Daniel Goldenberg
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Virus-based gene therapy research
Papers in
-
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 3
- Genetics 10
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Amos B. Oppenheim (3 shared papers)Eithan Galun (22 shared papers)Orit Pappo (12 shared papers)Hilla Giladi (8 shared papers)Lina Mizrahi (10 shared papers)Nurith Mador (3 shared papers)Amos Panet (3 shared papers)Devorah Olam (10 shared papers)
- Journals
- Oncotarget (4 papers)Hepatology (3 papers)Journal of Virology (2 papers)Molecular Carcinogenesis (2 papers)Journal of Hepatology (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Daniel Goldenberg
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Hepatology 202
- Genetics 303
- Cancer Research 150
- Epidemiology 336
- Molecular Biology 720
Countries citing papers authored by Daniel Goldenberg
This map shows the geographic impact of Daniel Goldenberg'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 Daniel Goldenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Goldenberg more than expected).
Fields of papers citing papers by Daniel Goldenberg
This network shows the impact of papers produced by Daniel Goldenberg. 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 Daniel Goldenberg. The network helps show where Daniel Goldenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Goldenberg, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 199 | |
| 2 | 2010 | 100 | |
| 3 | 2011 | 98 | |
| 4 | 1998 | 92 | |
| 5 | 2007 | 87 | |
| 6 | 2006 | 76 | |
| 7 | 1997 | 73 | |
| 8 | 2013 | 67 | |
| 9 | 2022 | 59 | |
| 10 | 2006 | 51 | |
| 11 | 1993 | 44 | |
| 12 | 1995 | 43 | |
| 13 | 2021 | 41 | |
| 14 | 1997 | 37 | |
| 15 | 2002 | 35 | |
| 16 | 2013 | 34 | |
| 17 | 1996 | 31 | |
| 18 | 2020 | 30 | |
| 19 | 2016 | 27 | |
| 20 | 2007 | 24 |
About Daniel Goldenberg
Daniel Goldenberg is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Epidemiology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), RNA modifications and cancer (5 papers), Bacteriophages and microbial interactions (4 papers), Liver Disease Diagnosis and Treatment (4 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers), Galectins and Cancer Biology (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Hepatology (202 citations), Genetics (303 citations), Cancer Research (150 citations), Epidemiology (336 citations) and Molecular Biology (720 citations). Daniel Goldenberg has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Amos B. Oppenheim, Eithan Galun, Orit Pappo, Hilla Giladi, Lina Mizrahi, Nurith Mador, Amos Panet, Devorah Olam, A B Oppenheim and Israel Steiner. Their work appears in journals such as Oncotarget, Hepatology, Journal of Virology, Molecular Carcinogenesis and Journal of Hepatology.
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.