Gary P. Newnam

2.6k total citations
32 papers, 2.2k citations indexed

About

Gary P. Newnam is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Gary P. Newnam has authored 32 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Gary P. Newnam's work include Prion Diseases and Protein Misfolding (19 papers), RNA and protein synthesis mechanisms (7 papers) and Neurological diseases and metabolism (6 papers). Gary P. Newnam is often cited by papers focused on Prion Diseases and Protein Misfolding (19 papers), RNA and protein synthesis mechanisms (7 papers) and Neurological diseases and metabolism (6 papers). Gary P. Newnam collaborates with scholars based in United States, Russia and Egypt. Gary P. Newnam's co-authors include Yury O. Chernoff, Renee D. Wegrzyn, Michael Y. Sherman, Kim Allen, Susan Lindquist, Anatoli B. Meriin, Xiangwei He, Xiaoqian Zhang, Tatiana A. Chernova and Susan W. Liebman 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

Gary P. Newnam

32 papers receiving 2.2k citations

Peers

Gary P. Newnam

NEURO

CMN

Irina L. Derkatch United States

Dmitry Kryndushkin United States

С. Г. Инге-Вечтомов Russia

Michael D. Ter‐Avanesyan Russia

Herman K. Edskes United States

Renee D. Wegrzyn United States

Joo Y. Hong United States

Rebecca Aron United States

Gabriela P. Saborı́o United States

K M Pan China

Irina L. Derkatch United States

Gary P. Newnam

2.4k ×1.1

1.1k ×1.5

NEURO

687 ×1.5

220 ×0.6

145 ×0.5

CMN

Citations per year, relative to Gary P. Newnam Gary P. Newnam (= 1×) peers Irina L. Derkatch

Countries citing papers authored by Gary P. Newnam

Since Specialization

Citations

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

Fields of papers citing papers by Gary P. Newnam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary P. Newnam. 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 Gary P. Newnam. The network helps show where Gary P. Newnam may publish in the future.

Co-authorship network of co-authors of Gary P. Newnam

This figure shows the co-authorship network connecting the top 25 collaborators of Gary P. Newnam. A scholar is included among the top collaborators of Gary P. Newnam 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 Gary P. Newnam. Gary P. Newnam 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

Kundnani, Deepali L., et al.. (2024). Distinct features of ribonucleotides within genomic DNA in Aicardi-Goutières syndrome ortholog mutants of Saccharomyces cerevisiae. iScience. 27(6). 110012–110012. 2 indexed citations

Yang, Taehwan, Deepali L. Kundnani, Stefania Marsili, et al.. (2023). Light-strand bias and enriched zones of embedded ribonucleotides are associated with DNA replication and transcription in the human-mitochondrial genome. Nucleic Acids Research. 52(3). 1207–1225. 2 indexed citations

Karunakaran, Suneesh C., et al.. (2021). Supramolecular assembly-enabled homochiral polymerization of short (dA)_n oligonucleotides. Chemical Communications. 57(99). 13602–13605. 6 indexed citations

Yang, Taehwan, Gary P. Newnam, Havva Keskin, et al.. (2020). Ribonucleotide incorporation in yeast genomic DNA shows preference for cytosine and guanosine preceded by deoxyadenosine. Nature Communications. 11(1). 2447–2447. 21 indexed citations

Keskin, Havva, Olga M. Mazina, Taehwan Yang, et al.. (2020). Genetic Characterization of Three Distinct Mechanisms Supporting RNA-Driven DNA Repair and Modification Reveals Major Role of DNA Polymerase ζ. Molecular Cell. 79(6). 1037–1050.e5. 34 indexed citations

Malfatti, Matilde Clarissa, Ghislaine Henneke, Kyung Duk Koh, et al.. (2019). Unlike the Escherichia coli counterpart, archaeal RNase HII cannot process ribose monophosphate abasic sites and oxidized ribonucleotides embedded in DNA. Journal of Biological Chemistry. 294(35). 13061–13072. 12 indexed citations

Yang, Taehwan, et al.. (2019). Capture of Ribonucleotides in Yeast Genomic DNA Using Ribose-Seq. Methods in molecular biology. 2049. 17–37. 5 indexed citations

Okamoto, Atsushi, et al.. (2017). Proteolysis suppresses spontaneous prion generation in yeast. Journal of Biological Chemistry. 292(49). 20113–20124. 10 indexed citations

Zaarur, Nava, Xiaobin Xu, Patrick Lestienne, et al.. (2015). RuvbL1 and RuvbL2 enhance aggresome formation and disaggregate amyloid fibrils. The EMBO Journal. 34(18). 2363–2382. 42 indexed citations

10.

Ali, Moiez, Tatiana A. Chernova, Gary P. Newnam, et al.. (2014). Stress-dependent Proteolytic Processing of the Actin Assembly Protein Lsb1 Modulates a Yeast Prion. Journal of Biological Chemistry. 289(40). 27625–27639. 25 indexed citations

11.

Gong, He, Nina V. Romanova, Kim Allen, et al.. (2012). Polyglutamine Toxicity Is Controlled by Prion Composition and Gene Dosage in Yeast. PLoS Genetics. 8(4). e1002634–e1002634. 45 indexed citations

12.

Newnam, Gary P., et al.. (2011). Destabilization and Recovery of a Yeast Prion after Mild Heat Shock. Journal of Molecular Biology. 408(3). 432–448. 71 indexed citations

13.

Chen, Buxin, et al.. (2010). Genetic and epigenetic control of the efficiency and fidelity of cross-species prion transmission. Molecular Microbiology. 76(6). 1483–1499. 41 indexed citations

14.

Newnam, Gary P., et al.. (2005). Modulation of Prion-dependent Polyglutamine Aggregation and Toxicity by Chaperone Proteins in the Yeast Model. Journal of Biological Chemistry. 280(24). 22809–22818. 117 indexed citations

15.

Müller, Susanne, et al.. (2005). Prion variant maintained only at high levels of the Hsp104 disaggregase. Current Genetics. 49(1). 21–29. 53 indexed citations

16.

Allen, Kim, Renee D. Wegrzyn, Tatiana A. Chernova, et al.. (2004). Hsp70 Chaperones as Modulators of Prion Life Cycle. Genetics. 169(3). 1227–1242. 144 indexed citations

17.

Newnam, Gary P., et al.. (2001). An Antiprion Effect of the Anticytoskeletal Drug Latrunculin A in Yeast. Gene Expression. 9(3). 145–156. 38 indexed citations

18.

Wegrzyn, Renee D., et al.. (2001). Mechanism of Prion Loss after Hsp104 Inactivation in Yeast. Molecular and Cellular Biology. 21(14). 4656–4669. 166 indexed citations

19.

Newnam, Gary P., et al.. (1994). The yeast translational allosuppressor, SAL6: a new member of the PP1-like phosphatase family with a long serine-rich N-terminal extension.. Genetics. 138(3). 597–608. 28 indexed citations

20.

Liebman, Susan W. & Gary P. Newnam. (1993). A ubiquitin-conjugating enzyme, RAD6, affects the distribution of Ty1 retrotransposon integration positions.. Genetics. 133(3). 499–508. 38 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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