Glen Leesman

830 total citations
15 papers, 548 citations indexed

About

Glen Leesman is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Glen Leesman has authored 15 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Glen Leesman's work include Breast Cancer Treatment Studies (6 papers), Drug Solubulity and Delivery Systems (4 papers) and Global Cancer Incidence and Screening (3 papers). Glen Leesman is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Drug Solubulity and Delivery Systems (4 papers) and Global Cancer Incidence and Screening (3 papers). Glen Leesman collaborates with scholars based in United States, Sweden and Switzerland. Glen Leesman's co-authors include Patrick J. Sinko, Gordon L. Amidon, George M. Grass, Daniel A. Norris, Richard L. Elliott, Todd Barry, Troy Bremer, Pat W. Whitworth, Steven P. Linke and Fredrik Wärnberg and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Journal of Controlled Release.

In The Last Decade

Glen Leesman

15 papers receiving 522 citations

Peers

Glen Leesman

ONCOL

SPECT

Weili Huang China

Yuzhuo Pan United States

Cécile Arellano France

Arian Emami Riedmaier United States

Stefan S. De Buck United States

O. Helen Chan United Kingdom

Hiroshi Komura Japan

Zhanglin Ni United States

Martin C. Dyroff United States

Douglas Ferguson United Kingdom

Weili Huang China

Glen Leesman

78 ×0.4

173 ×0.9

ONCOL

142 ×1.0

308 ×2.3

55 ×0.6

SPECT

Citations per year, relative to Glen Leesman Glen Leesman (= 1×) peers Weili Huang

Countries citing papers authored by Glen Leesman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Glen Leesman

This figure shows the co-authorship network connecting the top 25 collaborators of Glen Leesman. A scholar is included among the top collaborators of Glen Leesman 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 Glen Leesman. Glen Leesman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Karlsson, Per, Erik Holmberg, Kerstin Sandelin, et al.. (2021). Prognostic Risk Assessment and Prediction of Radiotherapy Benefit for Women with Ductal Carcinoma In Situ (DCIS) of the Breast, in a Randomized Clinical Trial (SweDCIS). Cancers. 13(23). 6103–6103. 20 indexed citations

Wärnberg, Fredrik, Per Karlsson, Erik Holmberg, et al.. (2021). Prognostic Risk Assessment and Prediction of Radiotherapy Benefit for Women with Ductal Carcinoma in Situ (DCIS) of the Breast in a Randomized Clinical Trial (SweDCIS). SSRN Electronic Journal. 4 indexed citations

Weinmann, Sheila, Michael C. Leo, Melanie Francisco, et al.. (2020). Validation of a Ductal Carcinoma In Situ Biomarker Profile for Risk of Recurrence after Breast-Conserving Surgery with and without Radiotherapy. Clinical Cancer Research. 26(15). 4054–4063. 34 indexed citations

Bremer, Troy, Pat W. Whitworth, Rakesh Patel, et al.. (2018). A Biological Signature for Breast Ductal Carcinoma In Situ to Predict Radiotherapy Benefit and Assess Recurrence Risk. Clinical Cancer Research. 24(23). 5895–5901. 71 indexed citations

Wärnberg, Fredrik, Hans Garmo, Yasin Folkvaljon, et al.. (2018). Abstract GS5-08: A validation of DCIS biological risk profile in a randomised study for radiation therapy with 20 year follow-up (SweDCIS). Cancer Research. 78(4_Supplement). GS5–8. 6 indexed citations

Bremer, Troy, Pat W. Whitworth, Todd Barry, et al.. (2017). Abstract S5-01: DCIS biological risk profile predicts risk of recurrence after breast conserving surgery in a Kaiser Permanente NW population. Cancer Research. 77(4_Supplement). S5–1. 1 indexed citations

Kim, Phillip, Xinjun Liu, Limin Liu, et al.. (2011). Highly sensitive proximity mediated immunoassay reveals HER2 status conversion in the circulating tumor cells of metastatic breast cancer patients. Proteome Science. 9(1). 75–75. 24 indexed citations

Wang, Sean K., et al.. (2011). Signatures of Drug Sensitivity in Nonsmall Cell Lung Cancer. PubMed. 2011. 1–13. 22 indexed citations

Norris, Daniel A., Glen Leesman, Patrick J. Sinko, & George M. Grass. (2000). Development of predictive pharmacokinetic simulation models for drug discovery. Journal of Controlled Release. 65(1-2). 55–62. 80 indexed citations

10.

Sinko, Patrick J., Yong‐Hee Lee, Glen Leesman, et al.. (1999). Biopharmaceutical Approaches for Developing and Assessing Oral Peptide Delivery Strategies and Systems: In Vitro Permeability and In Vivo Oral Absorption of Salmon Calcitonin. Pharmaceutical Research. 16(4). 527–533. 59 indexed citations

11.

Sinko, Patrick J., John P. Sutyak, Glen Leesman, et al.. (1997). Oral absorption of anti- AIDS nucleoside analogues. 3. Regional absorption andin vivo permeability of 2′, 3′ - dideoxyinosine in an intestinal-vascular access port (IVAP) dog model. Biopharmaceutics & Drug Disposition. 18(8). 697–710. 10 indexed citations

12.

Sinko, Patrick J., et al.. (1996). Analysis of intestinal perfusion data for highly permeable drugs using a numerical aqueous resistance--nonlinear regression method.. Pharmaceutical Research. 13(4). 570–576. 5 indexed citations

13.

Sinko, Patrick J., Glen Leesman, & Gordon L. Amidon. (1993). Mass Balance Approaches for Estimating the Intestinal Absorption and Metabolism of Peptides and Analogues: Theoretical Development and Applications. Pharmaceutical Research. 10(2). 271–275. 25 indexed citations

14.

Sinko, Patrick J., Glen Leesman, & Gordon L. Amidon. (1991). Predicting Fraction Dose Absorbed in Humans Using a Macroscopic Mass Balance Approach. Pharmaceutical Research. 8(8). 979–988. 131 indexed citations

15.

Amidon, Gordon L., Glen Leesman, & Richard L. Elliott. (1980). Improving intestinal absorption of water-insoluble compounds: A membrane metabolism strategy. Journal of Pharmaceutical Sciences. 69(12). 1363–1368. 56 indexed citations

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.

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