Jason J. Reddick

753 total citations
12 papers, 606 citations indexed

About

Jason J. Reddick is a scholar working on Molecular Biology, Clinical Biochemistry and Biochemistry. According to data from OpenAlex, Jason J. Reddick has authored 12 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Clinical Biochemistry and 6 papers in Biochemistry. Recurrent topics in Jason J. Reddick's work include Metabolism and Genetic Disorders (7 papers), Biochemical Acid Research Studies (5 papers) and Biochemical and Molecular Research (4 papers). Jason J. Reddick is often cited by papers focused on Metabolism and Genetic Disorders (7 papers), Biochemical Acid Research Studies (5 papers) and Biochemical and Molecular Research (4 papers). Jason J. Reddick collaborates with scholars based in United States and Switzerland. Jason J. Reddick's co-authors include Tadhg P. Begley, Hsiu‐Ju Chiu, Jianming Cheng, William Roush, Nino Campobasso, Cynthia Kinsland, Diana M. Downs, Adolphus P. G. M. van Loon, Sean V. Taylor and Fred W. McLafferty and has published in prestigious journals such as Biochemistry, Biochemical and Biophysical Research Communications and Tetrahedron.

In The Last Decade

Jason J. Reddick

12 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason J. Reddick United States 10 347 131 130 124 123 12 606
P E Linnett United Kingdom 12 598 1.7× 51 0.4× 81 0.6× 25 0.2× 61 0.5× 17 783
Stephan König Germany 20 497 1.4× 81 0.6× 377 2.9× 478 3.9× 781 6.3× 44 1.2k
Zhibing Lu United States 14 336 1.0× 64 0.5× 36 0.3× 11 0.1× 89 0.7× 16 459
S. S. Barkulis United States 15 391 1.1× 85 0.6× 78 0.6× 17 0.1× 91 0.7× 29 722
Sabine Eberhardt Germany 17 823 2.4× 14 0.1× 184 1.4× 19 0.2× 110 0.9× 24 1.0k
Sahar Hasim United States 12 229 0.7× 58 0.4× 44 0.3× 49 0.4× 18 0.1× 14 529
Renjian Zheng United States 18 613 1.8× 61 0.5× 21 0.2× 6 0.0× 61 0.5× 27 777
Soyoung Min Ireland 12 447 1.3× 50 0.4× 16 0.1× 5 0.0× 28 0.2× 16 729
Shinji Okumura United States 15 441 1.3× 36 0.3× 22 0.2× 6 0.0× 197 1.6× 56 561
Joseph T. Holden United States 15 396 1.1× 31 0.2× 53 0.4× 4 0.0× 161 1.3× 32 592

Countries citing papers authored by Jason J. Reddick

Since Specialization
Citations

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

Fields of papers citing papers by Jason J. Reddick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason J. Reddick

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

All Works

12 of 12 papers shown
1.
Reddick, Jason J., et al.. (2017). First Biochemical Characterization of a Methylcitric Acid Cycle from Bacillus subtilis Strain 168. Biochemistry. 56(42). 5698–5711. 11 indexed citations
2.
Reddick, Jason J., et al.. (2008). The mmgA gene from Bacillus subtilis encodes a degradative acetoacetyl-CoA thiolase. Biotechnology Letters. 30(6). 1045–1050. 9 indexed citations
3.
Reddick, Jason J., et al.. (2007). PksS from Bacillus subtilis is a cytochrome P450 involved in bacillaene metabolism. Biochemical and Biophysical Research Communications. 358(1). 363–367. 30 indexed citations
4.
Reddick, Jason J., et al.. (2003). An efficient enzymatic synthesis of thiamin pyrophosphate. Bioorganic & Medicinal Chemistry Letters. 13(22). 4139–4141. 7 indexed citations
5.
6.
Reddick, Jason J., et al.. (2001). The mechanism of action of bacimethrin, a naturally occurring thiamin antimetabolite. Bioorganic & Medicinal Chemistry Letters. 11(17). 2245–2248. 62 indexed citations
7.
Chiu, Hsiu‐Ju, et al.. (2001). Structural Characterization of the Enzyme−Substrate, Enzyme−Intermediate, and Enzyme−Product Complexes of Thiamin Phosphate Synthase,. Biochemistry. 40(34). 10103–10114. 38 indexed citations
8.
Reddick, Jason J., et al.. (2001). Mechanistic Studies on Thiamin Phosphate Synthase:  Evidence for a Dissociative Mechanism. Biochemistry. 40(34). 10095–10102. 27 indexed citations
9.
Begley, Tadhg P., Diana M. Downs, S. E. Ealick, et al.. (1999). Thiamin biosynthesis in prokaryotes. Archives of Microbiology. 171(5). 293–300. 239 indexed citations
10.
Chiu, Hsiu‐Ju, Jason J. Reddick, Tadhg P. Begley, & S.E. Ealick. (1999). Crystal Structure of Thiamin Phosphate Synthase from Bacillus subtilis at 1.25 Å Resolution,. Biochemistry. 38(20). 6460–6470. 31 indexed citations
12.
Kogelbauer, Andreas, Jason J. Reddick, & Dan Fǎrcaşiu. (1995). Mechanistic study of the acid catalyzed formation and hydrolysis of MTBE in nonpolar media. Journal of Molecular Catalysis A Chemical. 103(1). 31–41. 12 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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