Hani Zaher
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- RNA and protein synthesis mechanisms 35
- RNA modifications and cancer 24
- RNA Research and Splicing 14
- Genetics 12
- Bacterial Genetics and Biotechnology 12
- Co-authors
- Rachel Green (10 shared papers)Liewei L. Yan (11 shared papers)Carrie L. Simms (9 shared papers)Peter J. Unrau (5 shared papers)Frank J. Gonzalez (6 shared papers)Joseph A. Ware (6 shared papers)Erica N. Thomas (5 shared papers)Joe Palandra (4 shared papers)
- Journals
- Molecular Cell (5 papers)RNA (5 papers)Cell Reports (4 papers)Journal of Biological Chemistry (3 papers)Cell (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Hani Zaher
61 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 121
- Pharmacology 359
- Molecular Biology 2.3k
- Oncology 576
- Genetics 417
- Cancer Research 181
Countries citing papers authored by Hani Zaher
This map shows the geographic impact of Hani Zaher'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 Hani Zaher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hani Zaher more than expected).
Fields of papers citing papers by Hani Zaher
This network shows the impact of papers produced by Hani Zaher. 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 Hani Zaher. The network helps show where Hani Zaher may publish in the future.
Co-authors
The 25 scholars most cited alongside Hani Zaher, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 292 | |
| 2 | 1998 | 267 | |
| 3 | 2017 | 229 | |
| 4 | 2008 | 169 | |
| 5 | 2014 | 161 | |
| 6 | 2007 | 140 | |
| 7 | 1998 | 133 | |
| 8 | 2019 | 130 | |
| 9 | 2006 | 125 | |
| 10 | 2020 | 123 | |
| 11 | 2019 | 113 | |
| 12 | 2008 | 110 | |
| 13 | 2008 | 102 | |
| 14 | 2008 | 89 | |
| 15 | 2010 | 86 | |
| 16 | 2016 | 86 | |
| 17 | 2019 | 85 | |
| 18 | 2016 | 84 | |
| 19 | 2021 | 50 | |
| 20 | 2011 | 47 |
About Hani Zaher
Hani Zaher is a scholar working on Molecular Biology, Genetics, Oncology, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 61 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (35 papers), RNA modifications and cancer (24 papers), RNA Research and Splicing (14 papers), Bacterial Genetics and Biotechnology (12 papers), Drug Transport and Resistance Mechanisms (7 papers), Viral Infections and Immunology Research (7 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Pharmacology (359 citations), Molecular Biology (2.3k citations), Oncology (576 citations), Genetics (417 citations) and Cancer Research (181 citations). Hani Zaher has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Rachel Green, Liewei L. Yan, Carrie L. Simms, Peter J. Unrau, Frank J. Gonzalez, Joseph A. Ware, Erica N. Thomas, Joe Palandra, Jeroen Buters and Angela M. Lucas. Their work appears in journals such as Molecular Cell, RNA, Cell Reports, Journal of Biological Chemistry and Cell.
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.