Stephen D. Warren
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging
- Organic Chemistry
- Materials Chemistry
- Co-authors
- Anthony NichollsGregory L. WarrenD. ThanhBrian KelleyJanet F. EaryC BadgerK. A. KrohnK. Richter
- Topics
- Crystal structures of chemical compounds (6 papers)Synthesis and biological activity (4 papers)Radiopharmaceutical Chemistry and Applications (4 papers)
- Cited by
- Computational Theory and MathematicsRadiology, Nuclear Medicine and ImagingPharmaceutical Science
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Stephen D. Warren
15 papers receiving 239 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 118
- Computational Theory and Mathematics 85
- Radiology, Nuclear Medicine and Imaging 80
- Organic Chemistry 48
- Materials Chemistry 44
Countries citing papers authored by Stephen D. Warren
This map shows the geographic impact of Stephen D. Warren'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 Stephen D. Warren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen D. Warren more than expected).
Fields of papers citing papers by Stephen D. Warren
This network shows the impact of papers produced by Stephen D. Warren. 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 Stephen D. Warren. The network helps show where Stephen D. Warren may publish in the future.
Co-authorship network of co-authors of Stephen D. Warren
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen D. Warren. A scholar is included among the top collaborators of Stephen D. Warren 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 Stephen D. Warren. Stephen D. Warren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 118 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 21 | |
| 12 | Improving the tumor retention of radioiodinated antibody: aryl carbohydrate adducts. | 49 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 18 |
About Stephen D. Warren
Stephen D. Warren is a scholar working on Inorganic Chemistry, Pharmaceutical Science and Physical and Theoretical Chemistry, having authored 15 papers that have together received 250 indexed citations. Recurring topics across this work include Crystal structures of chemical compounds (6 papers), Synthesis and biological activity (4 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (85 citations), Radiology, Nuclear Medicine and Imaging (80 citations) and Pharmaceutical Science (16 citations). Stephen D. Warren has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Anthony Nicholls, Gregory L. Warren, D. Thanh, Brian Kelley, Janet F. Eary, C Badger, K. A. Krohn, K. Richter, W. B. Nelp and Oliver W. Press. Their work appears in journals such as Journal of Medicinal Chemistry, Tetrahedron Letters and Drug Discovery Today.
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.