by Use of the Verigene Gram-Negative Blood Culture Multiplex Microarray-Based Molecular Assay. Journal of Clinical Microbiology. 53(8). 2460–2472. 126 indexed citations

3.

Buchan, Blake W., Christine C. Ginocchio, Robert Cavagnolo, et al.. (2013). Multiplex Identification of Gram-Positive Bacteria and Resistance Determinants Directly from Positive Blood Culture Broths: Evaluation of an Automated Microarray-Based Nucleic Acid Test. PLoS Medicine. 10(7). e1001478–e1001478. 93 indexed citations

4.

Carroll, Karen C., Blake W. Buchan, Paul D. Stamper, et al.. (2013). Multicenter Evaluation of the Verigene Clostridium difficile Nucleic Acid Assay. Journal of Clinical Microbiology. 51(12). 4120–4125. 22 indexed citations

5.

Cavagnolo, Robert, et al.. (2010). Polymerase chain reaction in the diagnosis of onychomycosis: a large, single-institute study. British Journal of Dermatology. 163(3). 511–514. 40 indexed citations

6.

Nemunaitis, John, Casey Cunningham, Neil Senzer, et al.. (2003). Pilot trial of genetically modified, attenuated Salmonella expressing the E. coli cytosine deaminase gene in refractory cancer patients. Cancer Gene Therapy. 10(10). 737–744. 261 indexed citations

7.

Cavagnolo, Robert. (1985). Brief Report: Inactivation of Herpesvirus on CPR Manikins Utilizing a Currently Recommended Disinfecting Procedure. Infection Control. 6(11). 456–458. 5 indexed citations

8.

Cavagnolo, Robert. (1979). The immunology of marine mammals. Developmental & Comparative Immunology. 3(2). 245–257. 28 indexed citations

9.

Cavagnolo, Robert & Neylan A. Vedros. (1979). Serum and colostrum immunoglobulin levels in the Northern Fur Seal Callorhinus ursinus. Developmental & Comparative Immunology. 3(1). 139–146. 20 indexed citations

10.

Cavagnolo, Robert & Neylan A. Vedros. (1978). Identification and characterization of three immunoglobulin classes in the Northern Fur Seal Callorhinus ursinus. Developmental & Comparative Immunology. 2(4). 689–697. 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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