Brent L. Podlogar
- Molecular Biology
- Organic Chemistry top 10%
- Cellular and Molecular Neuroscience
- Computational Theory and Mathematics top 10%
- Pharmacology
- Co-authors
- David M. FergusonDouglas J. RaberIngo MueggeDavid A. DemeterAllen B. ReitzGregory C. LeoMarta PaterliniKwasi A. Ohemeng
- Topics
- Computational Drug Discovery Methods (3 papers)Cancer therapeutics and mechanisms (3 papers)Biochemical and Structural Characterization (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Brent L. Podlogar
15 papers receiving 317 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 165
- Organic Chemistry 158
- Cellular and Molecular Neuroscience 81
- Computational Theory and Mathematics 49
- Pharmacology 31
Countries citing papers authored by Brent L. Podlogar
This map shows the geographic impact of Brent L. Podlogar'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 Brent L. Podlogar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brent L. Podlogar more than expected).
Fields of papers citing papers by Brent L. Podlogar
This network shows the impact of papers produced by Brent L. Podlogar. 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 Brent L. Podlogar. The network helps show where Brent L. Podlogar may publish in the future.
Co-authorship network of co-authors of Brent L. Podlogar
This figure shows the co-authorship network connecting the top 25 collaborators of Brent L. Podlogar. A scholar is included among the top collaborators of Brent L. Podlogar 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 Brent L. Podlogar. Brent L. Podlogar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 12 | |
| 5 | QSAR and CoMFA: a perspective on the practical application to drug discovery. | 43 |
| 6 | Synthesis and evaluation of 4-(N,N-diarylamino)piperidines with high selectivity to the delta-opioid receptor: a combined 3D-QSAR and ligand docking study. | 9 |
| 7 | 47 | |
| 8 | 65 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 25 | |
| 12 | 17 | |
| 13 | 19 | |
| 14 | 5 | |
| 15 | 38 |
About Brent L. Podlogar
Brent L. Podlogar is a scholar working on Process Chemistry and Technology, Toxicology and Organic Chemistry, having authored 15 papers that have together received 335 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Cancer therapeutics and mechanisms (3 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Organic Chemistry (158 citations), Cellular and Molecular Neuroscience (81 citations) and Computational Theory and Mathematics (49 citations). Brent L. Podlogar has collaborated with scholars based in United States, China and India. Frequent co-authors include David M. Ferguson, Douglas J. Raber, Ingo Muegge, David A. Demeter, Allen B. Reitz, Gregory C. Leo, Marta Paterlini, Kwasi A. Ohemeng, Frank K. Brown and John F. Barrett. Their work appears in journals such as FEBS Letters, Journal of Medicinal Chemistry 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.