Christopher N. Johnson

2.6k total citations · 1 hit paper
41 papers, 1.7k citations indexed

About

Christopher N. Johnson is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Christopher N. Johnson has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organic Chemistry, 16 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Christopher N. Johnson's work include Computational Drug Discovery Methods (7 papers), Catalytic Cross-Coupling Reactions (5 papers) and Ubiquitin and proteasome pathways (4 papers). Christopher N. Johnson is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Catalytic Cross-Coupling Reactions (5 papers) and Ubiquitin and proteasome pathways (4 papers). Christopher N. Johnson collaborates with scholars based in United Kingdom, Switzerland and United States. Christopher N. Johnson's co-authors include Tom D. Heightman, David J. Wright, Honorine Lebraud, Daniel A. Erlanson, Rachel Grainger, Wolfgang Jahnke, Joseph P. A. Harrity, Mark W. Davies, Iwan J. P. de Esch and Paul N. Mortenson and has published in prestigious journals such as Chemical Reviews, Chemical Communications and Journal of Medicinal Chemistry.

In The Last Decade

Christopher N. Johnson

40 papers receiving 1.6k citations

Hit Papers

A Brief Introduction to Chemical Reaction Optimization 2023 2026 2024 2025 2023 50 100 150 200

Peers

Christopher N. Johnson
Philippe G. Nantermet United States
Christopher N. Johnson
Citations per year, relative to Christopher N. Johnson Christopher N. Johnson (= 1×) peers Philippe G. Nantermet

Countries citing papers authored by Christopher N. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Christopher N. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher N. Johnson. 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 Christopher N. Johnson. The network helps show where Christopher N. Johnson may publish in the future.

Co-authorship network of co-authors of Christopher N. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher N. Johnson. A scholar is included among the top collaborators of Christopher N. Johnson 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 Christopher N. Johnson. Christopher N. Johnson 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.
Arai, Kenta, Michelle R. Arkin, Daniel A. Erlanson, et al.. (2025). Fragment-to-Lead Medicinal Chemistry Publications in 2024: A Tenth Annual Perspective. Journal of Medicinal Chemistry. 68(23). 24830–24847.
2.
Taylor, Connor J., Alexander Pomberger, Kobi Felton, et al.. (2023). A Brief Introduction to Chemical Reaction Optimization. Chemical Reviews. 123(6). 3089–3126. 238 indexed citations breakdown →
3.
Taylor, Connor J., Kobi Felton, Daniel Wigh, et al.. (2023). Accelerated Chemical Reaction Optimization Using Multi-Task Learning. ACS Central Science. 9(5). 957–968. 64 indexed citations
4.
Esch, Iwan J. P. de, et al.. (2021). Fragment-to-Lead Medicinal Chemistry Publications in 2020. Journal of Medicinal Chemistry. 65(1). 84–99. 68 indexed citations
5.
Ward, George A., Edward J. Lewis, Jong Sook Ahn, et al.. (2018). ASTX660, a Novel Non-peptidomimetic Antagonist of cIAP1/2 and XIAP, Potently Induces TNFα-Dependent Apoptosis in Cancer Cell Lines and Inhibits Tumor Growth. Molecular Cancer Therapeutics. 17(7). 1381–1391. 53 indexed citations
6.
Corser, William, et al.. (2018). Liposomal bupivacaine reduces opioid consumption and length of stay in patients undergoing primary total hip arthroplasty. Hip International. 29(3). 276–281. 6 indexed citations
7.
Johnson, Christopher N., Alice S. Ha, Eleanor Y. Chen, & Darin Davidson. (2018). Lipomatous Soft-tissue Tumors. Journal of the American Academy of Orthopaedic Surgeons. 26(22). 779–788. 63 indexed citations
8.
Tamanini, Emiliano, Ildiko M. Buck, Gianni Chessari, et al.. (2017). Discovery of a Potent Nonpeptidomimetic, Small-Molecule Antagonist of Cellular Inhibitor of Apoptosis Protein 1 (cIAP1) and X-Linked Inhibitor of Apoptosis Protein (XIAP). Journal of Medicinal Chemistry. 60(11). 4611–4625. 57 indexed citations
9.
Lebraud, Honorine, David J. Wright, Christopher N. Johnson, & Tom D. Heightman. (2016). Protein Degradation by In-Cell Self-Assembly of Proteolysis Targeting Chimeras. ACS Central Science. 2(12). 927–934. 310 indexed citations
10.
Johnson, Christopher N., Daniel A. Erlanson, Christopher W. Murray, & David C. Rees. (2016). Fragment-to-Lead Medicinal Chemistry Publications in 2015. Journal of Medicinal Chemistry. 60(1). 89–99. 52 indexed citations
11.
Thompson, N., Mok‐Ryeon Ahn, Gianni Chessari, et al.. (2012). 85 Characterization of a Potent XIAP and CIAP1 Dual Antagonist in Models of Melanoma and Leukemia. European Journal of Cancer. 48. 27–27. 3 indexed citations
12.
Healy, Mark P., Gianpaolo Bravi, Andrew Billinton, et al.. (2010). Pyrazolopyridazine alpha-2-delta-1 ligands for the treatment of neuropathic pain. Bioorganic & Medicinal Chemistry Letters. 20(15). 4683–4688. 12 indexed citations
13.
Witty, David R., John H. Bateson, Guillaume Hervieu, et al.. (2006). Discovery of potent and stable conformationally constrained analogues of the MCH R1 antagonist SB-568849. Bioorganic & Medicinal Chemistry Letters. 16(18). 4872–4878. 18 indexed citations
14.
Martarello, Laurent, Maaz S. Ahmed, V J Cunningham, et al.. (2005). RADIOLABELLING AND IN VIVO EVALUATION OF [C-11]GSK215083 AS A POTENTIAL 5-HT6 PET RADIOLIGAND IN THE PORCINE BRAIN. Journal of Labelled Compounds and Radiopharmaceuticals. 48. 3 indexed citations
15.
Harrity, Joseph P. A., et al.. (2002). 5-Butyl-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)-3-(2,4,6-trimethylphenyl)isoxazole. Acta Crystallographica Section C Crystal Structure Communications. 58(3). o168–o169. 1 indexed citations
16.
Davies, Mark W., et al.. (2001). A regioselective cycloaddition route to isoxazoleboronic esters. Chemical Communications. 1558–1559. 46 indexed citations
17.
Austin, Nigel, Kim Y. Avenell, Izzy Boyfield, et al.. (2000). Novel 2,3,4,5-tetrahydro-1H-3-benzazepines with high affinity and selectivity for the dopamine D3 receptor. Bioorganic & Medicinal Chemistry Letters. 10(22). 2553–2555. 15 indexed citations
18.
Avenell, Kim Y., Izzy Boyfield, Michael S. Hadley, et al.. (1999). Heterocyclic analogues of 2-aminotetralins with high affinity and selectivity for the dopamine D3 receptor. Bioorganic & Medicinal Chemistry Letters. 9(18). 2715–2720. 14 indexed citations
19.
Austin, Nigel, Kim Y. Avenell, Izzy Boyfield, et al.. (1999). Novel 1,2,3,4-tetrahydroisoquinolines with high affinity and selectivity for the dopamine D3 receptor. Bioorganic & Medicinal Chemistry Letters. 9(2). 179–184. 15 indexed citations
20.
Boyfield, Izzy, Martyn C. Coldwell, Michael S. Hadley, et al.. (1996). Novel 2,5-disubstituted-1H-pyrroles with high affinity for the dopamine D3 receptor. Bioorganic & Medicinal Chemistry Letters. 6(11). 1233–1236. 10 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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