Susan Grepper
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Hepatology top 10%
- Liver physiology and pathology
Papers in
- Oncology 5
- Drug Transport and Resistance Mechanisms 4
- Peptidase Inhibition and Analysis 1
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- Pharmacogenetics and Drug Metabolism 4
- Co-authors
- Mei‐Sze Chua (3 shared papers)Samuel So (3 shared papers)Wei Wei (2 shared papers)Wei Wei (1 shared paper)Ioannis Papageorgiou (1 shared paper)Jashvant D. Unadkat (1 shared paper)Muhammad Akram (1 shared paper)Cornelia M. Smith (1 shared paper)
- Journals
- Molecular Cancer (2 papers)Drug Metabolism and Disposition (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)International Journal of Cancer (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Susan Grepper
8 papers receiving 537 citations
Peers
Comparison fields: 5 of 70
- Pharmacology 140
- Hepatology 70
- Oncology 187
- Molecular Biology 307
- Pediatrics, Perinatology and Child Health 54
Countries citing papers authored by Susan Grepper
This map shows the geographic impact of Susan Grepper'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 Susan Grepper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Grepper more than expected).
Fields of papers citing papers by Susan Grepper
This network shows the impact of papers produced by Susan Grepper. 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 Susan Grepper. The network helps show where Susan Grepper may publish in the future.
Co-authors
The 23 scholars most cited alongside Susan Grepper, 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 | 2009 | 112 | |
| 2 | 2006 | 103 | |
| 3 | 2011 | 86 | |
| 4 | 2010 | 84 | |
| 5 | 2009 | 84 | |
| 6 | 2012 | 48 | |
| 7 | 2012 | 27 | |
| 8 | 2025 | 1 |
About Susan Grepper
Susan Grepper is a scholar working on Oncology, Pharmacology, Molecular Biology, Epidemiology and Hepatology, having authored 8 papers that have together received 545 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related gene regulation (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Liver physiology and pathology (2 papers), Kruppel-like factors research (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Pharmacology (140 citations), Hepatology (70 citations), Oncology (187 citations), Molecular Biology (307 citations) and Pediatrics, Perinatology and Child Health (54 citations). Susan Grepper has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Mei‐Sze Chua, Samuel So, Wei Wei, Wei Wei, Ioannis Papageorgiou, Jashvant D. Unadkat, Muhammad Akram, Cornelia M. Smith, Mir Asif Iquebal and Jasminder Sahi. Their work appears in journals such as Molecular Cancer, Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, International Journal of Cancer and Hepatology.
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.