Ted W. Johnson
Impact in
- Organic Chemistry top 5%
- Synthesis and biological activity
-
- Computational Drug Discovery Methods
Papers in
-
- Cancer therapeutics and mechanisms 5
- Natural product bioactivities and synthesis 2
- Co-authors
- Martin P. Edwards (2 shared papers)Marc Montminy (3 shared papers)Klaus Dress (2 shared papers)Rebecca A. Gallego (4 shared papers)Bernard Peers (2 shared papers)James Leonard (2 shared papers)Kevin Ferreri (2 shared papers)Sang Yeoup Lee (1 shared paper)
- Journals
- Organic Letters (3 papers)ACS Medicinal Chemistry Letters (3 papers)Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Ted W. Johnson
28 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Organic Chemistry 395
- Computational Theory and Mathematics 214
- Genetics 331
- Molecular Biology 790
- Toxicology 38
Countries citing papers authored by Ted W. Johnson
This map shows the geographic impact of Ted W. 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 Ted W. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted W. Johnson more than expected).
Fields of papers citing papers by Ted W. Johnson
This network shows the impact of papers produced by Ted W. 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 Ted W. Johnson. The network helps show where Ted W. Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted W. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 293 | |
| 2 | 2009 | 266 | |
| 3 | 2018 | 224 | |
| 4 | 1995 | 135 | |
| 5 | 1997 | 96 | |
| 6 | 2012 | 59 | |
| 7 | 2016 | 53 | |
| 8 | 2009 | 45 | |
| 9 | 2000 | 43 | |
| 10 | 2001 | 42 | |
| 11 | 2017 | 41 | |
| 12 | 2016 | 40 | |
| 13 | 2015 | 34 | |
| 14 | 2001 | 29 | |
| 15 | 2000 | 24 | |
| 16 | 2019 | 21 | |
| 17 | 1997 | 21 | |
| 18 | 1999 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2018 | 14 |
About Ted W. Johnson
Ted W. Johnson is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Cancer therapeutics and mechanisms (5 papers), Pancreatic function and diabetes (4 papers), Computational Drug Discovery Methods (3 papers), Analytical Chemistry and Chromatography (2 papers), Natural product bioactivities and synthesis (2 papers), HER2/EGFR in Cancer Research (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Organic Chemistry (395 citations), Computational Theory and Mathematics (214 citations), Genetics (331 citations), Molecular Biology (790 citations) and Toxicology (38 citations). Ted W. Johnson has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Martin P. Edwards, Marc Montminy, Klaus Dress, Rebecca A. Gallego, Bernard Peers, James Leonard, Kevin Ferreri, Sang Yeoup Lee, Michael E. Jung and E. J. Corey. Their work appears in journals such as Organic Letters, ACS Medicinal Chemistry Letters, Journal of the American Chemical Society, Journal of Biological Chemistry 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.