Glen Leesman
Impact in
- Pharmaceutical Science top 2%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
-
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
Papers in
-
- Breast Cancer Treatment Studies 6
-
- Drug Solubulity and Delivery Systems 4
- Co-authors
- Patrick J. Sinko (6 shared papers)Gordon L. Amidon (3 shared papers)George M. Grass (1 shared paper)Daniel A. Norris (1 shared paper)Richard L. Elliott (1 shared paper)Troy Bremer (6 shared papers)Steven P. Linke (6 shared papers)Todd Barry (6 shared papers)
- Journals
- Pharmaceutical Research (4 papers)Clinical Cancer Research (2 papers)Cancer Research (2 papers)Cancers (1 paper)Biopharmaceutics & Drug Disposition (1 paper)
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Glen Leesman
15 papers receiving 527 citations
Peers
Comparison fields: 5 of 70
- Pharmaceutical Science 184
- Cancer Research 134
- Oncology 171
- Pharmacology 49
- Spectroscopy 78
Countries citing papers authored by Glen Leesman
This map shows the geographic impact of Glen Leesman'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 Glen Leesman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen Leesman more than expected).
Fields of papers citing papers by Glen Leesman
This network shows the impact of papers produced by Glen Leesman. 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 Glen Leesman. The network helps show where Glen Leesman may publish in the future.
Co-authors
The 25 scholars most cited alongside Glen Leesman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 131 | |
| 2 | 2000 | 80 | |
| 3 | 2018 | 72 | |
| 4 | 1999 | 59 | |
| 5 | 1980 | 55 | |
| 6 | 2020 | 36 | |
| 7 | 1993 | 26 | |
| 8 | 2011 | 24 | |
| 9 | 2011 | 23 | |
| 10 | 2021 | 21 | |
| 11 | 1997 | 10 | |
| 12 | 2018 | 6 | |
| 13 | 1996 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2017 | 1 |
About Glen Leesman
Glen Leesman is a scholar working on Cancer Research, Pharmaceutical Science, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 553 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Drug Solubulity and Delivery Systems (4 papers), Protein purification and stability (2 papers), Global Cancer Incidence and Screening (2 papers), Analytical Chemistry and Chromatography (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Inhalation and Respiratory Drug Delivery (1 paper) and Surfactants and Colloidal Systems (1 paper). The work is most often cited by research in Pharmaceutical Science (184 citations), Cancer Research (134 citations), Oncology (171 citations), Pharmacology (49 citations) and Spectroscopy (78 citations). Glen Leesman has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Patrick J. Sinko, Gordon L. Amidon, George M. Grass, Daniel A. Norris, Richard L. Elliott, Troy Bremer, Steven P. Linke, Todd Barry, Pat W. Whitworth and Fredrik Wärnberg. Their work appears in journals such as Pharmaceutical Research, Clinical Cancer Research, Cancer Research, Cancers and Biopharmaceutics & Drug Disposition.
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.