I Lieberman
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Biochemistry top 10%
Papers in
-
- Liver physiology and pathology 8
- Genetics 3
- Diabetes and associated disorders 3
- Co-authors
- Kinji Tsukada (5 shared papers)S. Kishimoto (1 shared paper)Saul Surrey (2 shared papers)Michael K. Turner (1 shared paper)Richard Abrams (1 shared paper)William A. Rudert (2 shared papers)H. Albert Barker (3 shared papers)Reuben Zemel (2 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Nature (4 papers)Experimental Cell Research (2 papers)The Lancet (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
I Lieberman
22 papers receiving 673 citations
Peers
Comparison fields: 5 of 38
- Hepatology 124
- Biochemistry 19
- Molecular Biology 229
- Cell Biology 25
- Aging 2
Countries citing papers authored by I Lieberman
This map shows the geographic impact of I Lieberman'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 I Lieberman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Lieberman more than expected).
Fields of papers citing papers by I Lieberman
This network shows the impact of papers produced by I Lieberman. 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 I Lieberman. The network helps show where I Lieberman may publish in the future.
Co-authors
The 25 scholars most cited alongside I Lieberman, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 107 | |
| 2 | 1975 | 100 | |
| 3 | 1968 | 99 | |
| 4 | 1964 | 78 | |
| 5 | 1973 | 64 | |
| 6 | 1953 | 51 | |
| 7 | 1968 | 50 | |
| 8 | 1968 | 39 | |
| 9 | 1968 | 34 | |
| 10 | 1968 | 33 | |
| 11 | 1969 | 28 | |
| 12 | 1976 | 20 | |
| 13 | 1975 | 14 | |
| 14 | 1953 | 13 | |
| 15 | 1990 | 13 | |
| 16 | 1965 | 8 | |
| 17 | 1956 | 7 | |
| 18 | 1973 | 5 | |
| 19 | FK 506 prevents spontaneous diabetes in the BB rat. | 1991 | 5 |
| 20 | 1955 | 4 |
About I Lieberman
I Lieberman is a scholar working on Hepatology, Genetics, Cell Biology, Molecular Biology and Neurology, having authored 23 papers that have together received 777 indexed citations. Recurring topics across this work include Liver physiology and pathology (8 papers), Diabetes and associated disorders (3 papers), Parkinson's Disease Mechanisms and Treatments (1 paper), RNA and protein synthesis mechanisms (1 paper), Nuclear Structure and Function (1 paper), Microtubule and mitosis dynamics (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Hepatology (124 citations), Biochemistry (19 citations), Molecular Biology (229 citations), Cell Biology (25 citations) and Aging (2 citations). I Lieberman has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Kinji Tsukada, S. Kishimoto, Saul Surrey, Michael K. Turner, Richard Abrams, William A. Rudert, H. Albert Barker, Reuben Zemel, Joseph J Katz and William E. Lynch. Their work appears in journals such as Journal of Biological Chemistry, Nature, Experimental Cell Research, The Lancet and Methods in enzymology on CD-ROM/Methods in enzymology.
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.