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
-
- Pharmacogenetics and Drug Metabolism 5
- Co-authors
- Martin L. Yarmush (12 shared papers)Piyun Chao (5 shared papers)Timothy J. Maguire (5 shared papers)K.-C. Cheng (4 shared papers)Rene S. Schloss (7 shared papers)Tim J. Maguire (6 shared papers)Yaakov Nahmias (2 shared papers)Srivatsan Kidambi (1 shared paper)
- Journals
- Toxicology and Applied Pharmacology (2 papers)Biochemical Pharmacology (2 papers)Biotechnology and Bioengineering (2 papers)Tissue Engineering (2 papers)Toxicology Letters (1 paper)
- Partner nations
- United StatesIsraelBelgium
In The Last Decade
Eric Novik
17 papers receiving 910 citations
Peers
Comparison fields: 5 of 76
- Hepatology 386
- Pharmacology 131
- Biomedical Engineering 530
- Surgery 262
- Biomaterials 62
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 | 185 | |
| 2 | 2009 | 180 | |
| 3 | 2009 | 145 | |
| 4 | 2005 | 132 | |
| 5 | 2007 | 61 | |
| 6 | 2017 | 57 | |
| 7 | 2013 | 51 | |
| 8 | 2009 | 38 | |
| 9 | 2019 | 33 | |
| 10 | 2017 | 26 | |
| 11 | 2006 | 24 | |
| 12 | 2009 | 16 | |
| 13 | 2009 | 13 | |
| 14 | 2008 | 8 | |
| 15 | 2005 | 2 | |
| 16 | 2014 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2006 | 0 | |
| 19 | 2007 | 0 |
About Eric Novik
Eric Novik is a scholar working on Hepatology, Pharmacology, Biomedical Engineering, Surgery and Molecular Biology, having authored 19 papers that have together received 973 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), Pancreatic function and diabetes (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Hepatitis B Virus Studies (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Hepatology (386 citations), Pharmacology (131 citations), Biomedical Engineering (530 citations), Surgery (262 citations) and Biomaterials (62 citations). Eric Novik has collaborated with scholars based in United States, Israel and Belgium. Frequent co-authors include Martin L. Yarmush, Piyun Chao, Timothy J. Maguire, K.-C. Cheng, Rene S. Schloss, Tim J. Maguire, Yaakov Nahmias, Srivatsan Kidambi, Nripen S. Sharma and Anil B. Shrirao. Their work appears in journals such as Toxicology and Applied Pharmacology, Biochemical Pharmacology, Biotechnology and Bioengineering, Tissue Engineering and Toxicology Letters.
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.