Paula Carney

28 total papers · 810 total citations
21 papers, 651 citations indexed

About

Paula Carney is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Molecular Biology. According to data from OpenAlex, Paula Carney has authored 21 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Paula Carney's work include Virus-based gene therapy research (7 papers), Organ Donation and Transplantation (5 papers) and Renal Transplantation Outcomes and Treatments (5 papers). Paula Carney is often cited by papers focused on Virus-based gene therapy research (7 papers), Organ Donation and Transplantation (5 papers) and Renal Transplantation Outcomes and Treatments (5 papers). Paula Carney collaborates with scholars based in United States, Panama and Japan. Paula Carney's co-authors include Richard A. Malmgren, Alan S. Rabson, Eric A. Hudson, Nadya I. Tarasova, George Gaitanaris, Roland H. Stauber, George N. Pavlakis, Kyoji Horie, Elisa J. Gordon and Juan Carlos Caicedo and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Journal of Bacteriology and International Journal of Cancer.

In The Last Decade

Paula Carney

20 papers receiving 615 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Paula Carney	219	149	113	104	93	21	651
James Nicopoullos	338 1.5×	104 0.7×	126 1.1×	55 0.5×	79 0.8×	31	706
Anne Simmonds	242 1.1×	180 1.2×	19 0.2×	62 0.6×	121 1.3×	26	650
Emma Fernández–Repollet	122 0.6×	183 1.2×	18 0.2×	21 0.2×	67 0.7×	39	646
Rosalie Ber	200 0.9×	117 0.8×	12 0.1×	42 0.4×	94 1.0×	32	613
Birte Pantenburg	101 0.5×	29 0.2×	117 1.0×	20 0.2×	139 1.5×	24	762
Katharina Heller	125 0.6×	111 0.7×	209 1.8×	21 0.2×	8 0.1×	30	567
Elizabeth M. Staley	47 0.2×	248 1.7×	25 0.2×	131 1.3×	29 0.3×	34	770
Stephanie Nagy-Agren	106 0.5×	133 0.9×	27 0.2×	13 0.1×	22 0.2×	19	659
Hannah C. Sung	40 0.2×	60 0.4×	31 0.3×	55 0.5×	11 0.1×	24	590
Anna Espinal	44 0.2×	104 0.7×	45 0.4×	79 0.8×	8 0.1×	24	629

Countries citing papers authored by Paula Carney

Since Specialization

Citations

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

Fields of papers citing papers by Paula Carney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Carney

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

All Works

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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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