Solomon D. Kattar
Impact in
-
- Skin and Cellular Biology Research
- Cellular Mechanics and Interactions
-
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 5
-
- Plant Gene Expression Analysis 3
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Degradation and Inhibitors 2
- Co-authors
- Jason T. Yabe (1 shared paper)THOMAS B. SHEA (1 shared paper)A. Mattos Pimenta (1 shared paper)Sanjiv Shah (3 shared papers)Astrid M. Kral (1 shared paper)Joon O. Jung (1 shared paper)Alexey Rivkin (1 shared paper)Thomas Albert Miller (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (8 papers)Journal of Medicinal Chemistry (5 papers)SLAS DISCOVERY (1 paper)Nature Communications (1 paper)RSC Medicinal Chemistry (1 paper)
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Solomon D. Kattar
17 papers receiving 408 citations
Peers
Comparison fields: 5 of 57
- Cell Biology 78
- Neurology 68
- Pharmacology 55
- Computational Theory and Mathematics 57
- Molecular Biology 212
Countries citing papers authored by Solomon D. Kattar
This map shows the geographic impact of Solomon D. Kattar'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 Solomon D. Kattar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Solomon D. Kattar more than expected).
Fields of papers citing papers by Solomon D. Kattar
This network shows the impact of papers produced by Solomon D. Kattar. 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 Solomon D. Kattar. The network helps show where Solomon D. Kattar may publish in the future.
Co-authors
The 25 scholars most cited alongside Solomon D. Kattar, 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 | 2001 | 101 | |
| 2 | 2007 | 39 | |
| 3 | 2009 | 38 | |
| 4 | 2021 | 33 | |
| 5 | 2019 | 30 | |
| 6 | 2018 | 24 | |
| 7 | 2008 | 23 | |
| 8 | 2017 | 23 | |
| 9 | 2022 | 21 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2023 | 13 | |
| 14 | 2015 | 12 | |
| 15 | 2024 | 6 | |
| 16 | 2012 | 5 | |
| 17 | 2021 | 2 |
About Solomon D. Kattar
Solomon D. Kattar is a scholar working on Neurology, Molecular Biology, Genetics, Pharmacology and Organic Chemistry, having authored 17 papers that have together received 414 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Plant Gene Expression Analysis (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Computational Drug Discovery Methods (2 papers), Protein Degradation and Inhibitors (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cell Biology (78 citations), Neurology (68 citations), Pharmacology (55 citations), Computational Theory and Mathematics (57 citations) and Molecular Biology (212 citations). Solomon D. Kattar has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Jason T. Yabe, THOMAS B. SHEA, A. Mattos Pimenta, Sanjiv Shah, Astrid M. Kral, Joon O. Jung, Alexey Rivkin, Thomas Albert Miller, Sujal V. Deshmukh and Bethany L. Hughes. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, SLAS DISCOVERY, Nature Communications and RSC Medicinal Chemistry.
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.