Abigail Wolfe

4.4k total citations · 2 hit papers
24 papers, 3.4k citations indexed

About

Abigail Wolfe is a scholar working on Infectious Diseases, Molecular Biology and Virology. According to data from OpenAlex, Abigail Wolfe has authored 24 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 13 papers in Molecular Biology and 11 papers in Virology. Recurrent topics in Abigail Wolfe's work include HIV/AIDS drug development and treatment (13 papers), HIV Research and Treatment (11 papers) and Biochemical and Molecular Research (9 papers). Abigail Wolfe is often cited by papers focused on HIV/AIDS drug development and treatment (13 papers), HIV Research and Treatment (11 papers) and Biochemical and Molecular Research (9 papers). Abigail Wolfe collaborates with scholars based in United States and Norway. Abigail Wolfe's co-authors include Daria J. Hazuda, Peter J. Felock, Marc Witmer, Amy S. Espeseth, Jay A. Grobler, Kara A. Stillmock, William A. Schleif, Lori J. Gabryelski, Michael D. Miller and Douglas Martinez and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Abigail Wolfe

24 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inhibitors of Strand Transfer That Prevent Integration and Inhibit HIV-1 Replication in Cells

2000 922 citations Daria J. Hazuda, Peter J. Felock et al. Science profile →
Tumors secreting human TNF/cachectin induce cachexia in mice

1987 545 citations Allen Oliff, Deborah Defeo-Jones et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abigail Wolfe United States	19	2.0k	1.7k	1.6k	542	451	24	3.4k
Alfredo G. Tomasselli United States	32	610 0.3×	554 0.3×	2.3k 1.4×	1.2k 2.2×	368 0.8×	72	4.1k
Gianluca Sbardella Italy	38	584 0.3×	325 0.2×	2.3k 1.4×	133 0.2×	945 2.1×	107	3.7k
John O. Hui United States	19	500 0.3×	483 0.3×	602 0.4×	209 0.4×	123 0.3×	42	1.3k
Soumya S. Ray United States	27	332 0.2×	236 0.1×	1.4k 0.9×	291 0.5×	145 0.3×	41	2.2k
Ilene M. Reardon United States	24	424 0.2×	310 0.2×	1.3k 0.9×	511 0.9×	83 0.2×	35	2.3k
Paula Sherman United States	21	451 0.2×	427 0.2×	1.1k 0.7×	1.4k 2.6×	113 0.3×	34	3.4k
M. Claire Bartlett Canada	35	554 0.3×	207 0.1×	1.2k 0.8×	86 0.2×	103 0.2×	50	3.0k
Duncan Armour United Kingdom	10	531 0.3×	708 0.4×	520 0.3×	45 0.1×	186 0.4×	14	1.5k
Youcef Mehellou United Kingdom	20	567 0.3×	225 0.1×	1.1k 0.7×	55 0.1×	485 1.1×	40	1.9k
Subramaniam Ananthan United States	28	476 0.2×	94 0.1×	1.3k 0.8×	203 0.4×	559 1.2×	97	2.3k

Countries citing papers authored by Abigail Wolfe

Since Specialization

Citations

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

Fields of papers citing papers by Abigail Wolfe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abigail Wolfe

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Savage, Mary J., Juliya Kalinina, Abigail Wolfe, et al.. (2014). A Sensitive Aβ Oligomer Assay Discriminates Alzheimer's and Aged Control Cerebrospinal Fluid. Journal of Neuroscience. 34(8). 2884–2897. 125 indexed citations

Sando, Sigrid Botne, Guro Berge, Jan Aasly, et al.. (2012). P3‐095: Changes in core biomarkers in cerebrospinal fluid and cognitive ability in patients with Alzheimer's disease: A two‐year longitudinal study. Alzheimer s & Dementia. 8(4S_Part_13). 1 indexed citations

Wolfe, Abigail, Alexander McCampbell, Katherine Tugusheva, et al.. (2012). P2‐043: A quantitative assay selective for amyloid oligomer species differentiates cerebrospinal fluid from Alzheimer's disease and age‐matched normal. Alzheimer s & Dementia. 8(4S_Part_8). 3 indexed citations

Stachel, Shawn J., Thomas G. Steele, Alessia Petrocchi, et al.. (2011). Discovery of pyrrolidine-based β-secretase inhibitors: Lead advancement through conformational design for maintenance of ligand binding efficiency. Bioorganic & Medicinal Chemistry Letters. 22(1). 240–244. 22 indexed citations

Zhao, Weiqin, Dawn Toolan, Robert W. Hepler, et al.. (2011). High Throughput Monitoring of Amyloid-β42 Assembly into Soluble Oligomers Achieved by Sensitive Conformation State-Dependent Immunoassays. Journal of Alzheimer s Disease. 25(4). 655–669. 2 indexed citations

Savage, Mary J., Guoxin Wu, Alexander McCampbell, et al.. (2010). O3‐07‐03: A novel multivalent Abeta peptide vaccine with preclinical evidence of a central immune response that generates antisera recognizing a wide range of Abeta peptide species. Alzheimer s & Dementia. 6(4S_Part_5). 11 indexed citations

Stachel, Shawn J., Craig A. Coburn, Kristen L. Jones, et al.. (2009). Discovery of aminoheterocycles as a novel β-secretase inhibitor class: pH dependence on binding activity part 1. Bioorganic & Medicinal Chemistry Letters. 19(11). 2977–2980. 49 indexed citations

Zhao, Weiqin, Francesca Santini, Robert Breese, et al.. (2009). Inhibition of Calcineurin-mediated Endocytosis and α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid (AMPA) Receptors Prevents Amyloid β Oligomer-induced Synaptic Disruption. Journal of Biological Chemistry. 285(10). 7619–7632. 165 indexed citations

Shughrue, Paul J., Paul Acton, Robert Breese, et al.. (2008). Anti-ADDL antibodies differentially block oligomer binding to hippocampal neurons. Neurobiology of Aging. 31(2). 189–202. 37 indexed citations

10.

Zhuang, Linghang, John Wai, Mark W. Embrey, et al.. (2003). Design and Synthesis of 8-Hydroxy-[1,6]Naphthyridines as Novel Inhibitors of HIV-1 Integrase in Vitro and in Infected Cells. Journal of Medicinal Chemistry. 46(4). 453–456. 219 indexed citations

11.

Shaw-Reid, Cathryn A., Vandna Munshi, Pia Graham, et al.. (2003). Inhibition of HIV-1 Ribonuclease H by a Novel Diketo Acid, 4-[5-(Benzoylamino)thien-2-yl]-2,4-dioxobutanoic Acid. Journal of Biological Chemistry. 278(5). 2777–2780. 135 indexed citations

12.

Grobler, Jay A., Kara A. Stillmock, Marc Witmer, et al.. (2002). Diketo acid inhibitor mechanism and HIV-1 integrase: Implications for metal binding in the active site of phosphotransferase enzymes. Proceedings of the National Academy of Sciences. 99(10). 6661–6666. 321 indexed citations

13.

Chen, Zhongguo, Youwei Yan, Sanjeev Munshi, et al.. (2000). X-ray structure of simian immunodeficiency virus integrase containing the core and C-terminal domain (residues 50-293) - an initial glance of the viral DNA binding platform 1 1Edited by I. A. Wilson. Journal of Molecular Biology. 296(2). 521–533. 89 indexed citations

14.

Espeseth, Amy S., Peter J. Felock, Abigail Wolfe, et al.. (2000). HIV-1 integrase inhibitors that compete with the target DNA substrate define a unique strand transfer conformation for integrase. Proceedings of the National Academy of Sciences. 97(21). 11244–11249. 260 indexed citations

15.

Hazuda, Daria J., Peter J. Felock, Marc Witmer, et al.. (2000). Inhibitors of Strand Transfer That Prevent Integration and Inhibit HIV-1 Replication in Cells. Science. 287(5453). 646–650. 922 indexed citations breakdown →

16.

Hazuda, Daria J., Peter J. Felock, Abigail Wolfe, et al.. (1999). Isolation and Characterization of Novel Human Immunodeficiency Virus Integrase Inhibitors from Fungal Metabolites. Antiviral chemistry & chemotherapy. 10(2). 63–70. 84 indexed citations

17.

Hazuda, Daria J., et al.. (1997). Differential divalent cation requirements uncouple the assembly and catalytic reactions of human immunodeficiency virus type 1 integrase. Journal of Virology. 71(9). 7005–7011. 75 indexed citations

18.

Wolfe, Abigail, et al.. (1996). The role of manganese in promoting multimerization and assembly of human immunodeficiency virus type 1 integrase as a catalytically active complex on immobilized long terminal repeat substrates. Journal of Virology. 70(3). 1424–1432. 53 indexed citations

19.

Hazuda, Daria J., et al.. (1994). A novel assay for the DNA strand-transfer reaction of HIV-1 integrase. Nucleic Acids Research. 22(6). 1121–1122. 100 indexed citations

20.

Oliff, Allen, Deborah Defeo-Jones, Douglas Martinez, et al.. (1987). Tumors secreting human TNF/cachectin induce cachexia in mice. Cell. 50(4). 555–563. 545 indexed citations breakdown →

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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