John S. Cooperwood
- Organic Chemistry top 5%
- Molecular Biology
- Pharmacology top 10%
- Oncology
- Plant Science
- Co-authors
- Musiliyu A. MusaLekan M. LatinwoPatrick JosephCarl B. GoodmanRamesh BadisaSelina Darling‐ReedM. Omar F. KhanChung K. Chu
- Topics
- Synthesis and biological activity (7 papers)Estrogen and related hormone effects (7 papers)HIV/AIDS drug development and treatment (5 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
John S. Cooperwood
18 papers receiving 1000 citations
Peers
Comparison fields: 5 of 104
- Organic Chemistry 590
- Molecular Biology 309
- Pharmacology 167
- Oncology 104
- Plant Science 96
Countries citing papers authored by John S. Cooperwood
This map shows the geographic impact of John S. Cooperwood'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 John S. Cooperwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Cooperwood more than expected).
Fields of papers citing papers by John S. Cooperwood
This network shows the impact of papers produced by John S. Cooperwood. 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 John S. Cooperwood. The network helps show where John S. Cooperwood may publish in the future.
Co-authorship network of co-authors of John S. Cooperwood
This figure shows the co-authorship network connecting the top 25 collaborators of John S. Cooperwood. A scholar is included among the top collaborators of John S. Cooperwood 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 John S. Cooperwood. John S. Cooperwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Comparative proteomic analysis reveals growth inhibition by 3-N-alkyloxyestradiol derivative (SERM) in prostate cancer cells. | 1 |
| 2 | In vitro evaluation of 3-arylcoumarin derivatives in A549 cell line. | 15 |
| 3 | 4 | |
| 4 | Cytotoxic activity of new acetoxycoumarin derivatives in cancer cell lines. | 43 |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 15 | |
| 8 | 33 | |
| 9 | Selective cytotoxic activities of two novel synthetic drugs on human breast carcinoma MCF-7 cells. | 256 |
| 10 | 463 | |
| 11 | 53 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 20 | |
| 16 | 7 | |
| 17 | 81 | |
| 18 | 22 |
About John S. Cooperwood
John S. Cooperwood is a scholar working on Toxicology, Organic Chemistry and Infectious Diseases, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Synthesis and biological activity (7 papers), Estrogen and related hormone effects (7 papers) and HIV/AIDS drug development and treatment (5 papers). The work is most often cited by research in Toxicology (81 citations), Organic Chemistry (590 citations) and Pharmacology (167 citations). John S. Cooperwood has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Musiliyu A. Musa, Lekan M. Latinwo, Patrick Joseph, Carl B. Goodman, Ramesh Badisa, Selina Darling‐Reed, M. Omar F. Khan, Chung K. Chu, Joon Hee Hong and Peiyuan Wang. Their work appears in journals such as Current Medicinal Chemistry, Carbohydrate Research and Antiviral Research.
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.