John A. Gerlt
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
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- Protein Structure and Dynamics
- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Biochemical and Molecular Research
- Enzyme Catalysis and Immobilization
Papers in
-
- Protein Structure and Dynamics 4
- DNA and Nucleic Acid Chemistry 3
- DNA Repair Mechanisms 2
- S100 Proteins and Annexins 2
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- Enzyme Structure and Function 8
- Co-authors
- George L. Kenyon (6 shared papers)Patricia C. Babbitt (3 shared papers)John W. Kozarich (4 shared papers)David J. Neidhart (3 shared papers)Philip H. Bolton (3 shared papers)Abhijit Mazumder (3 shared papers)Jeffrey A. Coderre (2 shared papers)Steven C. Almo (2 shared papers)
- Journals
- Biochemistry (5 papers)Journal of the American Chemical Society (5 papers)Current Opinion in Structural Biology (1 paper)Journal of Biological Chemistry (1 paper)Nature (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
John A. Gerlt
15 papers receiving 739 citations
Peers
Comparison fields: 5 of 70
- Biochemistry 150
- Molecular Biology 616
- Materials Chemistry 295
- Clinical Biochemistry 36
- Spectroscopy 74
Countries citing papers authored by John A. Gerlt
This map shows the geographic impact of John 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 John 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 John A. Gerlt more than expected).
Fields of papers citing papers by John A. Gerlt
This network shows the impact of papers produced by John 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 John A. Gerlt. The network helps show where John A. Gerlt may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Gerlt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 116 | |
| 2 | 1990 | 110 | |
| 3 | 1995 | 78 | |
| 4 | 1988 | 66 | |
| 5 | 1989 | 63 | |
| 6 | 1991 | 58 | |
| 7 | 1991 | 58 | |
| 8 | 1991 | 46 | |
| 9 | 2001 | 42 | |
| 10 | 1980 | 40 | |
| 11 | 1981 | 37 | |
| 12 | 1992 | 32 | |
| 13 | 1988 | 23 | |
| 14 | 1983 | 9 | |
| 15 | 2009 | 2 |
About John A. Gerlt
John A. Gerlt is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Spectroscopy and Oncology, having authored 15 papers that have together received 780 indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Computational Drug Discovery Methods (3 papers), DNA Repair Mechanisms (2 papers), Amino Acid Enzymes and Metabolism (2 papers), S100 Proteins and Annexins (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Biochemistry (150 citations), Molecular Biology (616 citations), Materials Chemistry (295 citations), Clinical Biochemistry (36 citations) and Spectroscopy (74 citations). John A. Gerlt has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include George L. Kenyon, Patricia C. Babbitt, John W. Kozarich, David J. Neidhart, Philip H. Bolton, Abhijit Mazumder, Jeffrey A. Coderre, Steven C. Almo, Matthew P. Jacobson and Gregory A. Petsko. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, Current Opinion in Structural Biology, Journal of Biological Chemistry and Nature.
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.