John J. Turchi

6.1k total citations · 1 hit paper
103 papers, 4.7k citations indexed

About

John J. Turchi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, John J. Turchi has authored 103 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 31 papers in Oncology and 18 papers in Cancer Research. Recurrent topics in John J. Turchi's work include DNA Repair Mechanisms (80 papers), DNA and Nucleic Acid Chemistry (33 papers) and Cancer therapeutics and mechanisms (18 papers). John J. Turchi is often cited by papers focused on DNA Repair Mechanisms (80 papers), DNA and Nucleic Acid Chemistry (33 papers) and Cancer therapeutics and mechanisms (18 papers). John J. Turchi collaborates with scholars based in United States, Russia and Netherlands. John J. Turchi's co-authors include Steve M. Patrick, Karen M. Henkels, Robert A. Bambara, Katherine S. Pawelczak, Sarah C. Shuck, Pamela S. VanderVere-Carozza, Shadia I. Jalal, Catherine R. Sears, Navnath S. Gavande and Lin Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John J. Turchi

101 papers receiving 4.6k citations

Hit Papers

Replication gaps are a key determinant of PARP inhibitor ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John J. Turchi United States 40 4.0k 1.6k 792 401 293 103 4.7k
Bernard Salles France 43 4.5k 1.1× 2.0k 1.3× 1.4k 1.8× 480 1.2× 237 0.8× 134 6.0k
Shigeo Sato Japan 41 4.4k 1.1× 1.9k 1.2× 1.0k 1.3× 453 1.1× 225 0.8× 71 6.4k
Moulay A. Alaoui‐Jamali Canada 42 3.1k 0.8× 1.3k 0.8× 792 1.0× 338 0.8× 277 0.9× 138 4.8k
Yvonne Ottaviano United States 12 3.2k 0.8× 1.4k 0.9× 665 0.8× 638 1.6× 348 1.2× 21 4.5k
Gennadi V. Glinsky United States 32 2.8k 0.7× 1.0k 0.7× 825 1.0× 303 0.8× 174 0.6× 75 4.1k
Peter J. McHugh United Kingdom 36 3.3k 0.8× 1.1k 0.7× 756 1.0× 342 0.9× 170 0.6× 74 4.1k
Catherine L. Day New Zealand 38 6.1k 1.5× 1.8k 1.1× 745 0.9× 237 0.6× 346 1.2× 81 7.4k
Binghui Shen United States 47 5.9k 1.5× 918 0.6× 897 1.1× 819 2.0× 364 1.2× 145 6.6k
Lisa Wiesmüller Germany 42 4.6k 1.2× 2.4k 1.5× 824 1.0× 487 1.2× 261 0.9× 136 5.8k

Countries citing papers authored by John J. Turchi

Since Specialization
Citations

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

Fields of papers citing papers by John J. Turchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Turchi. 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 John J. Turchi. The network helps show where John J. Turchi may publish in the future.

Co-authorship network of co-authors of John J. Turchi

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

All Works

20 of 20 papers shown
1.
Pawelczak, Katherine S., et al.. (2025). Targeting DNA damage sensors for cancer therapy. DNA repair. 149. 103841–103841. 2 indexed citations
2.
Surendran, Sneha, et al.. (2025). Biochemical impact of p300-mediated acetylation of replication protein A: Implications for DNA metabolic pathway choice. Journal of Biological Chemistry. 301(6). 110250–110250.
3.
Oakley, Greg G., et al.. (2024). The effect of replication protein A inhibition and post-translational modification on ATR kinase signaling. Scientific Reports. 14(1). 19791–19791. 2 indexed citations
4.
Heyza, Joshua, Christopher K. Yunker, Lisa Polin, et al.. (2023). ATR inhibition overcomes platinum tolerance associated with ERCC1- and p53-deficiency by inducing replication catastrophe. NAR Cancer. 5(1). zcac045–zcac045. 4 indexed citations
5.
Zhang, Youwei, et al.. (2023). The mechanistic role of cardiac glycosides in DNA damage response and repair signaling. Cellular and Molecular Life Sciences. 80(9). 250–250. 10 indexed citations
6.
Gavande, Navnath S., Pamela S. VanderVere-Carozza, Katherine S. Pawelczak, et al.. (2020). Discovery and development of novel DNA-PK inhibitors by targeting the unique Ku–DNA interaction. Nucleic Acids Research. 48(20). 11536–11550. 25 indexed citations
7.
Sriramkumar, Shruthi, Timothy D. Matthews, Samuel A. Miller, et al.. (2020). Platinum-Induced Ubiquitination of Phosphorylated H2AX by RING1A Is Mediated by Replication Protein A in Ovarian Cancer. Molecular Cancer Research. 18(11). 1699–1710. 9 indexed citations
8.
Gavande, Navnath S., Pamela S. VanderVere-Carozza, Hilary D. Hinshaw, et al.. (2016). DNA repair targeted therapy: The past or future of cancer treatment?. PMC. 4 indexed citations
9.
Turchi, John J., et al.. (2015). Chemical inhibitor targeting the replication protein A-DNA interaction increases the efficacy of Pt-based chemotherapy in lung and ovarian cancer. PMC. 1 indexed citations
10.
Fang, Fang, Joanne M. Munck, Jessica Tang, et al.. (2014). The Novel, Small-Molecule DNA Methylation Inhibitor SGI-110 as an Ovarian Cancer Chemosensitizer. Clinical Cancer Research. 20(24). 6504–6516. 81 indexed citations
11.
Peng, Xiaodong, Fang Wang, Liwei Li, et al.. (2013). Exploring a structural protein–drug interactome for new therapeutics in lung cancer. Molecular BioSystems. 10(3). 581–591. 12 indexed citations
12.
Sears, Catherine R. & John J. Turchi. (2012). Complex Cisplatin-Double Strand Break (DSB) Lesions Directly Impair Cellular Non-Homologous End-Joining (NHEJ) Independent of Downstream Damage Response (DDR) Pathways. Journal of Biological Chemistry. 287(29). 24263–24272. 46 indexed citations
13.
Bodenmiller, Diane, et al.. (2011). Novel Irreversible Small Molecule Inhibitors of Replication Protein A Display Single-Agent Activity and Synergize with Cisplatin. Molecular Cancer Therapeutics. 10(10). 1796–1806. 43 indexed citations
14.
15.
Pawelczak, Katherine S., et al.. (2010). Coordination of DNA–PK Activation and Nuclease Processing of DNA Termini in NHEJ. Antioxidants and Redox Signaling. 14(12). 2531–2543. 25 indexed citations
16.
Shuck, Sarah C., et al.. (2010). Targeting the OB‐Folds of Replication Protein A with Small Molecules. Journal of Nucleic Acids. 2010(1). 304035–304035. 22 indexed citations
17.
Turchi, John J., et al.. (2009). Molecular analysis of Ku redox regulation. BMC Molecular Biology. 10(1). 86–86. 17 indexed citations
19.
Shuck, Sarah C., et al.. (2008). Eukaryotic nucleotide excision repair: from understanding mechanisms to influencing biology. Cell Research. 18(1). 64–72. 188 indexed citations
20.
Patrick, Steve M. & John J. Turchi. (1999). Replication Protein A (RPA) Binding to Duplex Cisplatin-damaged DNA Is Mediated through the Generation of Single-stranded DNA. Journal of Biological Chemistry. 274(21). 14972–14978. 86 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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