Virginia Pappas

1.1k total citations · 1 hit paper
8 papers, 764 citations indexed

About

Virginia Pappas is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Geriatrics and Gerontology. According to data from OpenAlex, Virginia Pappas has authored 8 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Psychiatry and Mental health, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Geriatrics and Gerontology. Recurrent topics in Virginia Pappas's work include Dementia and Cognitive Impairment Research (4 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Virginia Pappas is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Virginia Pappas collaborates with scholars based in United States and Australia. Virginia Pappas's co-authors include Peter Herscovitch, Keith A. Johnson, Christopher C. Rowe, Dean M. Hartley, Kevin Donohoe, Nicolaas I. Bohnen, Norman L. Foster, Jason Karlawish, Satoshi Minoshima and María C. Carrillo and has published in prestigious journals such as Journal of Nuclear Medicine, Alzheimer s & Dementia and PubMed.

In The Last Decade

Virginia Pappas

8 papers receiving 743 citations

Hit Papers

Appropriate use criteria ... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Virginia Pappas 549 444 167 148 125 8 764
Orit H. Lesman‐Segev 385 0.7× 315 0.7× 133 0.8× 116 0.8× 82 0.7× 21 731
Matthew Flitter 632 1.2× 621 1.4× 231 1.4× 224 1.5× 83 0.7× 9 889
Lauren Edwards 425 0.8× 525 1.2× 124 0.7× 188 1.3× 88 0.7× 35 956
Karen C. Holdridge 476 0.9× 426 1.0× 40 0.2× 120 0.8× 99 0.8× 29 826
Karly Alex Cody 484 0.9× 417 0.9× 160 1.0× 137 0.9× 29 0.2× 42 827
J. Koivunen 601 1.1× 579 1.3× 146 0.9× 230 1.6× 48 0.4× 8 779
Federica Ribaldi 347 0.6× 384 0.9× 82 0.5× 115 0.8× 41 0.3× 52 760
Charles Apgar 345 0.6× 250 0.6× 97 0.6× 76 0.5× 93 0.7× 10 503
Tessa Timmers 449 0.8× 395 0.9× 174 1.0× 179 1.2× 22 0.2× 33 691
Auttawut Roontiva 463 0.8× 517 1.2× 134 0.8× 167 1.1× 20 0.2× 16 833

Countries citing papers authored by Virginia Pappas

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Pappas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Pappas

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Pappas. A scholar is included among the top collaborators of Virginia Pappas 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 Virginia Pappas. Virginia Pappas 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.
Johnson, Keith A., Satoshi Minoshima, Nicolaas I. Bohnen, et al.. (2013). Appropriate Use Criteria for Amyloid PET: A Report of the Amyloid Imaging Task Force, the Society of Nuclear Medicine and Molecular Imaging, and the Alzheimer’s Association. Journal of Nuclear Medicine. 54(3). 476–490. 213 indexed citations
2.
Johnson, Keith A., Satoshi Minoshima, Nicolaas I. Bohnen, et al.. (2013). Update on Appropriate Use Criteria for Amyloid PET Imaging: Dementia Experts, Mild Cognitive Impairment, and Education. Journal of Nuclear Medicine. 54(7). 1011–1013. 62 indexed citations
3.
Johnson, Keith A., Satoshi Minoshima, Nicolaas I. Bohnen, et al.. (2013). Update on appropriate use criteria for amyloid PET imaging: Dementia experts, mild cognitive impairment, and education. Alzheimer s & Dementia. 9(4). e106–9. 81 indexed citations
4.
Johnson, Keith A., Satoshi Minoshima, Nicolaas I. Bohnen, et al.. (2013). Appropriate use criteria for amyloid PET: A report of the Amyloid Imaging Task Force, the Society of Nuclear Medicine and Molecular Imaging, and the Alzheimer's Association. Alzheimer s & Dementia. 9(1). e–1. 402 indexed citations breakdown →
5.
Pappas, Virginia. (2012). SNM travels to Miami Beach for 2012 annual meeting.. PubMed. 53(4). 19N–19N. 1 indexed citations
6.
Pappas, Virginia. (2011). Renewed energy for nuclear medicine and molecular imaging.. PubMed. 52(8). 20N–20N. 1 indexed citations
7.
Pappas, Virginia. (2009). SNM takes international spotlight during global isotope crisis.. PubMed. 50(8). 29N, 34N–29N, 34N. 1 indexed citations
8.
Pappas, Virginia, et al.. (2000). The middle school mentoring program in allied health: a proposed model.. PubMed. 29(2). 114–9. 3 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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