Andrew E. Greenstein
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Protease and Inhibitor Mechanisms 5
- Cancer, Hypoxia, and Metabolism 4
- Oncology 11
- Co-authors
- Tom Alber (6 shared papers)Victoria Smith (5 shared papers)T. Noelle Lombana (3 shared papers)Nathaniel Echols (3 shared papers)Zhenwei Peng (1 shared paper)Yury Popov (1 shared paper)Margaret Robinson (4 shared papers)Deanna Sverdlov (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Journal of Biological Chemistry (3 papers)PLoS ONE (3 papers)Annals of Oncology (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Andrew E. Greenstein
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Hepatology 225
- Infectious Diseases 241
- Cancer Research 137
- Epidemiology 295
- Immunology 167
Countries citing papers authored by Andrew E. Greenstein
This map shows the geographic impact of Andrew E. Greenstein'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 Andrew E. Greenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew E. Greenstein more than expected).
Fields of papers citing papers by Andrew E. Greenstein
This network shows the impact of papers produced by Andrew E. Greenstein. 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 Andrew E. Greenstein. The network helps show where Andrew E. Greenstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew E. Greenstein, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 171 | |
| 2 | 2018 | 121 | |
| 3 | 2010 | 79 | |
| 4 | 2005 | 77 | |
| 5 | 2017 | 76 | |
| 6 | 2018 | 71 | |
| 7 | 2007 | 68 | |
| 8 | 2004 | 60 | |
| 9 | 2010 | 48 | |
| 10 | 2007 | 48 | |
| 11 | 2010 | 39 | |
| 12 | 2018 | 32 | |
| 13 | 2011 | 29 | |
| 14 | 2011 | 28 | |
| 15 | 2022 | 20 | |
| 16 | 2021 | 19 | |
| 17 | 2012 | 18 | |
| 18 | 2023 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2022 | 15 |
About Andrew E. Greenstein
Andrew E. Greenstein is a scholar working on Cancer Research, Oncology, Molecular Biology, Hepatology and Infectious Diseases, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers), Hormonal Regulation and Hypertension (5 papers), Protease and Inhibitor Mechanisms (5 papers), Bacterial Genetics and Biotechnology (4 papers), Tuberculosis Research and Epidemiology (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Hepatology (225 citations), Infectious Diseases (241 citations), Cancer Research (137 citations), Epidemiology (295 citations) and Immunology (167 citations). Andrew E. Greenstein has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Tom Alber, Victoria Smith, T. Noelle Lombana, Nathaniel Echols, Zhenwei Peng, Yury Popov, Margaret Robinson, Deanna Sverdlov, Susan B. Liu and Detlef Schuppan. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, PLoS ONE, Annals of Oncology and PLoS Pathogens.
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.