Robert L. Marraccino

1.1k total citations
8 papers, 956 citations indexed

About

Robert L. Marraccino is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Robert L. Marraccino has authored 8 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Robert L. Marraccino's work include DNA Repair Mechanisms (4 papers), DNA and Nucleic Acid Chemistry (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Robert L. Marraccino is often cited by papers focused on DNA Repair Mechanisms (4 papers), DNA and Nucleic Acid Chemistry (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Robert L. Marraccino collaborates with scholars based in United States. Robert L. Marraccino's co-authors include Paul L. Bartel, Kuniyoshi Iwabuchi, Bo Li, Stanley Fields, Gennaro D’Urso, James M. Roberts, Daniel R. Marshak, Robert A. Bambara, Edith M. Lord and Joanna Roberts and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Biochemistry.

In The Last Decade

Robert L. Marraccino

8 papers receiving 930 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 L. Marraccino United States 8 818 460 170 137 108 8 956
Karl‐Heinz Scheidtmann Germany 11 515 0.6× 269 0.6× 106 0.6× 119 0.9× 66 0.6× 14 703
Christiane Bürger Germany 9 485 0.6× 284 0.6× 93 0.5× 78 0.6× 70 0.6× 14 648
Chizuko Tsurumi Japan 17 807 1.0× 251 0.5× 270 1.6× 92 0.7× 82 0.8× 29 1.0k
Birgit Otzen Petersen Italy 9 1.1k 1.3× 622 1.4× 356 2.1× 109 0.8× 97 0.9× 9 1.2k
Willem den Besten United States 16 938 1.1× 418 0.9× 206 1.2× 109 0.8× 103 1.0× 20 1.2k
R N Eisenman United States 7 473 0.6× 187 0.4× 94 0.6× 127 0.9× 58 0.5× 7 671
Tarig Bashir United States 14 749 0.9× 420 0.9× 237 1.4× 135 1.0× 85 0.8× 17 958
Chantal Crémisi France 16 678 0.8× 314 0.7× 70 0.4× 177 1.3× 48 0.4× 28 926
Pradip Raychaudhuri United States 16 757 0.9× 487 1.1× 53 0.3× 434 3.2× 74 0.7× 21 1.1k
Eric Weterings United States 15 1.4k 1.7× 504 1.1× 129 0.8× 134 1.0× 278 2.6× 20 1.6k

Countries citing papers authored by Robert L. Marraccino

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Marraccino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert L. Marraccino

This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Marraccino. A scholar is included among the top collaborators of Robert L. Marraccino 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 L. Marraccino. Robert L. Marraccino 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.
Iwabuchi, Kuniyoshi, Paul L. Bartel, Bo Li, Robert L. Marraccino, & Stanley Fields. (1994). Two cellular proteins that bind to wild-type but not mutant p53.. Proceedings of the National Academy of Sciences. 91(13). 6098–6102. 360 indexed citations
2.
Marraccino, Robert L., Eduardo Firpo, & Joanna Roberts. (1992). Activation of the p34 CDC2 protein kinase at the start of S phase in the human cell cycle.. Molecular Biology of the Cell. 3(4). 389–401. 66 indexed citations
3.
Marraccino, Robert L., Rati Fotedar, Gennaro D’Urso, & Joanna Roberts. (1990). Control of DNA replication. Current Opinion in Cell Biology. 2(2). 262–268. 10 indexed citations
4.
D’Urso, Gennaro, Robert L. Marraccino, Daniel R. Marshak, & James M. Roberts. (1990). Cell Cycle Control of DNA Replication by a Homologue from Human Cells of the p34 cdc2 Protein Kinase. Science. 250(4982). 786–791. 262 indexed citations
5.
Marraccino, Robert L., et al.. (1989). Requirement for proliferating cell nuclear antigen expression during stages of the Chinese hamster ovary cell cycle. Biochemistry. 28(7). 2967–2974. 128 indexed citations
6.
Sabatino, Ralph D., et al.. (1988). Calf thymus DNA polymerases .alpha. and .delta. are capable of highly processive DNA synthesis. Biochemistry. 27(8). 2998–3004. 36 indexed citations
7.
Marraccino, Robert L., Alan F. Wahl, Peter C. Keng, Edith M. Lord, & Robert A. Bambara. (1987). Cell cycle dependent activities of DNA polymerases .alpha. and .delta. in Chinese hamster ovary cells. Biochemistry. 26(24). 7864–7870. 22 indexed citations
8.
Wahl, Alan F., James J. Crute, Ralph D. Sabatino, et al.. (1986). Properties of two forms of DNA polymerase .delta. from calf thymus. Biochemistry. 25(24). 7821–7827. 72 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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