Daniel D. Isaac

710 total citations
10 papers, 573 citations indexed

About

Daniel D. Isaac is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel D. Isaac has authored 10 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel D. Isaac's work include Developmental Biology and Gene Regulation (5 papers), Neurobiology and Insect Physiology Research (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Daniel D. Isaac is often cited by papers focused on Developmental Biology and Gene Regulation (5 papers), Neurobiology and Insect Physiology Research (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Daniel D. Isaac collaborates with scholars based in United States and Canada. Daniel D. Isaac's co-authors include Deborah J. Andrew, Thomas J. Silhavy, Scott J. Hultgren, Jerome S. Pinkner, Adam Haberman, Karine A. Gibbs, Julie A. Theriot, Roger W. Hendrix, Jun Xu and Monn Monn Myat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Developmental Cell.

In The Last Decade

Daniel D. Isaac

10 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel D. Isaac United States 8 401 189 100 88 84 10 573
Raul Salinas United States 13 528 1.3× 129 0.7× 69 0.7× 64 0.7× 42 0.5× 24 869
Stephanie Smith United States 18 1.0k 2.6× 203 1.1× 55 0.6× 46 0.5× 71 0.8× 35 1.3k
Mitsuoki Morimyo Japan 12 479 1.2× 171 0.9× 76 0.8× 83 0.9× 19 0.2× 21 685
Yuji Masuda Japan 27 1.3k 3.3× 262 1.4× 56 0.6× 54 0.6× 90 1.1× 52 1.6k
Steven M. Townson United States 13 546 1.4× 193 1.0× 244 2.4× 55 0.6× 37 0.4× 20 1.0k
Nikolaus A. Spoerel United States 13 736 1.8× 290 1.5× 171 1.7× 71 0.8× 102 1.2× 18 938
Iris Dror United States 15 1.6k 3.9× 341 1.8× 40 0.4× 68 0.8× 80 1.0× 25 1.7k
Gareth Bloomfield United Kingdom 16 599 1.5× 73 0.4× 27 0.3× 94 1.1× 42 0.5× 28 1.0k
Nathalie Vanzo France 18 1.1k 2.7× 501 2.7× 188 1.9× 280 3.2× 262 3.1× 24 1.4k
Vincent E. Sollars United States 13 467 1.2× 149 0.8× 36 0.4× 60 0.7× 42 0.5× 24 724

Countries citing papers authored by Daniel D. Isaac

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Isaac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel D. Isaac

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

All Works

10 of 10 papers shown
1.
Checchi, Kyle D., et al.. (2012). Extracytoplasmic Stress Responses Induced by Antimicrobial Cationic Polyethylenimines. Current Microbiology. 65(5). 488–492. 6 indexed citations
2.
Isaac, Daniel D., Jerome S. Pinkner, Scott J. Hultgren, & Thomas J. Silhavy. (2005). The extracytoplasmic adaptor protein CpxP is degraded with substrate by DegP. Proceedings of the National Academy of Sciences. 102(49). 17775–17779. 131 indexed citations
3.
Gibbs, Karine A., Daniel D. Isaac, Jun Xu, et al.. (2004). Complex spatial distribution and dynamics of an abundant Escherichia coli outer membrane protein, LamB. Molecular Microbiology. 53(6). 1771–1783. 78 indexed citations
4.
Haberman, Adam, Daniel D. Isaac, & Deborah J. Andrew. (2003). Specification of cell fates within the salivary gland primordium. Developmental Biology. 258(2). 443–453. 41 indexed citations
5.
Jin, Jing, Richard Binari, Daniel D. Isaac, et al.. (2001). Regulation of Drosophila Tracheal System Development by Protein Kinase B. Developmental Cell. 1(6). 817–827. 26 indexed citations
6.
Myat, Monn Monn, Daniel D. Isaac, & Deborah J. Andrew. (2000). Early Genes Required for Salivary Gland Fate Determination and Morphogenesis in Drosophila melanogaster. Advances in Dental Research. 14(1). 89–98. 12 indexed citations
7.
Isaac, Daniel D., et al.. (1999). Cell Fate Specification in theDrosophilaSalivary Gland: The Integration of Homeotic Gene Function with the DPP Signaling Cascade. Developmental Biology. 205(1). 10–21. 45 indexed citations
8.
Isaac, Daniel D. & Deborah J. Andrew. (1996). Tubulogenesis in Drosophila: a requirement for the trachealess gene product.. Genes & Development. 10(1). 103–117. 222 indexed citations
9.
10.
Lin, Yao-Zhong, Daniel D. Isaac, & James P. Tam. (1990). Synthesis and properties of cholecystokinin‐releasing peptide (monitor peptide), a 61‐residue trypsin inhibitor. International journal of peptide & protein research. 36(5). 433–439. 10 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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