Anthony D’Ippolito

6.5k total citations · 2 hit papers
20 papers, 2.6k citations indexed

About

Anthony D’Ippolito is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anthony D’Ippolito has authored 20 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anthony D’Ippolito's work include Advanced Breast Cancer Therapies (5 papers), Genomics and Chromatin Dynamics (5 papers) and CRISPR and Genetic Engineering (4 papers). Anthony D’Ippolito is often cited by papers focused on Advanced Breast Cancer Therapies (5 papers), Genomics and Chromatin Dynamics (5 papers) and CRISPR and Genetic Engineering (4 papers). Anthony D’Ippolito collaborates with scholars based in United States and Canada. Anthony D’Ippolito's co-authors include Timothy E. Reddy, Charles A. Gersbach, Gregory E. Crawford, Pratiksha I. Thakore, Christopher M. Vockley, Isaac B. Hilton, Alexias Safi, Lingyun Song, Ami M. Kabadi and Ian C. McDowell and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Anthony D’Ippolito

15 papers receiving 2.6k 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.

Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers

2015 1.3k citations Isaac B. Hilton, Anthony D’Ippolito et al. Nature Biotechnology profile →
Highly specific epigenome editing by CRISPR-Cas9 repressors for silencing of distal regulatory elements

2015 690 citations Pratiksha I. Thakore, Anthony D’Ippolito et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anthony D’Ippolito United States	10	2.3k	484	213	185	170	20	2.6k
Takuro Horii Japan	26	2.3k 1.0×	628 1.3×	135 0.6×	355 1.9×	143 0.8×	68	2.6k
Mika Kimura Japan	23	1.7k 0.7×	467 1.0×	107 0.5×	318 1.7×	105 0.6×	40	2.0k
Daniel Benjamin Dadon United States	6	1.9k 0.8×	404 0.8×	204 1.0×	116 0.6×	128 0.8×	7	2.0k
Noah Davidsohn United States	8	1.7k 0.7×	279 0.6×	112 0.5×	83 0.4×	214 1.3×	9	1.9k
Martin Teichmann France	29	2.6k 1.1×	345 0.7×	176 0.8×	350 1.9×	64 0.4×	47	3.0k
Daniel P. Dever United States	17	2.4k 1.0×	947 2.0×	93 0.4×	69 0.4×	118 0.7×	28	2.9k
Ryan L. Collins United States	15	1.0k 0.4×	471 1.0×	78 0.4×	52 0.3×	68 0.4×	28	1.3k
Jan Parker‐Thornburg United States	20	1.4k 0.6×	420 0.9×	47 0.2×	278 1.5×	70 0.4×	35	2.2k
Szymon Czauderna Poland	5	945 0.4×	230 0.5×	59 0.3×	105 0.6×	54 0.3×	7	1.1k
Andrew Gregg United States	7	905 0.4×	205 0.4×	50 0.2×	49 0.3×	94 0.6×	10	1.1k

Countries citing papers authored by Anthony D’Ippolito

Since Specialization

Citations

This map shows the geographic impact of Anthony D’Ippolito'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’Ippolito 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’Ippolito more than expected).

Fields of papers citing papers by Anthony D’Ippolito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Berchuck, Jacob E., Praful Ravi, Anthony D’Ippolito, et al.. (2025). Plasma epigenomic profiling to reveal molecular correlates of response and resistance to 177Lu-PSMA-617 in metastatic castration-resistant prostate cancer (mCRPC).. Journal of Clinical Oncology. 43(16_suppl). 5074–5074.

Garrido-Castro, Ana C., Aparna Gorthi, Se Eun Kim, et al.. (2025). Cell-free circulating chromatin profiling for epigenomic characterization of mechanisms of response and resistance to sacituzumab govitecan in breast cancer.. Journal of Clinical Oncology. 43(16_suppl). 1081–1081.

Morganti, Stefania, Jonathan A. Beagan, Anthony D’Ippolito, et al.. (2024). Novel epigenomic liquid biopsy assay to predict estrogen receptor (ER) status and to infer ER pathway activation in breast cancer.. Journal of Clinical Oncology. 42(16_suppl). 1066–1066.

Fiore, Christopher, et al.. (2023). Erythroid lineage chromatin accessibility maps facilitate identification and validation of NFIX as a fetal hemoglobin repressor. Communications Biology. 6(1). 640–640. 5 indexed citations

Johannessen, Liv, et al.. (2021). 14P Preclinical evaluation of intermittent dosing regimens on antitumor and PD activity of SY-5609, a potent and selective oral CDK7 inhibitor, in ovarian cancer xenografts. Annals of Oncology. 32. S365–S365. 1 indexed citations

Johannessen, Liv, et al.. (2021). SY5609, a Potent and Selective CDK7 Inhibitor, Potentiates BTK Inhibitor Activity in Mantle Cell Lymphoma Preclinical Models. Blood. 138(Supplement 1). 1205–1205. 1 indexed citations

Sharma, Manish, Babar Bashir, Erika Hamilton, et al.. (2021). 518MO Tolerability and preliminary clinical activity of SY-5609, a highly potent and selective oral CDK7 inhibitor, in patients with advanced solid tumors. Annals of Oncology. 32. S587–S588. 6 indexed citations

Johannessen, Liv, Nan Rosemary Ke, Anthony D’Ippolito, et al.. (2020). Activity of SY-5609, an oral, noncovalent, potent, and selective CDK7 inhibitor, in preclinical models of colorectal cancer.. Journal of Clinical Oncology. 38(15_suppl). 3585–3585. 3 indexed citations

Johannessen, Liv, Shanhu Hu, Nan Rosemary Ke, et al.. (2019). Abstract C091: Preclinical evaluation of PK, PD, and antitumor activity of the oral, non-covalent, potent and highly selective CDK7 inhibitor, SY-5609, provides rationale for clinical development in multiple solid tumor indications. Molecular Cancer Therapeutics. 18(12_Supplement). C091–C091. 9 indexed citations

10.

Johnson, Graham D., Alejandro Barrera, Ian C. McDowell, et al.. (2018). Human genome-wide measurement of drug-responsive regulatory activity. Nature Communications. 9(1). 5317–5317. 29 indexed citations

11.

D’Ippolito, Anthony, Ian C. McDowell, Alejandro Barrera, et al.. (2018). Pre-established Chromatin Interactions Mediate the Genomic Response to Glucocorticoids. Cell Systems. 7(2). 146–160.e7. 61 indexed citations

12.

McDowell, Ian C., Alejandro Barrera, Anthony D’Ippolito, et al.. (2018). Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding. Genome Research. 28(9). 1272–1284. 79 indexed citations

13.

Vockley, Christopher M., Anthony D’Ippolito, Ian C. McDowell, et al.. (2016). Direct GR Binding Sites Potentiate Clusters of TF Binding across the Human Genome. Cell. 166(5). 1269–1281.e19. 123 indexed citations

14.

Black, Joshua B., Andrew F. Adler, Hong‐Gang Wang, et al.. (2016). Targeted Epigenetic Remodeling of Endogenous Loci by CRISPR/Cas9-Based Transcriptional Activators Directly Converts Fibroblasts to Neuronal Cells. Cell stem cell. 19(3). 406–414. 169 indexed citations

15.

Thakore, Pratiksha I., Anthony D’Ippolito, Lingyun Song, et al.. (2015). Highly specific epigenome editing by CRISPR-Cas9 repressors for silencing of distal regulatory elements. Nature Methods. 12(12). 1143–1149. 690 indexed citations breakdown →

16.

Hilton, Isaac B., Anthony D’Ippolito, Christopher M. Vockley, et al.. (2015). Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers. Nature Biotechnology. 33(5). 510–517. 1343 indexed citations breakdown →

17.

Meredith, Gavin, Anthony D’Ippolito, Anthony P. Popkie, et al.. (2015). Glycogen synthase kinase-3 (Gsk-3) plays a fundamental role in maintaining DNA methylation at imprinted loci in mouse embryonic stem cells. Molecular Biology of the Cell. 26(11). 2139–2150. 6 indexed citations

18.

Thakore, Pratiksha I., Anthony D’Ippolito, Lingyun Song, et al.. (2015). 485. Targeted Epigenome Editing by CRISPR/Cas9-Based Repressors for Silencing of Distal Regulatory Elements. Molecular Therapy. 23. S192–S193.

19.

Popkie, Anthony P., Anthony D’Ippolito, Sigrid Eckardt, et al.. (2010). Phosphatidylinositol 3-Kinase (PI3K) Signaling via Glycogen Synthase Kinase-3 (Gsk-3) Regulates DNA Methylation of Imprinted Loci. Journal of Biological Chemistry. 285(53). 41337–41347. 68 indexed citations

20.

D’Ippolito, Anthony, Christy L. Collins, & R. Dawn Comstock. (2010). Epidemiology of Pediatric Holiday-Related Injuries Presenting to US Emergency Departments. PEDIATRICS. 125(5). 931–937. 30 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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