Mati Fridkin
- Cellular and Molecular Neuroscience top 0.2%
- Neuropeptides and Animal Physiology 75
- Microbiology top 0.5%
- Molecular Biology top 0.5%
- Chemical Synthesis and Analysis 71
- Receptor Mechanisms and Signaling 36
- Immunology top 1%
- Reproductive Medicine top 1%
- Hypothalamic control of reproductive hormones 22
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- Monoclonal and Polyclonal Antibodies Research 43
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- Alzheimer's disease research and treatments 20
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- Peptidase Inhibition and Analysis 19
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- Cholinesterase and Neurodegenerative Diseases 16
- Co-authors
- Illana GozesMoussa B. H. YoudimHailin ZhengDouglas E. BrennemanYitzhak KochYoram ShechterY. StabinskyHaim Tsubery
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Mati Fridkin
350 papers receiving 13.0k citations
Peers
Comparison fields: 5 of 150
- Cellular and Molecular Neuroscience 3.4k
- Microbiology 777
- Molecular Biology 6.2k
- Immunology 1.8k
- Reproductive Medicine 639
Countries citing papers authored by Mati Fridkin
This map shows the geographic impact of Mati Fridkin'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 Mati Fridkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mati Fridkin more than expected).
Fields of papers citing papers by Mati Fridkin
This network shows the impact of papers produced by Mati Fridkin. 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 Mati Fridkin. The network helps show where Mati Fridkin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mati Fridkin, 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 | 2019 | 4 | |
| 2 | 2005 | 10 | |
| 3 | 2004 | 36 | |
| 4 | 2002 | 14 | |
| 5 | 2002 | 20 | |
| 6 | 2002 | 23 | |
| 7 | 2001 | 53 | |
| 8 | 2001 | 115 | |
| 9 | 1999 | 67 | |
| 10 | 1998 | 9 | |
| 11 | 1997 | 14 | |
| 12 | 1997 | 5 | |
| 13 | 1994 | 11 | |
| 14 | 1991 | 69 | |
| 15 | 1990 | 253 | |
| 16 | 1990 | 52 | |
| 17 | 1989 | 20 | |
| 18 | 1979 | 63 | |
| 19 | 1977 | 42 | |
| 20 | 1974 | 1 |
About Mati Fridkin
Mati Fridkin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Reproductive Medicine, having authored 355 papers that have together received 13.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (75 papers), Chemical Synthesis and Analysis (71 papers), Monoclonal and Polyclonal Antibodies Research (43 papers), Receptor Mechanisms and Signaling (36 papers), Hypothalamic control of reproductive hormones (22 papers), Alzheimer's disease research and treatments (20 papers), Peptidase Inhibition and Analysis (19 papers) and Cholinesterase and Neurodegenerative Diseases (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.4k citations), Microbiology (777 citations) and Molecular Biology (6.2k citations). Mati Fridkin has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Illana Gozes, Moussa B. H. Youdim, Hailin Zheng, Douglas E. Brenneman, Yitzhak Koch, Yoram Shechter, Y. Stabinsky, Haim Tsubery, Abraham Patchornik and Pierre Gressèns. Their work appears in journals such as Nature, Science 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.