J.J. Height
Impact in
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Cholinesterase and Neurodegenerative Diseases 5
-
- Pesticide Exposure and Toxicity 5
- Co-authors
- Jonah Cheung (4 shared papers)M. Rudolph (1 shared paper)F. Burshteyn (1 shared paper)Matthew C. Franklin (1 shared paper)J. Love (1 shared paper)M. Cassidy (1 shared paper)E. Gary (1 shared paper)Scott D. Pegan (4 shared papers)
- Journals
- Chemical Research in Toxicology (2 papers)ACS Medicinal Chemistry Letters (1 paper)Enzyme and Microbial Technology (1 paper)Protein Science (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
J.J. Height
8 papers receiving 1.2k citations
J.J. Height's Hit Papers
Peers
Comparison fields: 5 of 65
- Pharmacology 1.0k
- Computational Theory and Mathematics 719
- Organic Chemistry 541
- Complementary and alternative medicine 150
- Plant Science 195
Countries citing papers authored by J.J. Height
This map shows the geographic impact of J.J. Height'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.J. Height with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.J. Height more than expected).
Fields of papers citing papers by J.J. Height
This network shows the impact of papers produced by J.J. Height. 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.J. Height. The network helps show where J.J. Height may publish in the future.
Co-authors
The 25 scholars most cited alongside J.J. Height, 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 | Structures of Human Acetylcholinesterase in Complex with Pharmacologically Important Ligands Hit paper breakdown → | 2012 | 1086 |
| 2 | 2018 | 43 | |
| 3 | 2017 | 20 | |
| 4 | 2019 | 12 | |
| 5 | 2021 | 9 | |
| 6 | 2019 | 7 | |
| 7 | 1992 | 3 | |
| 8 | 2011 | 1 |
About J.J. Height
J.J. Height is a scholar working on Pharmacology, Plant Science, Computational Theory and Mathematics, Molecular Biology and Pollution, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (5 papers), Pesticide Exposure and Toxicity (5 papers), Computational Drug Discovery Methods (4 papers), Insect and Pesticide Research (1 paper), Environmental Toxicology and Ecotoxicology (1 paper), Mass Spectrometry Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Enzyme function and inhibition (1 paper). The work is most often cited by research in Pharmacology (1.0k citations), Computational Theory and Mathematics (719 citations), Organic Chemistry (541 citations), Complementary and alternative medicine (150 citations) and Plant Science (195 citations). J.J. Height has collaborated with scholars based in United States. Frequent co-authors include Jonah Cheung, M. Rudolph, F. Burshteyn, Matthew C. Franklin, J. Love, M. Cassidy, E. Gary, Scott D. Pegan, S.M. Bester and Mark D. Winemiller. Their work appears in journals such as Chemical Research in Toxicology, ACS Medicinal Chemistry Letters, Enzyme and Microbial Technology, Protein Science and Journal of Medicinal Chemistry.
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.