Zahi Damuni
- Biochemistry top 2%
- Biochemical Acid Research Studies 8
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders 6
- Cell Biology top 5%
- Muscle metabolism and nutrition 4
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling 8
- Polyamine Metabolism and Applications 7
- Mitochondrial Function and Pathology 5
- Biochemical and Molecular Research 4
- Physiology top 5%
-
- Enzyme Structure and Function 7
- Co-authors
- Mei LiAnthony MakkinjeLester J. ReedHui GuoHong GuoMargaret MerryfieldSamer W.K. Al-MurraniJohn Humphreys
- Journals
- Journal of Biological Chemistry (9 papers)Biochemical and Biophysical Research Communications (5 papers)Biochemistry (4 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Zahi Damuni
36 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 88
- Biochemistry 260
- Clinical Biochemistry 216
- Cell Biology 376
- Molecular Biology 1.6k
- Physiology 405
Countries citing papers authored by Zahi Damuni
This map shows the geographic impact of Zahi Damuni'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 Zahi Damuni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zahi Damuni more than expected).
Fields of papers citing papers by Zahi Damuni
This network shows the impact of papers produced by Zahi Damuni. 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 Zahi Damuni. The network helps show where Zahi Damuni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zahi Damuni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 35 | |
| 2 | 2003 | 89 | |
| 3 | 2003 | 19 | |
| 4 | 2000 | 41 | |
| 5 | 1998 | 33 | |
| 6 | 1996 | 400 | |
| 7 | 1995 | 34 | |
| 8 | 1995 | 187 | |
| 9 | 1995 | 36 | |
| 10 | 1994 | 28 | |
| 11 | 1994 | 22 | |
| 12 | 1994 | 49 | |
| 13 | 1994 | 79 | |
| 14 | 1993 | 9 | |
| 15 | 1992 | 22 | |
| 16 | 1990 | 9 | |
| 17 | 1988 | 6 | |
| 18 | 1988 | 27 | |
| 19 | 1985 | 97 | |
| 20 | 1985 | 10 |
About Zahi Damuni
Zahi Damuni is a scholar working on Biochemistry, Clinical Biochemistry and Cell Biology, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Biochemical Acid Research Studies (8 papers), Polyamine Metabolism and Applications (7 papers), Enzyme Structure and Function (7 papers), Metabolism and Genetic Disorders (6 papers), Mitochondrial Function and Pathology (5 papers), Biochemical and Molecular Research (4 papers) and Muscle metabolism and nutrition (4 papers). The work is most often cited by research in Biochemistry (260 citations), Clinical Biochemistry (216 citations) and Cell Biology (376 citations). Zahi Damuni has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Mei Li, Anthony Makkinje, Lester J. Reed, Hui Guo, Hong Guo, Margaret Merryfield, Samer W.K. Al-Murrani, John Humphreys, James R. Woodgett and Sunil Reddy. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Biochemistry, Biochemical Journal and Proceedings of the National Academy of Sciences.
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.