Susan Grepper

662 total citations
8 papers, 545 citations indexed

About

Susan Grepper is a scholar working on Oncology, Pharmacology and Molecular Biology. According to data from OpenAlex, Susan Grepper has authored 8 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Pharmacology and 3 papers in Molecular Biology. Recurrent topics in Susan Grepper's work include Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Susan Grepper is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Susan Grepper collaborates with scholars based in United States, India and Canada. Susan Grepper's co-authors include Mei‐Sze Chua, Samuel So, Wei Wei, Wei Wei, Jashvant D. Unadkat, Ioannis Papageorgiou, Jasminder Sahi, Cornelia M. Smith, Mir Asif Iquebal and Muhammad Akram and has published in prestigious journals such as Hepatology, Journal of Pharmacology and Experimental Therapeutics and International Journal of Cancer.

In The Last Decade

Susan Grepper

8 papers receiving 537 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Susan Grepper United States 7 307 187 140 70 54 8 545
Andreas K. Nuessler Germany 7 118 0.4× 184 1.0× 189 1.4× 74 1.1× 98 1.8× 13 476
Titia E. Vrenken Netherlands 6 265 0.9× 123 0.7× 99 0.7× 104 1.5× 78 1.4× 8 541
Jenny Kaeding Canada 10 197 0.6× 262 1.4× 197 1.4× 34 0.5× 118 2.2× 10 484
Anneke Nina Werk Germany 10 207 0.7× 211 1.1× 221 1.6× 28 0.4× 53 1.0× 12 590
Annelies L. Draaisma Netherlands 8 118 0.4× 210 1.1× 227 1.6× 131 1.9× 115 2.1× 9 565
How Sung Lee Singapore 10 189 0.6× 110 0.6× 36 0.3× 31 0.4× 49 0.9× 19 485
M Agresti Italy 6 218 0.7× 179 1.0× 29 0.2× 51 0.7× 72 1.3× 16 462
Shinji Kobuchi Japan 13 122 0.4× 198 1.1× 60 0.4× 17 0.2× 53 1.0× 61 529
Krisztina Herédi‐Szabó Hungary 15 142 0.5× 457 2.4× 179 1.3× 40 0.6× 102 1.9× 21 644
Wei Duan China 7 174 0.6× 253 1.4× 71 0.5× 11 0.2× 61 1.1× 20 471

Countries citing papers authored by Susan Grepper

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Susan Grepper

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

All Works

8 of 8 papers shown
1.
Grepper, Susan, et al.. (2025). Species-Specific Liver Microtissues: A Set of Micro-physiological Systems to Assess Translational Hepatotoxicity in Drug Development (Abstract ID: 191855). Journal of Pharmacology and Experimental Therapeutics. 392(3). 103408–103408. 1 indexed citations
2.
Papageorgiou, Ioannis, Susan Grepper, & Jashvant D. Unadkat. (2012). Induction of Hepatic CYP3A Enzymes by Pregnancy-Related Hormones: Studies in Human Hepatocytes and Hepatic Cell Lines. Drug Metabolism and Disposition. 41(2). 281–290. 48 indexed citations
3.
Halladay, Jason, Susan Wong, S. Cyrus Khojasteh, & Susan Grepper. (2012). An ‘all-inclusive’ 96-well cytochrome P450 induction method: Measuring enzyme activity, mRNA levels, protein levels, and cytotoxicity from one well using cryopreserved human hepatocytes. Journal of Pharmacological and Toxicological Methods. 66(3). 270–275. 27 indexed citations
4.
Wei, Wei, Mei‐Sze Chua, Susan Grepper, & Samuel So. (2011). Soluble Frizzled-7 receptor inhibits Wnt signaling and sensitizes hepatocellular carcinoma cells towards doxorubicin. Molecular Cancer. 10(1). 86 indexed citations
5.
Akram, Muhammad, et al.. (2010). Hepatocytes as a Tool in Drug Metabolism, Transport and Safety Evaluations in Drug Discovery. Current Drug Discovery Technologies. 7(3). 188–198. 84 indexed citations
6.
Wei, Wei, Mei‐Sze Chua, Susan Grepper, & Samuel So. (2009). Blockade of Wnt-1 signaling leads to anti-tumor effects in hepatocellular carcinoma cells. Molecular Cancer. 8(1). 76–76. 84 indexed citations
7.
Wei, Wei, Mei‐Sze Chua, Susan Grepper, & Samuel So. (2009). Small molecule antagonists of Tcf4/β‐catenin complex inhibit the growth of HCC cells in vitro and in vivo. International Journal of Cancer. 126(10). 2426–2436. 112 indexed citations
8.
Trottier, Jocelyn, Mélanie Verreault, Susan Grepper, et al.. (2006). Human UDP-glucuronosyltransferase (UGT)1A3 enzyme conjugates chenodeoxycholic acid in the liver. Hepatology. 44(5). 1158–1170. 103 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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