Ted Kamenecka
Impact in
- Organic Chemistry top 5%
- Synthetic Organic Chemistry Methods
- Advanced Synthetic Organic Chemistry
- Chemical synthesis and alkaloids
- Oncology top 10%
- Cancer Treatment and Pharmacology
Papers in
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- Chemical synthesis and alkaloids 3
- Synthetic Organic Chemistry Methods 2
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- Melanoma and MAPK Pathways 3
- Co-authors
- Samuel J. Danishefsky (4 shared papers)Peter Bertinato (4 shared papers)Aaron Balog (4 shared papers)Erik J. Sorensen (4 shared papers)Dai‐Shi Su (3 shared papers)Dong‐Fang Meng (3 shared papers)Philip V. LoGrasso (4 shared papers)Xinyi Song (3 shared papers)
- Journals
- ACS Chemical Neuroscience (1 paper)iScience (1 paper)Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Ted Kamenecka
10 papers receiving 741 citations
Peers
Comparison fields: 5 of 61
- Organic Chemistry 493
- Oncology 294
- Pharmacology 116
- Cellular and Molecular Neuroscience 96
- Molecular Biology 293
Countries citing papers authored by Ted Kamenecka
This map shows the geographic impact of Ted Kamenecka'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 Kamenecka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Kamenecka more than expected).
Fields of papers citing papers by Ted Kamenecka
This network shows the impact of papers produced by Ted Kamenecka. 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 Kamenecka. The network helps show where Ted Kamenecka may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted Kamenecka, 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 | 1997 | 197 | |
| 2 | 1996 | 186 | |
| 3 | 2005 | 124 | |
| 4 | 1996 | 73 | |
| 5 | 2009 | 58 | |
| 6 | 2009 | 53 | |
| 7 | 2011 | 52 | |
| 8 | 2008 | 21 | |
| 9 | 2020 | 3 | |
| 10 | 1997 | 1 |
About Ted Kamenecka
Ted Kamenecka is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 768 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (4 papers), Computational Drug Discovery Methods (3 papers), Melanoma and MAPK Pathways (3 papers), Chemical synthesis and alkaloids (3 papers), Synthetic Organic Chemistry Methods (2 papers), Phytochemistry and Bioactive Compounds (2 papers), Nerve injury and regeneration (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Organic Chemistry (493 citations), Oncology (294 citations), Pharmacology (116 citations), Cellular and Molecular Neuroscience (96 citations) and Molecular Biology (293 citations). Ted Kamenecka has collaborated with scholars based in United States. Frequent co-authors include Samuel J. Danishefsky, Peter Bertinato, Aaron Balog, Erik J. Sorensen, Dai‐Shi Su, Dong‐Fang Meng, Philip V. LoGrasso, Xinyi Song, Derek R. Duckett and Yuan Yuan Ling. Their work appears in journals such as ACS Chemical Neuroscience, iScience, 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.