J.J. Height

1.4k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

J.J. Height is a scholar working on Pharmacology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, J.J. Height has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 5 papers in Plant Science and 4 papers in Computational Theory and Mathematics. Recurrent topics in J.J. Height's work include Cholinesterase and Neurodegenerative Diseases (5 papers), Pesticide Exposure and Toxicity (5 papers) and Computational Drug Discovery Methods (4 papers). J.J. Height is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (5 papers), Pesticide Exposure and Toxicity (5 papers) and Computational Drug Discovery Methods (4 papers). J.J. Height collaborates with scholars based in United States. J.J. Height's co-authors include Jonah Cheung, M. Cassidy, E. Gary, J. Love, Matthew C. Franklin, F. Burshteyn, M. Rudolph, S.M. Bester, Scott D. Pegan and Mark A. Guelta and has published in prestigious journals such as Journal of Medicinal Chemistry, Protein Science and Chemical Research in Toxicology.

In The Last Decade

J.J. Height

8 papers receiving 1.2k citations

Hit Papers

Structures of Human Acetylcholinesterase in Complex with ... 2012 2026 2016 2021 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.J. Height United States 6 1.0k 719 541 277 195 8 1.2k
F. Burshteyn United States 3 957 0.9× 692 1.0× 525 1.0× 331 1.2× 144 0.7× 3 1.2k
Vendula Šepsová Czechia 17 914 0.9× 568 0.8× 403 0.7× 282 1.0× 179 0.9× 37 1.2k
E. Carletti France 14 757 0.7× 433 0.6× 310 0.6× 252 0.9× 383 2.0× 14 1.0k
Natalia P. Boltneva Russia 20 740 0.7× 517 0.7× 606 1.1× 305 1.1× 72 0.4× 72 1.1k
Katarína Špilovská Czechia 14 553 0.5× 365 0.5× 346 0.6× 194 0.7× 85 0.4× 15 819
Ling-Yi Kong China 23 558 0.6× 171 0.2× 319 0.6× 539 1.9× 360 1.8× 41 1.2k
Anita Bosak Croatia 17 524 0.5× 285 0.4× 196 0.4× 125 0.5× 292 1.5× 35 716
Lorna Piazzi Italy 18 987 1.0× 658 0.9× 769 1.4× 373 1.3× 65 0.3× 25 1.5k
Marie-Thérèse Froment France 17 744 0.7× 418 0.6× 149 0.3× 228 0.8× 564 2.9× 23 988
Ľubica Múčková Czechia 13 383 0.4× 236 0.3× 202 0.4× 112 0.4× 152 0.8× 38 588

Countries citing papers authored by J.J. Height

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J.J. Height

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

All Works

8 of 8 papers shown
1.
Bester, S.M., Mark A. Guelta, Jonah Cheung, et al.. (2021). Structural and Biochemical Insights into the Inhibition of Human Acetylcholinesterase by G-Series Nerve Agents and Subsequent Reactivation by HI-6. Chemical Research in Toxicology. 34(3). 804–816. 9 indexed citations
2.
Hsu, Fu‐Lian, Dana R. Anderson, S.M. Bester, et al.. (2019). Synthesis and Molecular Properties of Nerve Agent Reactivator HLö-7 Dimethanesulfonate. ACS Medicinal Chemistry Letters. 10(5). 761–766. 7 indexed citations
3.
Bester, S.M., Kaylin A. Adipietro, Jonah Cheung, et al.. (2019). The structural and biochemical impacts of monomerizing human acetylcholinesterase. Protein Science. 28(6). 1106–1114. 12 indexed citations
4.
Bester, S.M., Mark A. Guelta, Jonah Cheung, et al.. (2018). Structural Insights of Stereospecific Inhibition of Human Acetylcholinesterase by VX and Subsequent Reactivation by HI-6. Chemical Research in Toxicology. 31(12). 1405–1417. 43 indexed citations
5.
Height, J.J., et al.. (2017). An OPAA enzyme mutant with increased catalytic efficiency on the nerve agents sarin, soman, and GP. Enzyme and Microbial Technology. 112. 65–71. 20 indexed citations
6.
Cheung, Jonah, M. Rudolph, F. Burshteyn, et al.. (2012). Structures of Human Acetylcholinesterase in Complex with Pharmacologically Important Ligands. Journal of Medicinal Chemistry. 55(22). 10282–10286. 1086 indexed citations breakdown →
7.
Harvey, Steven P., et al.. (2011). Capacity of Straw for Repeated Binding of Crude Oil from Salt Water and Its Effect on Biodegradation. Journal of Hazardous Toxic and Radioactive Waste. 16(1). 75–78. 1 indexed citations
8.
Vestling, Martha M., Constance M. Murphy, J.J. Height, et al.. (1992). Mass balance strategy for protein sequencing. International journal of peptide & protein research. 40(6). 546–550. 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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