Abe Pressman

736 total citations
11 papers, 406 citations indexed

About

Abe Pressman is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Abe Pressman has authored 11 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Artificial Intelligence. Recurrent topics in Abe Pressman's work include RNA and protein synthesis mechanisms (7 papers), Gene Regulatory Network Analysis (4 papers) and Evolution and Genetic Dynamics (3 papers). Abe Pressman is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Gene Regulatory Network Analysis (4 papers) and Evolution and Genetic Dynamics (3 papers). Abe Pressman collaborates with scholars based in United States, Denmark and Canada. Abe Pressman's co-authors include Irene A. Chen, Celia Blanco, Ulrich F. Müller, David Ross, Peter D. Tonner, Ziwei Liu, Gerald F. Joyce, Stephanie Chen, Atsushi Yamashita and Robert Pascal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Abe Pressman

10 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abe Pressman United States	9	294	118	108	47	26	11	406
Stephan Jordan Germany	7	207 0.7×	30 0.3×	115 1.1×	22 0.5×	15 0.6×	8	310
Ryo Mizuuchi Japan	11	171 0.6×	98 0.8×	125 1.2×	19 0.4×	24 0.9×	22	256
Antonella Caforio Netherlands	7	290 1.0×	54 0.5×	43 0.4×	32 0.7×	41 1.6×	7	335
Davide De Lucrezia Italy	10	288 1.0×	75 0.6×	77 0.7×	30 0.6×	40 1.5×	21	361
Rebecca Turk-MacLeod United Kingdom	8	230 0.8×	102 0.9×	126 1.2×	13 0.3×	27 1.0×	10	301
David P. Horning United States	7	307 1.0×	104 0.9×	217 2.0×	11 0.2×	16 0.6×	11	354
Alexey S. Morgunov United Kingdom	9	460 1.6×	41 0.3×	78 0.7×	40 0.9×	40 1.5×	12	546
Elisa Biondi United States	13	353 1.2×	38 0.3×	178 1.6×	31 0.7×	48 1.8×	20	461
Erica A. Frankel United States	5	361 1.2×	34 0.3×	85 0.8×	35 0.7×	27 1.0×	6	468
Kathryn A. Lanier United States	11	341 1.2×	77 0.7×	161 1.5×	8 0.2×	28 1.1×	14	498

Countries citing papers authored by Abe Pressman

Since Specialization

Citations

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

Fields of papers citing papers by Abe Pressman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abe Pressman

This figure shows the co-authorship network connecting the top 25 collaborators of Abe Pressman. A scholar is included among the top collaborators of Abe Pressman 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 Abe Pressman. Abe Pressman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Tonner, Peter D., Abe Pressman, Nathan D. Olson, et al.. (2023). Precision engineering of biological function with large-scale measurements and machine learning. PLoS ONE. 18(3). e0283548–e0283548. 2 indexed citations

Tonner, Peter D., Abe Pressman, & David Ross. (2022). Interpretable modeling of genotype–phenotype landscapes with state-of-the-art predictive power. Proceedings of the National Academy of Sciences. 119(26). e2114021119–e2114021119. 21 indexed citations

Tonner, Peter D., Abe Pressman, Nathan D. Olson, et al.. (2021). The genotype‐phenotype landscape of an allosteric protein. Molecular Systems Biology. 17(3). e10179–e10179. 39 indexed citations

Pressman, Abe, et al.. (2021). Kinetic sequencing ( k -Seq) as a massively parallel assay for ribozyme kinetics: utility and critical parameters. Nucleic Acids Research. 49(12). e67–e67. 13 indexed citations

Tonner, Peter D., et al.. (2020). Measurements drive progress in directed evolution for precise engineering of biological systems. Current Opinion in Systems Biology. 23. 32–37.

Blanco, Celia, et al.. (2019). Molecular Fitness Landscapes from High-Coverage Sequence Profiling. Annual Review of Biophysics. 48(1). 1–18. 31 indexed citations

Pressman, Abe, Ziwei Liu, Celia Blanco, et al.. (2019). Mapping a Systematic Ribozyme Fitness Landscape Reveals a Frustrated Evolutionary Network for Self-Aminoacylating RNA. Journal of the American Chemical Society. 141(15). 6213–6223. 69 indexed citations

Pressman, Abe, et al.. (2017). Analysis of in vitro evolution reveals the underlying distribution of catalytic activity among random sequences. Nucleic Acids Research. 45(14). 8167–8179. 24 indexed citations

Gilmore, Sean, John K. Henske, Jessica A. Sexton, et al.. (2017). Genomic analysis of methanogenic archaea reveals a shift towards energy conservation. BMC Genomics. 18(1). 639–639. 41 indexed citations

10.

Pressman, Abe, Celia Blanco, & Irene A. Chen. (2015). The RNA World as a Model System to Study the Origin of Life. Current Biology. 25(19). R953–R963. 119 indexed citations

11.

Chen, Stephanie, et al.. (2005). A Large-Scale Statistical Analysis of Barefoot Impressions. Journal of Forensic Sciences. 50(5). JFS2004277–10. 47 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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