Elizabeth Read-Connole

767 total citations
8 papers, 301 citations indexed

About

Elizabeth Read-Connole is a scholar working on Virology, Epidemiology and Immunology. According to data from OpenAlex, Elizabeth Read-Connole has authored 8 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Virology, 3 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Elizabeth Read-Connole's work include HIV Research and Treatment (3 papers), Viral-associated cancers and disorders (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Elizabeth Read-Connole is often cited by papers focused on HIV Research and Treatment (3 papers), Viral-associated cancers and disorders (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Elizabeth Read-Connole collaborates with scholars based in United States, Australia and Malaysia. Elizabeth Read-Connole's co-authors include Robert Yarchoan, David A. Davis, J. Paul Zoeteweij, Andrew Blauvelt, Andrea S. Rinderknecht, Yoshiyasu Aoki, Giovanna Tosato, Karen Aleman, L O Arthur and Peter Wernet and has published in prestigious journals such as Blood, The Journal of Immunology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Elizabeth Read-Connole

8 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Read-Connole United States 5 209 156 61 50 49 8 301
Rebecca Hines‐Boykin United States 7 217 1.0× 139 0.9× 40 0.7× 33 0.7× 76 1.6× 8 295
Semra Kati Germany 10 217 1.0× 183 1.2× 59 1.0× 90 1.8× 50 1.0× 10 335
Ketty Gianesin Italy 12 133 0.6× 132 0.8× 106 1.7× 101 2.0× 52 1.1× 18 431
Kim Ward United Kingdom 5 190 0.9× 154 1.0× 87 1.4× 23 0.5× 57 1.2× 5 284
L. Karran United Kingdom 6 318 1.5× 108 0.7× 53 0.9× 55 1.1× 112 2.3× 6 365
L M Poulsen Australia 8 330 1.6× 134 0.9× 239 3.9× 40 0.8× 123 2.5× 8 423
Carol Quink United States 10 313 1.5× 251 1.6× 107 1.8× 22 0.4× 98 2.0× 10 386
Daniel A. Kuppers United States 10 442 2.1× 358 2.3× 47 0.8× 159 3.2× 89 1.8× 13 610
Liangjin Zhu United States 5 386 1.8× 314 2.0× 44 0.7× 38 0.8× 58 1.2× 8 442
Coral K. Wille United States 10 217 1.0× 82 0.5× 50 0.8× 134 2.7× 57 1.2× 12 332

Countries citing papers authored by Elizabeth Read-Connole

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Read-Connole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth Read-Connole. 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 Elizabeth Read-Connole. The network helps show where Elizabeth Read-Connole may publish in the future.

Co-authorship network of co-authors of Elizabeth Read-Connole

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Read-Connole. A scholar is included among the top collaborators of Elizabeth Read-Connole 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 Elizabeth Read-Connole. Elizabeth Read-Connole 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.
Witkin, Keren L., Sean E. Hanlon, John M. Coffin, et al.. (2014). RNA editing, epitranscriptomics, and processing in cancer progression. Cancer Biology & Therapy. 16(1). 21–27. 14 indexed citations
2.
Little, Richard F., Karen Aleman, Pallavi Kumar, et al.. (2007). Phase 2 study of pegylated liposomal doxorubicin in combination with interleukin-12 for AIDS-related Kaposi sarcoma. Blood. 110(13). 4165–4171. 39 indexed citations
3.
Davis, David A., Elizabeth Read-Connole, Kara Pearson, et al.. (2002). Oxidative Modifications of Kynostatin-272, a Potent Human Immunodeficiency Virus Type 1 Protease Inhibitor: Potential Mechanism for Altered Activity in Monocytes/Macrophages. Antimicrobial Agents and Chemotherapy. 46(2). 402–408. 4 indexed citations
4.
Davis, David A., Andrea S. Rinderknecht, J. Paul Zoeteweij, et al.. (2001). Hypoxia induces lytic replication of Kaposi sarcoma–associated herpesvirus. Blood. 97(10). 3244–3250. 202 indexed citations
5.
Reitz, M S, W. Carl Saxinger, LEOTA HALL, et al.. (1994). Partial Envelope Sequences from Some of the Earliest Isolates of HIV-1. AIDS Research and Human Retroviruses. 10(5). 621–623. 2 indexed citations
6.
Read-Connole, Elizabeth, et al.. (1990). Nucleotide Sequences Homologous to Mammalian Proto-oncogenes and Their Expression in Fish Cell Lines. Journal of Aquatic Animal Health. 2(2). 77–84. 3 indexed citations
7.
Mann, Douglas L., Elizabeth Read-Connole, L O Arthur, et al.. (1988). HLA-DR is involved in the HIV-1 binding site on cells expressing MHC class II antigens.. The Journal of Immunology. 141(4). 1131–1136. 34 indexed citations
8.
Popovic, M, Elizabeth Read-Connole, & S Gartner. (1987). Biological properties of HTLV-III/LAV: a possible pathway of natural infection in vivo.. PubMed. 137D(3). 413–7. 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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