Eric Novik
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
- Hepatology 12
- Liver physiology and pathology 11
-
- Pluripotent Stem Cells Research 7
- Co-authors
- Martin L. Yarmush (12 shared papers)Piyun Chao (5 shared papers)K.-C. Cheng (4 shared papers)Timothy J. Maguire (5 shared papers)Rene Schloss (7 shared papers)Tim Maguire (6 shared papers)Yaakov Nahmias (2 shared papers)Srivatsan Kidambi (1 shared paper)
- Journals
- Tissue Engineering (2 papers)Biochemical Pharmacology (2 papers)Toxicology and Applied Pharmacology (2 papers)Biotechnology and Bioengineering (2 papers)Current Drug Metabolism (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Eric Novik
16 papers receiving 895 citations
Peers
Comparison fields: 5 of 72
- Hepatology 376
- Pharmacology 128
- Biomedical Engineering 528
- Surgery 262
- Biomaterials 63
Countries citing papers authored by Eric Novik
This map shows the geographic impact of Eric Novik'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 Eric Novik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Novik more than expected).
Fields of papers citing papers by Eric Novik
This network shows the impact of papers produced by Eric Novik. 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 Eric Novik. The network helps show where Eric Novik may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Novik, 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 | 180 | |
| 2 | 2009 | 176 | |
| 3 | 2009 | 144 | |
| 4 | 2005 | 133 | |
| 5 | 2007 | 62 | |
| 6 | 2017 | 50 | |
| 7 | 2013 | 49 | |
| 8 | 2009 | 37 | |
| 9 | 2019 | 32 | |
| 10 | 2017 | 26 | |
| 11 | 2006 | 25 | |
| 12 | 2009 | 16 | |
| 13 | 2009 | 13 | |
| 14 | 2008 | 8 | |
| 15 | 2005 | 2 | |
| 16 | 2014 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2006 | 0 | |
| 19 | 2007 | 0 |
About Eric Novik
Eric Novik is a scholar working on Hepatology, Molecular Biology, Biomedical Engineering, Surgery and Pharmacology, having authored 19 papers that have together received 954 indexed citations. Recurring topics across this work include Liver physiology and pathology (11 papers), 3D Printing in Biomedical Research (8 papers), Pluripotent Stem Cells Research (7 papers), Pharmacogenetics and Drug Metabolism (5 papers), Pancreatic function and diabetes (5 papers), Hepatitis B Virus Studies (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Hepatology (376 citations), Pharmacology (128 citations), Biomedical Engineering (528 citations), Surgery (262 citations) and Biomaterials (63 citations). Eric Novik has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Martin L. Yarmush, Piyun Chao, K.-C. Cheng, Timothy J. Maguire, Rene Schloss, Tim Maguire, Yaakov Nahmias, Srivatsan Kidambi, Nripen Sharma and Anil Shrirao. Their work appears in journals such as Tissue Engineering, Biochemical Pharmacology, Toxicology and Applied Pharmacology, Biotechnology and Bioengineering and Current Drug Metabolism.
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.