J.A. Gerlt

15.3k total citations · 3 hit papers
213 papers, 12.1k citations indexed

About

J.A. Gerlt is a scholar working on Molecular Biology, Materials Chemistry and Biochemistry. According to data from OpenAlex, J.A. Gerlt has authored 213 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Molecular Biology, 111 papers in Materials Chemistry and 52 papers in Biochemistry. Recurrent topics in J.A. Gerlt's work include Enzyme Structure and Function (110 papers), Protein Structure and Dynamics (44 papers) and Amino Acid Enzymes and Metabolism (42 papers). J.A. Gerlt is often cited by papers focused on Enzyme Structure and Function (110 papers), Protein Structure and Dynamics (44 papers) and Amino Acid Enzymes and Metabolism (42 papers). J.A. Gerlt collaborates with scholars based in United States, Italy and Canada. J.A. Gerlt's co-authors include Patricia C. Babbitt, Paul G. Gassman, Nils Oberg, Rémi Zallot, George L. Kenyon, Perry A. Frey, Ivan Rayment, W. W. Cleland, Steven C. Almo and H.J. Imker and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

J.A. Gerlt

213 papers receiving 11.8k citations

Hit Papers

Enzyme Function Initiative-Enzyme Similarity Tool (EFI-ES... 2015 2026 2018 2022 2015 2019 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.A. Gerlt United States 57 8.9k 3.9k 1.6k 1.3k 879 213 12.1k
Tadhg P. Begley United States 59 7.1k 0.8× 2.0k 0.5× 1.4k 0.9× 1.0k 0.8× 585 0.7× 246 11.1k
John S. Blanchard United States 54 6.9k 0.8× 2.0k 0.5× 971 0.6× 1.4k 1.1× 912 1.0× 215 10.5k
Jeremy R. Knowles United States 65 9.8k 1.1× 3.1k 0.8× 1.3k 0.9× 2.6k 2.1× 819 0.9× 229 14.5k
Frank M. Raushel United States 58 7.0k 0.8× 2.9k 0.7× 1.3k 0.8× 2.1k 1.6× 550 0.6× 343 13.1k
Dietmar Schomburg Germany 60 10.4k 1.2× 1.9k 0.5× 749 0.5× 2.4k 1.9× 737 0.8× 381 16.4k
Harold R. Powell United Kingdom 22 9.2k 1.0× 3.9k 1.0× 512 0.3× 1.5k 1.2× 475 0.5× 73 14.2k
Donald Hilvert Switzerland 74 13.1k 1.5× 3.5k 0.9× 752 0.5× 3.9k 3.0× 865 1.0× 323 17.0k
W. W. Cleland United States 55 8.7k 1.0× 2.8k 0.7× 2.3k 1.5× 2.0k 1.5× 341 0.4× 191 14.7k
Victor S. Lamzin Germany 45 8.1k 0.9× 4.2k 1.1× 725 0.5× 544 0.4× 329 0.4× 142 11.5k
Debra Dunaway‐Mariano United States 46 5.0k 0.6× 2.3k 0.6× 1.1k 0.7× 906 0.7× 502 0.6× 203 7.2k

Countries citing papers authored by J.A. Gerlt

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Gerlt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.A. Gerlt

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

All Works

20 of 20 papers shown
1.
Oberg, Nils, Rémi Zallot, & J.A. Gerlt. (2023). EFI-EST, EFI-GNT, and EFI-CGFP: Enzyme Function Initiative (EFI) Web Resource for Genomic Enzymology Tools. Journal of Molecular Biology. 435(14). 168018–168018. 191 indexed citations breakdown →
2.
Li, Qiang, Rémi Zallot, J.A. Gerlt, et al.. (2021). Epoxyqueuosine Reductase QueH in the Biosynthetic Pathway to tRNA Queuosine Is a Unique Metalloenzyme. Biochemistry. 60(42). 3152–3161. 8 indexed citations
3.
4.
Gerlt, J.A., et al.. (2020). Discovery of novel pathways for carbohydrate metabolism. Current Opinion in Chemical Biology. 61. 63–70. 6 indexed citations
5.
Kim, Chan, et al.. (2020). Characterization of an l -Ascorbate Catabolic Pathway with Unprecedented Enzymatic Transformations. Journal of the American Chemical Society. 142(4). 1657–1661. 8 indexed citations
6.
Calhoun, Sara, Magdalena Korczynska, Brian San Francisco, et al.. (2018). Prediction of enzymatic pathways by integrative pathway mapping. eLife. 7. 30 indexed citations
7.
Reyes, Archie C., et al.. (2018). Enzyme Architecture: Breaking Down the Catalytic Cage that Activates Orotidine 5′-Monophosphate Decarboxylase for Catalysis. Journal of the American Chemical Society. 140(50). 17580–17590. 15 indexed citations
8.
Zhang, Xinshuai, Ritesh Kumar, M.W. Vetting, et al.. (2015). A Unique cis-3-Hydroxy-l-proline Dehydratase in the Enolase Superfamily. Journal of the American Chemical Society. 137(4). 1388–1391. 11 indexed citations
9.
Bouvier, Jason T., et al.. (2014). Galactaro δ-Lactone Isomerase: Lactone Isomerization by a Member of the Amidohydrolase Superfamily. Biochemistry. 53(4). 614–616. 13 indexed citations
10.
Zhao, Suwen, Ritesh Kumar, A. Sakai, et al.. (2013). Discovery of new enzymes and metabolic pathways by using structure and genome context. Nature. 502(7473). 698–702. 113 indexed citations
11.
Lukk, Tiit, A. Sakai, Chakrapani Kalyanaraman, et al.. (2012). Homology models guide discovery of diverse enzyme specificities among dipeptide epimerases in the enolase superfamily. Proceedings of the National Academy of Sciences. 109(11). 4122–4127. 45 indexed citations
12.
Amyes, Tina L., B.M. Wood, Kui K. Chan, J.A. Gerlt, & John P. Richard. (2008). Formation and Stability of a Vinyl Carbanion at the Active Site of Orotidine 5‘-Monophosphate Decarboxylase:  p K a of the C-6 Proton of Enzyme-Bound UMP. Journal of the American Chemical Society. 130(5). 1574–1575. 69 indexed citations
13.
Gerlt, J.A.. (2007). A Protein Structure (or Function ?) Initiative. Structure. 15(11). 1353–1356. 17 indexed citations
14.
16.
Klenchin, Vadim A., Erika A. Taylor, J.A. Gerlt, & Ivan Rayment. (2003). Evolution of Enzymatic Activity in the Enolase Superfamily:  Structural and Mutagenic Studies of the Mechanism of the Reaction Catalyzed by o- Succinylbenzoate Synthase from Escherichia coli ,. Biochemistry. 42(49). 14427–14433. 23 indexed citations
17.
Wise, Eric L., Wen Shan Yew, Patricia C. Babbitt, J.A. Gerlt, & Ivan Rayment. (2002). Homologous (β/α) 8 -Barrel Enzymes That Catalyze Unrelated Reactions:  Orotidine 5‘-Monophosphate Decarboxylase and 3-Keto- l -Gulonate 6-Phosphate Decarboxylase ,. Biochemistry. 41(12). 3861–3869. 45 indexed citations
18.
Gerlt, J.A.. (1993). 1 Mechanistic Principles of Enzyme-catalyzed Cleavage of Phosphodiester Bonds. Cold Spring Harbor Monograph Archive. 25. 1–34. 20 indexed citations
19.
Pourmotabbed, Tayebeh, et al.. (1990). Kinetic and conformational effects of lysine substitutions for arginines 35 and 87 in the active site of staphylococcal nuclease. Biochemistry. 29(15). 3677–3683. 21 indexed citations
20.
Manoharan, Muthiah, Stephen C. Ransom, Abhijit Mazumder, & J.A. Gerlt. (1989). Site-Specific 13 C Labeling of DNA to Deduce DNA Repair Mechanisms of Uracil-DNA Glycosyiase and UV Endonuclease V. Nucleosides and Nucleotides. 8(5-6). 879–883. 3 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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