Daniel J. Acosta

1.3k total citations · 1 hit paper
13 papers, 876 citations indexed

About

Daniel J. Acosta is a scholar working on Pollution, Biomaterials and Organic Chemistry. According to data from OpenAlex, Daniel J. Acosta has authored 13 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pollution, 3 papers in Biomaterials and 2 papers in Organic Chemistry. Recurrent topics in Daniel J. Acosta's work include Microplastics and Plastic Pollution (4 papers), biodegradable polymer synthesis and properties (3 papers) and History and Theory of Mathematics (2 papers). Daniel J. Acosta is often cited by papers focused on Microplastics and Plastic Pollution (4 papers), biodegradable polymer synthesis and properties (3 papers) and History and Theory of Mathematics (2 papers). Daniel J. Acosta collaborates with scholars based in United States, Italy and China. Daniel J. Acosta's co-authors include Hal S. Alper, Yan Zhang, Andrew D. Ellington, Daniel J. Diaz, Wantae Kim, Nathaniel A. Lynd, Hongyuan Lu, Congzhi Zhu, Raghav Shroff and Hannah Cole and has published in prestigious journals such as Nature, Nature Communications and The ISME Journal.

In The Last Decade

Daniel J. Acosta

11 papers receiving 860 citations

Hit Papers

Machine learning-aided engineering of hydrolases for PET ... 2022 2026 2023 2024 2022 250 500 750

Peers

Daniel J. Acosta
Hongyuan Lu United States
Wantae Kim United States
Daniel J. Diaz United States
Giyoung Shin South Korea
Rita Araújo Portugal
Hyun-Chul Kim South Korea
Leona Berndt Germany
Hongyuan Lu United States
Daniel J. Acosta
Citations per year, relative to Daniel J. Acosta Daniel J. Acosta (= 1×) peers Hongyuan Lu

Countries citing papers authored by Daniel J. Acosta

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Acosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Acosta. 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 Daniel J. Acosta. The network helps show where Daniel J. Acosta may publish in the future.

Co-authorship network of co-authors of Daniel J. Acosta

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

All Works

13 of 13 papers shown
1.
Acosta, Daniel J., Valerie De Anda, Hal S. Alper, et al.. (2025). Plastic degradation by enzymes from uncultured deep sea microorganisms. The ISME Journal. 19(1).
2.
Wang, Huaimin, Hongyuan Lu, Daniel J. Acosta, et al.. (2024). Evaluating the effectiveness of a lysine mutation and its portability across different Poly(ethylene terephthalate)-hydrolyzing enzymes. Biochemical Engineering Journal. 214. 109573–109573. 3 indexed citations
3.
d’Oelsnitz, Simon, Daniel J. Diaz, Wantae Kim, et al.. (2024). Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme. Nature Communications. 15(1). 2084–2084. 30 indexed citations
4.
Acosta, Daniel J. & Hal S. Alper. (2023). Advances in enzymatic and organismal technologies for the recycling and upcycling of petroleum-derived plastic waste. Current Opinion in Biotechnology. 84. 103021–103021. 15 indexed citations
5.
Lu, Hongyuan, Daniel J. Diaz, Congzhi Zhu, et al.. (2022). Machine learning-aided engineering of hydrolases for PET depolymerization. Nature. 604(7907). 662–667. 767 indexed citations breakdown →
6.
Acosta, Daniel J.. (2003). Newton's Rule of Signs for Imaginary Roots. American Mathematical Monthly. 110(8). 694–706. 1 indexed citations
7.
Acosta, Daniel J., et al.. (2002). CLASSROOM INTEGRAL CALCULUS: SOME USEFUL DIGRESSIONS WHEN TEACHING INTEGRAL CALCULUS. PRIMUS. 12(1). 75–86. 1 indexed citations
8.
Acosta, Daniel J.. (2001). A Furuta-like inequality for spin orbifolds and the minimal genus problem. Topology and its Applications. 114(1). 91–106. 1 indexed citations
9.
Acosta, Daniel J., et al.. (1996). Prolonged Adverse Effects of Benzalkonium Chloride and Sodium Dodecyl Sulfate in a Primary Culture System of Rabbit Corneal Epithelial Cells. Toxicological Sciences. 33(1). 71–82. 3 indexed citations
10.
Acosta, Daniel J., et al.. (1995). Comparison of ketoconazole- and fluconazole-induced hepatotoxicity in a primary culture system of rat hepatocytes. Toxicology. 96(2). 83–92. 48 indexed citations
11.
Acosta, Daniel J., et al.. (1993). An in Vitro Model of Cyclosporine-Induced Nephrotoxicity. Toxicological Sciences. 20(4). 486–495. 1 indexed citations
13.
Bruckner, James V., et al.. (1986). Oral Toxicity of Carbon Tetrachioride: Acute, Subacute, and Subchronic Studies in Rats. Toxicological Sciences. 6(1). 16–34. 2 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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