Robert M. Snapka

1.8k total citations
44 papers, 1.5k citations indexed

About

Robert M. Snapka is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Robert M. Snapka has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 23 papers in Oncology and 6 papers in Organic Chemistry. Recurrent topics in Robert M. Snapka's work include Cancer therapeutics and mechanisms (23 papers), Polyomavirus and related diseases (15 papers) and DNA Repair Mechanisms (9 papers). Robert M. Snapka is often cited by papers focused on Cancer therapeutics and mechanisms (23 papers), Polyomavirus and related diseases (15 papers) and DNA Repair Mechanisms (9 papers). Robert M. Snapka collaborates with scholars based in United States, Egypt and Saudi Arabia. Robert M. Snapka's co-authors include John M. Cassady, Sung Ho Woo, Nan Sun, Paskasari A. Permana, Edith F. Yamasaki, Cha‐Gyun Shin, Kenneth K. Chan, Linus L. Shen, Hanlin Gao and Alexander Varshavsky 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

Robert M. Snapka

44 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert M. Snapka United States 22 1.1k 443 308 156 138 44 1.5k
Anindya Goswami India 25 1.2k 1.1× 365 0.8× 272 0.9× 107 0.7× 123 0.9× 83 1.9k
Attilio Di Pietro France 25 1.1k 1.0× 315 0.7× 190 0.6× 33 0.2× 152 1.1× 55 1.5k
Daniel Dauzonne France 22 862 0.8× 275 0.6× 585 1.9× 47 0.3× 38 0.3× 70 1.7k
Athanasios Papakyriakou Greece 27 1.0k 0.9× 681 1.5× 410 1.3× 29 0.2× 79 0.6× 95 2.1k
Luisa Dusonchet Italy 13 651 0.6× 244 0.6× 340 1.1× 57 0.4× 37 0.3× 30 1.1k
Zhenjiang Zhao China 24 834 0.8× 329 0.7× 395 1.3× 40 0.3× 142 1.0× 93 1.5k
George R. Pettit United States 21 746 0.7× 197 0.4× 628 2.0× 88 0.6× 132 1.0× 26 1.5k
Adorján Aszalós United States 20 556 0.5× 401 0.9× 155 0.5× 34 0.2× 42 0.3× 65 1.2k
M.R. Boyd United States 7 568 0.5× 204 0.5× 269 0.9× 84 0.5× 90 0.7× 8 1.0k
Jian Ding China 19 746 0.7× 211 0.5× 287 0.9× 89 0.6× 138 1.0× 39 1.5k

Countries citing papers authored by Robert M. Snapka

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Snapka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Snapka. 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 Robert M. Snapka. The network helps show where Robert M. Snapka may publish in the future.

Co-authorship network of co-authors of Robert M. Snapka

This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Snapka. A scholar is included among the top collaborators of Robert M. Snapka 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 Robert M. Snapka. Robert M. Snapka 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.
Bae, Soo In, Ran Zhao, & Robert M. Snapka. (2008). PCNA damage caused by antineoplastic drugs. Biochemical Pharmacology. 76(12). 1653–1668. 17 indexed citations
2.
Zhu, Qianzheng, Gulzar Wani, Qi‐En Wang, et al.. (2005). Deubiquitination by proteasome is coordinated with substrate translocation for proteolysis in vivo. Experimental Cell Research. 307(2). 436–451. 10 indexed citations
3.
Gao, Hanlin, Edith F. Yamasaki, Kenneth K. Chan, Linus L. Shen, & Robert M. Snapka. (2003). DNA Sequence Specificity for Topoisomerase II Poisoning by the Quinoxaline Anticancer Drugs XK469 and CQS. Molecular Pharmacology. 63(6). 1382–1388. 38 indexed citations
4.
Snapka, Robert M., Hanlin Gao, Dale Grabowski, et al.. (2001). Cytotoxic Mechanism of XK469: Resistance of Topoisomerase IIβ Knockout Cells and Inhibition of Topoisomerase I. Biochemical and Biophysical Research Communications. 280(4). 1155–1160. 20 indexed citations
5.
Gao, Hanlin, Edith F. Yamasaki, Dale Grabowski, et al.. (2001). Topoisomerase II Poisoning by ICRF-193. Journal of Biological Chemistry. 276(48). 44488–44494. 74 indexed citations
6.
Huang, Kuan‐Chun, Edith F. Yamasaki, & Robert M. Snapka. (1999). Maintenance of Episomal SV40 Genomes in GM637 Human Fibroblasts. Virology. 262(2). 457–469. 12 indexed citations
7.
Woo, Sung Ho, Nan-Jun Sun, John M. Cassady, & Robert M. Snapka. (1999). Topoisomerase II inhibition by aporphine alkaloids. Biochemical Pharmacology. 57(10). 1141–1145. 64 indexed citations
8.
Woo, Sung Ho, et al.. (1997). Inhibition of topoisomerase II by liriodenine. Biochemical Pharmacology. 54(4). 467–473. 56 indexed citations
9.
Snapka, Robert M., et al.. (1997). Unbalanced growth in mouse cells with amplified dhfr genes. Cell Proliferation. 30(10-12). 385–399. 4 indexed citations
10.
Permana, Paskasari A. & Robert M. Snapka. (1994). Aldehyde-induced protein—DNA crosslinks disrupt specific stages of SV4I) DNA replication. Carcinogenesis. 15(5). 1031–1036. 29 indexed citations
11.
Permana, Paskasari A., et al.. (1994). Inverse Relationship Between Catenation and Superhelicity in Newly Replicated Simian Virus 40 Daughter Chromosomes. Biochemical and Biophysical Research Communications. 201(3). 1510–1517. 12 indexed citations
12.
Permana, Paskasari A., et al.. (1994). Quinobenoxazines: A Class of Novel Antitumor Quinolones and Potent Mammalian DNA Topoisomerase II Catalytic Inhibitors. Biochemistry. 33(37). 11333–11339. 65 indexed citations
13.
Snapka, Robert M. & Paskasari A. Permana. (1993). SV40 DNA replication intermediates: Analysis of drugs which target mammalian DNA replication. BioEssays. 15(2). 121–127. 22 indexed citations
14.
Snapka, Robert M., et al.. (1991). Aphidicolin-induced topological and recombinational events in simian virus 40. Nucleic Acids Research. 19(18). 5065–5072. 16 indexed citations
15.
Wani, Maqsood A. & Robert M. Snapka. (1990). Drug-Induced Loss of Unstably Amplified Genes. Cancer Investigation. 8(6). 587–593. 10 indexed citations
16.
Shin, Cha‐Gyun, et al.. (1990). Rapid evaluation of topoisomerase inhibitors: Caffeine inhibition of topoisomerases in vivo. Teratogenesis Carcinogenesis and Mutagenesis. 10(1). 41–52. 31 indexed citations
17.
Wani, Maqsood A., et al.. (1990). Hypersensitivity to low level cytotoxic stress in mouse cells with high levels of DHFR gene amplification. Anti-Cancer Drugs. 1(1). 67–76. 6 indexed citations
18.
Shin, Cha‐Gyun & Robert M. Snapka. (1990). Exposure to camptothecin breaks leading and lagging strand simian virus 40 DNA replication forks. Biochemical and Biophysical Research Communications. 168(1). 135–140. 29 indexed citations
19.
Shin, Cha‐Gyun & Robert M. Snapka. (1990). Patterns of strongly protein-associated simian virus 40 DNA replication intermediates resulting from exposures to specific topoisomerase poisons. Biochemistry. 29(49). 10934–10939. 18 indexed citations
20.
Wani, Maqsood A. & Robert M. Snapka. (1989). Methotrexate resistance in NIH3T3 cells expressing polyoma virus oncogenes. Teratogenesis Carcinogenesis and Mutagenesis. 9(6). 369–382. 3 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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