Eric A. Hanse
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Physiology top 5%
- Adipose Tissue and Metabolism
- Adenosine and Purinergic Signaling
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Epigenetics and DNA Methylation 3
-
- Cancer, Hypoxia, and Metabolism 11
- Co-authors
- Xazmin H. Lowman (8 shared papers)Mei Kong (10 shared papers)Ameeta Kelekar (8 shared papers)Haiqing Li (5 shared papers)Thai Q. Tran (5 shared papers)Mari B. Ishak Gabra (5 shared papers)Jeffrey H. Albrecht (8 shared papers)Lisa K. Mullany (6 shared papers)
- Journals
- Cell Cycle (3 papers)Nature Communications (3 papers)Journal of Biological Chemistry (2 papers)Molecular Cancer (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Eric A. Hanse
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 450
- Physiology 90
- Hepatology 97
- Biological Psychiatry 24
- Immunology 201
Countries citing papers authored by Eric A. Hanse
This map shows the geographic impact of Eric A. Hanse'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 A. Hanse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric A. Hanse more than expected).
Fields of papers citing papers by Eric A. Hanse
This network shows the impact of papers produced by Eric A. Hanse. 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 A. Hanse. The network helps show where Eric A. Hanse may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric A. Hanse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 203 | |
| 2 | 2020 | 119 | |
| 3 | 2019 | 113 | |
| 4 | 2016 | 108 | |
| 5 | 2019 | 86 | |
| 6 | 2017 | 85 | |
| 7 | 2005 | 79 | |
| 8 | 2020 | 77 | |
| 9 | 2011 | 65 | |
| 10 | 2008 | 65 | |
| 11 | 2012 | 56 | |
| 12 | 2007 | 46 | |
| 13 | 2009 | 35 | |
| 14 | 2016 | 34 | |
| 15 | 2015 | 33 | |
| 16 | 2013 | 30 | |
| 17 | 2017 | 26 | |
| 18 | 2016 | 22 | |
| 19 | 2010 | 18 | |
| 20 | 2015 | 13 |
About Eric A. Hanse
Eric A. Hanse is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Biotechnology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (11 papers), Liver physiology and pathology (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer Research and Treatments (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Pancreatic function and diabetes (3 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Cancer Research (450 citations), Physiology (90 citations), Hepatology (97 citations), Biological Psychiatry (24 citations) and Immunology (201 citations). Eric A. Hanse has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Xazmin H. Lowman, Mei Kong, Ameeta Kelekar, Haiqing Li, Thai Q. Tran, Mari B. Ishak Gabra, Jeffrey H. Albrecht, Lisa K. Mullany, Ying Yang and Matthew T. Andrews. Their work appears in journals such as Cell Cycle, Nature Communications, Journal of Biological Chemistry, Molecular Cancer and Cell Death and Differentiation.
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.