W. Todd Wipke
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Organic Chemistry top 5%
- Materials Chemistry top 10%
- Spectroscopy top 5%
- Co-authors
- E. J. CoreyWilliam G. DaubenBrian GoldmanW. Jeffrey HowePeter GundRichard D. CramerDavid RogersBakthan Singaram
- Topics
- Computational Drug Discovery Methods (10 papers)Analytical Chemistry and Chromatography (8 papers)Various Chemistry Research Topics (8 papers)
- Partner nations
- United StatesJapan
In The Last Decade
W. Todd Wipke
39 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computational Theory and Mathematics 560
- Molecular Biology 423
- Organic Chemistry 368
- Materials Chemistry 368
- Spectroscopy 244
Countries citing papers authored by W. Todd Wipke
This map shows the geographic impact of W. Todd Wipke'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 W. Todd Wipke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Todd Wipke more than expected).
Fields of papers citing papers by W. Todd Wipke
This network shows the impact of papers produced by W. Todd Wipke. 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 W. Todd Wipke. The network helps show where W. Todd Wipke may publish in the future.
Co-authorship network of co-authors of W. Todd Wipke
This figure shows the co-authorship network connecting the top 25 collaborators of W. Todd Wipke. A scholar is included among the top collaborators of W. Todd Wipke 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 W. Todd Wipke. W. Todd Wipke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 17 | |
| 13 | Computer-assisted organic synthesis : a symposium cosponsored by the Division of Chemical Information and the Division of Computers in Chemistry at the centennial meeting of the American Chemical Society, New York, N.Y., April 7-8, 1976 | 7 |
| 14 | 64 | |
| 15 | 28 | |
| 16 | Computer representation and manipulation of chemical information | 74 |
| 17 | 5 | |
| 18 | 66 | |
| 19 | Computer-Assisted Design of Complex Organic Synthesesbreakdown → | 447 |
| 20 | 38 |
About W. Todd Wipke
W. Todd Wipke is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Spectroscopy, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (8 papers) and Various Chemistry Research Topics (8 papers). The work is most often cited by research in Computational Theory and Mathematics (560 citations), Physical and Theoretical Chemistry (235 citations) and Spectroscopy (244 citations). W. Todd Wipke has collaborated with scholars based in United States and Japan. Frequent co-authors include E. J. Corey, William G. Dauben, Brian Goldman, W. Jeffrey Howe, Peter Gund, Richard D. Cramer, David Rogers, Bakthan Singaram, Whitney Bryks and David Rogers. Their work appears in journals such as Science, Journal of the American Chemical Society and The Journal of Organic 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.