Anthony D’Abramo

471 total citations
10 papers, 408 citations indexed

About

Anthony D’Abramo is a scholar working on Genetics, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Anthony D’Abramo has authored 10 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Infectious Diseases and 5 papers in Animal Science and Zoology. Recurrent topics in Anthony D’Abramo's work include Virus-based gene therapy research (8 papers), Parvovirus B19 Infection Studies (7 papers) and Animal Virus Infections Studies (5 papers). Anthony D’Abramo is often cited by papers focused on Virus-based gene therapy research (8 papers), Parvovirus B19 Infection Studies (7 papers) and Animal Virus Infections Studies (5 papers). Anthony D’Abramo collaborates with scholars based in United States, Belgium and France. Anthony D’Abramo's co-authors include Peter Tattersall, Susan F. Cotmore, Christine Ticknor, Luis F. Carbonell, Jeffrey S. Kahn, Deniz Kesebir, Carla Weibel, Sofie Struyf, Christiane Dinsart and Jean Rommelaere and has published in prestigious journals such as The Journal of Infectious Diseases, Virology and Human Gene Therapy.

In The Last Decade

Anthony D’Abramo

10 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony D’Abramo United States 8 298 284 162 107 102 10 408
Lisa Burger United States 12 389 1.3× 277 1.0× 225 1.4× 69 0.6× 216 2.1× 16 515
Anthea L. Hammond United States 8 156 0.5× 97 0.3× 44 0.3× 362 3.4× 90 0.9× 14 473
Timothy J. Toner United States 9 115 0.4× 92 0.3× 19 0.1× 125 1.2× 137 1.3× 14 288
Kristina Lindman Sweden 11 329 1.1× 137 0.5× 19 0.1× 83 0.8× 207 2.0× 12 361
Tsoline Kojaoghlanian United States 6 197 0.7× 146 0.5× 15 0.1× 122 1.1× 89 0.9× 8 308
Claes Wohlfart Sweden 7 279 0.9× 85 0.3× 23 0.1× 41 0.4× 214 2.1× 7 356
Michael Seyffert Switzerland 9 166 0.6× 73 0.3× 54 0.3× 88 0.8× 173 1.7× 13 301
Christopher E. Yi United States 7 22 0.1× 329 1.2× 107 0.7× 67 0.6× 157 1.5× 10 489
Th. Adrian Germany 15 570 1.9× 272 1.0× 21 0.1× 171 1.6× 310 3.0× 31 605
Francesco Serra Italy 10 59 0.2× 78 0.3× 61 0.4× 34 0.3× 36 0.4× 29 263

Countries citing papers authored by Anthony D’Abramo

Since Specialization
Citations

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

Fields of papers citing papers by Anthony D’Abramo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony D’Abramo. 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 Anthony D’Abramo. The network helps show where Anthony D’Abramo may publish in the future.

Co-authorship network of co-authors of Anthony D’Abramo

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony D’Abramo. A scholar is included among the top collaborators of Anthony D’Abramo 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 Anthony D’Abramo. Anthony D’Abramo 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.
2.
Organtini, Lindsey J., Phillip P. Domeier, Javier O. Cifuente, et al.. (2017). Cryo-EM maps reveal five-fold channel structures and their modification by gatekeeper mutations in the parvovirus minute virus of mice (MVM) capsid. Virology. 510. 216–223. 11 indexed citations
3.
Halder, Sujata, J. Kennon Smith, Justin Kurian, et al.. (2017). Atomic Resolution Structure of the Oncolytic Parvovirus LuIII by Electron Microscopy and 3D Image Reconstruction. Viruses. 9(11). 321–321. 8 indexed citations
4.
D’Abramo, Anthony, et al.. (2014). Genome Sequence of Tumor Virus X, a Member of the Genus Protoparvovirus in the Family Parvoviridae. Genome Announcements. 2(4). 4 indexed citations
5.
Kahn, Jeffrey S., Deniz Kesebir, Susan F. Cotmore, et al.. (2008). Seroepidemiology of Human Bocavirus Defined Using Recombinant Virus-Like Particles. The Journal of Infectious Diseases. 198(1). 41–50. 82 indexed citations
6.
D’Abramo, Anthony, et al.. (2006). Differential roles for the C-terminal hexapeptide domains of NS2 splice variants during MVM infection of murine cells. Virology. 349(2). 382–395. 13 indexed citations
7.
8.
Struyf, Sofie, Jo Van Damme, Susan F. Cotmore, et al.. (1999). cis Requirements for the Efficient Production of Recombinant DNA Vectors Based on Autonomous Parvoviruses. Human Gene Therapy. 10(10). 1619–1632. 79 indexed citations
9.
Cotmore, Susan F., Anthony D’Abramo, Christine Ticknor, & Peter Tattersall. (1999). Controlled Conformational Transitions in the MVM Virion Expose the VP1 N-Terminus and Viral Genome without Particle Disassembly. Virology. 254(1). 169–181. 109 indexed citations
10.
Cotmore, Susan F., et al.. (1997). The NS2 Polypeptide of Parvovirus MVM Is Required for Capsid Assembly in Murine Cells. Virology. 231(2). 267–280. 79 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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