Daniel L. Kaplan

1.8k total citations
46 papers, 1.4k citations indexed

About

Daniel L. Kaplan is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Daniel L. Kaplan has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 11 papers in Genetics and 5 papers in Cell Biology. Recurrent topics in Daniel L. Kaplan's work include DNA Repair Mechanisms (31 papers), Genomics and Chromatin Dynamics (12 papers) and DNA and Nucleic Acid Chemistry (11 papers). Daniel L. Kaplan is often cited by papers focused on DNA Repair Mechanisms (31 papers), Genomics and Chromatin Dynamics (12 papers) and DNA and Nucleic Acid Chemistry (11 papers). Daniel L. Kaplan collaborates with scholars based in United States, Netherlands and Germany. Daniel L. Kaplan's co-authors include Mike O’Donnell, Irina Bruck, Christopher B. Keys, Megan J. Davey, Walter F. Boron, Fabricio E. Balcázar, Yolanda Suarez‐Balcazar, Robert M. Brosh, Joshua A. Sommers and Thomas A. Steitz 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

Daniel L. Kaplan

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel L. Kaplan United States 21 1.1k 305 148 118 92 46 1.4k
Laura J. Bailey United Kingdom 22 1.2k 1.1× 134 0.4× 134 0.9× 200 1.7× 220 2.4× 34 1.7k
Bettina L. Knapp Germany 24 728 0.7× 109 0.4× 115 0.8× 64 0.5× 89 1.0× 212 1.8k
Nicola Martin United States 35 2.1k 2.0× 171 0.6× 92 0.6× 201 1.7× 24 0.3× 94 2.8k
David A. Goldberg United States 18 726 0.7× 251 0.8× 53 0.4× 272 2.3× 51 0.6× 46 1.9k
Michael H. Sayre United States 20 2.2k 2.0× 320 1.0× 87 0.6× 110 0.9× 56 0.6× 30 2.5k
Katherine L. Friedman United States 18 1.5k 1.4× 171 0.6× 156 1.1× 62 0.5× 38 0.4× 36 1.8k
Botao Liu United States 16 857 0.8× 167 0.5× 87 0.6× 37 0.3× 62 0.7× 25 1.2k
Amanda Frank United States 13 581 0.5× 94 0.3× 130 0.9× 221 1.9× 82 0.9× 16 1.1k
Christopher A. Powell United Kingdom 25 1.8k 1.6× 114 0.4× 54 0.4× 95 0.8× 321 3.5× 36 2.2k
Stephanie Richards United States 14 1.1k 1.0× 77 0.3× 221 1.5× 179 1.5× 70 0.8× 24 1.4k

Countries citing papers authored by Daniel L. Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel L. Kaplan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Kaplan. A scholar is included among the top collaborators of Daniel L. Kaplan 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 Daniel L. Kaplan. Daniel L. Kaplan 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.
Bruck, Irina, et al.. (2017). An intact Mcm10 coiled-coil interaction surface is important for origin melting, helicase assembly and the recruitment of Pol-α to Mcm2–7. Nucleic Acids Research. 45(12). 7261–7275. 8 indexed citations
2.
Bruck, Irina, et al.. (2017). A Positive Amplification Mechanism Involving a Kinase and Replication Initiation Factor Helps Assemble the Replication Fork Helicase. Journal of Biological Chemistry. 292(8). 3062–3073. 4 indexed citations
3.
Bruck, Irina, et al.. (2017). Dpb11 may function with RPA and DNA to initiate DNA replication. PLoS ONE. 12(5). e0177147–e0177147. 2 indexed citations
4.
Bruck, Irina, et al.. (2015). Mcm10 coordinates the timely assembly and activation of the replication fork helicase. Nucleic Acids Research. 44(1). 315–329. 29 indexed citations
5.
Bharti, Sanjay Kumar, Joshua A. Sommers, Jun Zhou, et al.. (2014). DNA Sequences Proximal to Human Mitochondrial DNA Deletion Breakpoints Prevalent in Human Disease Form G-quadruplexes, a Class of DNA Structures Inefficiently Unwound by the Mitochondrial Replicative Twinkle Helicase. Journal of Biological Chemistry. 289(43). 29975–29993. 105 indexed citations
6.
Khan, Irfan, Avvaru N. Suhasini, Taraswi Banerjee, et al.. (2014). Impact of Age-Associated Cyclopurine Lesions on DNA Repair Helicases. PLoS ONE. 9(11). e113293–e113293. 20 indexed citations
7.
Bruck, Irina & Daniel L. Kaplan. (2013). Cdc45 Protein-Single-stranded DNA Interaction Is Important for Stalling the Helicase during Replication Stress. Journal of Biological Chemistry. 288(11). 7550–7563. 31 indexed citations
8.
Suhasini, Avvaru N., Joshua A. Sommers, Stephen Yu, et al.. (2012). DNA Repair and Replication Fork Helicases Are Differentially Affected by Alkyl Phosphotriester Lesion. Journal of Biological Chemistry. 287(23). 19188–19198. 22 indexed citations
9.
Kaplan, Daniel L. & Irina Bruck. (2010). Methods to study kinase regulation of the replication fork helicase. Methods. 51(3). 358–362. 1 indexed citations
10.
Ribeck, Noah, Daniel L. Kaplan, Irina Bruck, & Omar A. Saleh. (2010). DnaB Helicase Activity Is Modulated by DNA Geometry and Force. Biophysical Journal. 99(7). 2170–2179. 54 indexed citations
11.
Bruck, Irina & Daniel L. Kaplan. (2009). Dbf4-Cdc7 Phosphorylation of Mcm2 Is Required for Cell Growth. Journal of Biological Chemistry. 284(42). 28823–28831. 55 indexed citations
12.
Kaplan, Daniel L. & Irina Bruck. (2009). Methods to Study How Replication Fork Helicases Unwind DNA. Methods in molecular biology. 587. 127–135. 3 indexed citations
13.
Kaplan, Daniel L. & Deepak Bastia. (2009). Mechanisms of polar arrest of a replication fork. Molecular Microbiology. 72(2). 279–285. 23 indexed citations
14.
Bruck, Irina, et al.. (2008). Mcm Subunits Can Assemble into Two Different Active Unwinding Complexes. Journal of Biological Chemistry. 283(45). 31172–31182. 27 indexed citations
15.
Kaplan, Daniel L.. (2006). Replication Termination: Mechanism of Polar Arrest Revealed. Current Biology. 16(17). R684–R686. 4 indexed citations
16.
Kaplan, Daniel L. & Mike O’Donnell. (2005). RuvA is a Sliding Collar that Protects Holliday Junctions from Unwinding while Promoting Branch Migration. Journal of Molecular Biology. 355(3). 473–490. 7 indexed citations
17.
Kaplan, Daniel L. & Mike O’Donnell. (2002). DnaB Drives DNA Branch Migration and Dislodges Proteins While Encircling Two DNA Strands. Molecular Cell. 10(3). 647–657. 126 indexed citations
18.
Lyon, Thomas D., Karen J. Saywitz, Daniel L. Kaplan, & Joyce S. Dorado. (2001). Reducing maltreated children's reluctance to answer hypothetical oath-taking competency questions.. Law and Human Behavior. 25(1). 81–92. 12 indexed citations
19.
Kaplan, Daniel L. & Thomas A. Steitz. (1999). DnaB from Thermus aquaticus Unwinds Forked Duplex DNA with an Asymmetric Tail Length Dependence. Journal of Biological Chemistry. 274(11). 6889–6897. 33 indexed citations
20.
Kaplan, Daniel L., et al.. (1994). Estrogen modulates parathyroid hormone-induced fibronectin production in human and rat osteoblast-like cells.. Endocrinology. 135(4). 1639–1644. 19 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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