Jamie L. Planck

2.5k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Jamie L. Planck is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jamie L. Planck has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Immunology. Recurrent topics in Jamie L. Planck's work include PARP inhibition in cancer therapy (5 papers), DNA Repair Mechanisms (4 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). Jamie L. Planck is often cited by papers focused on PARP inhibition in cancer therapy (5 papers), DNA Repair Mechanisms (4 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). Jamie L. Planck collaborates with scholars based in United States, Australia and China. Jamie L. Planck's co-authors include John M. Pascal, Marie-France Langelier, Swati Roy, Donald D. Ruhl, W. Lee Kraus, Robert Levis, Roger A. Hoskins, Benjamin Ohlstein, Terence D. Murphy and Anna K. Allen and has published in prestigious journals such as Science, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Jamie L. Planck

8 papers receiving 1.6k citations

Hit Papers

Structural Basis for DNA ... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie L. Planck United States 8 1.2k 911 294 285 187 8 1.6k
Gyula Timinszky Germany 20 1.5k 1.3× 1.4k 1.5× 245 0.8× 444 1.6× 51 0.3× 33 2.2k
Sebastian Eustermann Germany 21 1.8k 1.6× 513 0.6× 136 0.5× 176 0.6× 123 0.7× 30 2.1k
Françoise Apiou France 17 1.4k 1.2× 753 0.8× 140 0.5× 185 0.6× 96 0.5× 25 1.8k
Hana Hanzlíková Czechia 17 1.2k 1.1× 838 0.9× 109 0.4× 127 0.4× 40 0.2× 30 1.5k
Sara C. Buch-Larsen Denmark 14 1.1k 0.9× 691 0.8× 123 0.4× 247 0.9× 99 0.5× 21 1.5k
Shar-yin N. Huang United States 19 1.7k 1.5× 1.1k 1.2× 106 0.4× 136 0.5× 69 0.4× 39 2.0k
Zhizhi Wang United States 18 925 0.8× 234 0.3× 45 0.2× 87 0.3× 177 0.9× 23 1.2k
Glen Liszczak United States 15 1.2k 1.1× 532 0.6× 25 0.1× 77 0.3× 65 0.3× 25 1.5k
Takafumi Miyamoto Japan 17 1.1k 1.0× 125 0.1× 41 0.1× 82 0.3× 210 1.1× 44 1.5k
Charles Romeo United States 13 975 0.8× 455 0.5× 20 0.1× 1.1k 3.7× 59 0.3× 18 1.9k

Countries citing papers authored by Jamie L. Planck

Since Specialization
Citations

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

Fields of papers citing papers by Jamie L. Planck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie L. Planck. 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 Jamie L. Planck. The network helps show where Jamie L. Planck may publish in the future.

Co-authorship network of co-authors of Jamie L. Planck

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie L. Planck. A scholar is included among the top collaborators of Jamie L. Planck 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 Jamie L. Planck. Jamie L. Planck 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.
Steffen, Jamin D., Renee Tholey, Marie-France Langelier, et al.. (2013). Targeting PARP-1 Allosteric Regulation Offers Therapeutic Potential against Cancer. Cancer Research. 74(1). 31–37. 52 indexed citations
2.
Yang, Heng, Jian Luo, Dawei Li, et al.. (2013). Small-Molecule Inhibitors of Acetyltransferase p300 Identified by High-Throughput Screening Are Potent Anticancer Agents. Molecular Cancer Therapeutics. 12(5). 610–620. 82 indexed citations
3.
Horiuchi, Kurumi Y., et al.. (2013). Assay Development for Histone Methyltransferases. Assay and Drug Development Technologies. 11(4). 227–236. 61 indexed citations
4.
Langelier, Marie-France, Jamie L. Planck, Swati Roy, & John M. Pascal. (2012). Structural Basis for DNA Damage–Dependent Poly(ADP-ribosyl)ation by Human PARP-1. Science. 336(6082). 728–732. 530 indexed citations breakdown →
5.
Langelier, Marie-France, et al.. (2011). Purification of Human PARP-1 and PARP-1 Domains from Escherichia coli for Structural and Biochemical Analysis. Methods in molecular biology. 780. 209–226. 82 indexed citations
6.
Langelier, Marie-France, Jamie L. Planck, Swati Roy, & John M. Pascal. (2011). Crystal Structures of Poly(ADP-ribose) Polymerase-1 (PARP-1) Zinc Fingers Bound to DNA. Journal of Biological Chemistry. 286(12). 10690–10701. 206 indexed citations
7.
Langelier, Marie-France, Donald D. Ruhl, Jamie L. Planck, W. Lee Kraus, & John M. Pascal. (2010). The Zn3 Domain of Human Poly(ADP-ribose) Polymerase-1 (PARP-1) Functions in Both DNA-dependent Poly(ADP-ribose) Synthesis Activity and Chromatin Compaction. Journal of Biological Chemistry. 285(24). 18877–18887. 139 indexed citations
8.
Buszczak, Michael, Julia L. Bachman, Jamie L. Planck, et al.. (2006). The Carnegie Protein Trap Library: A Versatile Tool for Drosophila Developmental Studies. Genetics. 175(3). 1505–1531. 453 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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