Paul G. Schmidt
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Materials Chemistry
- Applied Mathematics top 5%
- Spectroscopy top 10%
- Co-authors
- Irwin D. KuntzDebra A. FeakesM. Frederick HawthorneWilliam F. BauerMonica LazzoKenneth ShellyPaul F. AgrisJesús Ildefonso Díaz Díaz
- Topics
- Advanced Mathematical Modeling in Engineering (9 papers)Nonlinear Partial Differential Equations (7 papers)DNA and Nucleic Acid Chemistry (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Paul G. Schmidt
42 papers receiving 671 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 324
- Radiology, Nuclear Medicine and Imaging 140
- Materials Chemistry 120
- Applied Mathematics 117
- Spectroscopy 78
Countries citing papers authored by Paul G. Schmidt
This map shows the geographic impact of Paul G. Schmidt'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 Paul G. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul G. Schmidt more than expected).
Fields of papers citing papers by Paul G. Schmidt
This network shows the impact of papers produced by Paul G. Schmidt. 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 Paul G. Schmidt. The network helps show where Paul G. Schmidt may publish in the future.
Co-authorship network of co-authors of Paul G. Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Paul G. Schmidt. A scholar is included among the top collaborators of Paul G. Schmidt 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 Paul G. Schmidt. Paul G. Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | Large radial solutions of a polyharmonic equation with superlinear growth | 6 |
| 5 | A parabolic system involving a quadratic gradient term related to the Boussinesq approximation | 14 |
| 6 | 8 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 129 | |
| 10 | 2 | |
| 11 | 34 | |
| 12 | 26 | |
| 13 | [Pustulosis subcornealis Sneddon-Wilkinson and metastasizing seminoma--random coincidence or cutaneous paraneoplasia?]. | 0 |
| 14 | 53 | |
| 15 | 42 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | 40 | |
| 19 | 2 | |
| 20 | 30 |
About Paul G. Schmidt
Paul G. Schmidt is a scholar working on Applied Mathematics, Biophysics and Computational Theory and Mathematics, having authored 45 papers that have together received 728 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (9 papers), Nonlinear Partial Differential Equations (7 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Applied Mathematics (117 citations), Biophysics (49 citations) and Radiology, Nuclear Medicine and Imaging (140 citations). Paul G. Schmidt has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Irwin D. Kuntz, Debra A. Feakes, M. Frederick Hawthorne, William F. Bauer, Monica Lazzo, Kenneth Shelly, Paul F. Agris, Jesús Ildefonso Díaz Díaz, A. J. Meir and Daniel H. Rich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.