Arach Goldar

1.4k total citations
39 papers, 1.0k citations indexed

About

Arach Goldar is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Arach Goldar has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Genetics. Recurrent topics in Arach Goldar's work include DNA Repair Mechanisms (24 papers), Genomics and Chromatin Dynamics (21 papers) and DNA and Nucleic Acid Chemistry (8 papers). Arach Goldar is often cited by papers focused on DNA Repair Mechanisms (24 papers), Genomics and Chromatin Dynamics (21 papers) and DNA and Nucleic Acid Chemistry (8 papers). Arach Goldar collaborates with scholars based in France, United Kingdom and Denmark. Arach Goldar's co-authors include Olivier Hyrien, Kathrin Marheineke, Guillaume Guilbaud, Benjamin Audit, A. Arnéodo, Marie‐Claude Marsolier‐Kergoat, Jean‐Louis Sikorav, Aurélien Rappailles, Chun-Long Chen and Yves d’Aubenton-Carafa and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Arach Goldar

38 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arach Goldar France 19 876 148 129 80 73 39 1.0k
Garry C. King Australia 21 989 1.1× 94 0.6× 55 0.4× 34 0.4× 138 1.9× 35 1.2k
Liangqi Xie United States 12 963 1.1× 92 0.6× 71 0.6× 98 1.2× 108 1.5× 21 1.3k
Miroslav Tomschik United States 21 1.3k 1.5× 59 0.4× 149 1.2× 80 1.0× 35 0.5× 30 1.6k
Hung‐Wen Li Taiwan 18 651 0.7× 122 0.8× 34 0.3× 48 0.6× 195 2.7× 56 860
Gregory K. Hampikian United States 5 558 0.6× 192 1.3× 49 0.4× 52 0.7× 84 1.2× 6 794
Michael L. Drummond United States 16 543 0.6× 56 0.4× 111 0.9× 46 0.6× 192 2.6× 31 1.0k
Marco Di Stefano Italy 19 737 0.8× 84 0.6× 26 0.2× 215 2.7× 88 1.2× 48 1.1k
Ivan Boldyrev Russia 17 561 0.6× 93 0.6× 58 0.4× 23 0.3× 76 1.0× 80 845
Robert DeRose United States 9 579 0.7× 108 0.7× 125 1.0× 51 0.6× 70 1.0× 11 766
P. Richard United States 23 1.5k 1.7× 93 0.6× 56 0.4× 81 1.0× 124 1.7× 45 2.0k

Countries citing papers authored by Arach Goldar

Since Specialization
Citations

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

Fields of papers citing papers by Arach Goldar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arach Goldar

This figure shows the co-authorship network connecting the top 25 collaborators of Arach Goldar. A scholar is included among the top collaborators of Arach Goldar 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 Arach Goldar. Arach Goldar 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
2.
Alberti, Adriana, et al.. (2024). A genome-wide comprehensive analysis of nucleosome positioning in yeast. PLoS Computational Biology. 20(1). e1011799–e1011799. 2 indexed citations
3.
Arbona, Jean‐Michel, et al.. (2023). Neural network and kinetic modelling of human genome replication reveal replication origin locations and strengths. PLoS Computational Biology. 19(5). e1011138–e1011138. 8 indexed citations
4.
Alberti, Adriana, et al.. (2023). Functional interplay between Mediator and RSC chromatin remodeling complex controls nucleosome-depleted region maintenance at promoters. Cell Reports. 42(5). 112465–112465. 7 indexed citations
5.
Wilkes, Cyril Denby, et al.. (2022). A quantitative modelling approach for DNA repair on a population scale. PLoS Computational Biology. 18(9). e1010488–e1010488. 1 indexed citations
6.
Wilkes, Cyril Denby, et al.. (2022). Genomic analysis of Rad26 and Rad1–Rad10 reveals differences in their dependence on Mediator and RNA polymerase II. Genome Research. 32(8). 1516–1528. 2 indexed citations
7.
Haccard, Olivier, et al.. (2021). Polo-like kinase 1 (Plk1) regulates DNA replication origin firing and interacts with Rif1 in Xenopus. Nucleic Acids Research. 49(17). 9851–9869. 14 indexed citations
8.
Haccard, Olivier, Jean‐Michel Arbona, Olivier Hyrien, et al.. (2021). Organization of DNA Replication Origin Firing in Xenopus Egg Extracts: The Role of Intra-S Checkpoint. Genes. 12(8). 1224–1224. 4 indexed citations
9.
Haccard, Olivier, et al.. (2020). Polo-like kinase 1 (Plk1) is a positive regulator of DNA replication in the Xenopus in vitro system. Cell Cycle. 19(14). 1817–1832. 13 indexed citations
10.
Goldar, Arach, et al.. (2019). On the Interplay of the DNA Replication Program and the Intra-S Phase Checkpoint Pathway. Genes. 10(2). 94–94. 26 indexed citations
11.
Arbona, Jean‐Michel, Arach Goldar, Olivier Hyrien, A. Arnéodo, & Benjamin Audit. (2018). The eukaryotic bell-shaped temporal rate of DNA replication origin firing emanates from a balance between origin activation and passivation. eLife. 7. 13 indexed citations
12.
Goldar, Arach, A. Arnéodo, Benjamin Audit, et al.. (2016). Deciphering DNA replication dynamics in eukaryotic cell populations in relation with their averaged chromatin conformations. Scientific Reports. 6(1). 22469–22469. 7 indexed citations
13.
Goldar, Arach, et al.. (2015). Tight Chk1 Levels Control Replication Cluster Activation in Xenopus. PLoS ONE. 10(6). e0129090–e0129090. 10 indexed citations
14.
Hyrien, Olivier, Aurélien Rappailles, Guillaume Guilbaud, et al.. (2013). From Simple Bacterial and Archaeal Replicons to Replication N/U-Domains. Journal of Molecular Biology. 425(23). 4673–4689. 23 indexed citations
15.
Audit, Benjamin, Antoine Baker, Chun-Long Chen, et al.. (2012). Multiscale analysis of genome-wide replication timing profiles using a wavelet-based signal-processing algorithm. Nature Protocols. 8(1). 98–110. 40 indexed citations
16.
Guilbaud, Guillaume, Aurélien Rappailles, Antoine Baker, et al.. (2011). Evidence for Sequential and Increasing Activation of Replication Origins along Replication Timing Gradients in the Human Genome. PLoS Computational Biology. 7(12). e1002322–e1002322. 114 indexed citations
17.
Hyrien, Olivier & Arach Goldar. (2009). Mathematical modelling of eukaryotic DNA replication. Chromosome Research. 18(1). 147–161. 36 indexed citations
18.
Marheineke, Kathrin, Arach Goldar, Torsten Krude, & Olivier Hyrien. (2009). Use of DNA Combing to Study DNA Replicationin Xenopus and Human Cell-Free Systems. Methods in molecular biology. 521. 575–603. 25 indexed citations
19.
Douarche, Carine, Jean‐Louis Sikorav, & Arach Goldar. (2007). Aggregation and Adsorption at the Air-Water Interface of Bacteriophage ϕX174 Single-Stranded DNA. Biophysical Journal. 94(1). 134–146. 7 indexed citations
20.
Hyrien, Olivier, Kathrin Marheineke, & Arach Goldar. (2003). Paradoxes of eukaryotic DNA replication: MCM proteins and the random completion problem. BioEssays. 25(2). 116–125. 160 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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