Ali Shawki
Impact in
- Hematology top 1%
- Iron Metabolism and Disorders
- Nutrition and Dietetics top 1%
- Trace Elements in Health
Papers in
- Hematology 19
- Iron Metabolism and Disorders 19
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- Trace Elements in Health 15
- Co-authors
- Bryan Mackenzie (24 shared papers)Anthony C Illing (6 shared papers)Declan F. McCole (13 shared papers)Brian K. Sparkman (3 shared papers)Mitchell D. Knutson (3 shared papers)Christopher L. Cunningham (2 shared papers)Supak Jenkitkasemwong (2 shared papers)Chia‐Yu Wang (2 shared papers)
- Journals
- The FASEB Journal (12 papers)Gut Microbes (3 papers)Journal of Biological Chemistry (3 papers)Mucosal Immunology (2 papers)Cellular and Molecular Gastroenterology and Hepatology (2 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Ali Shawki
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Hematology 606
- Nutrition and Dietetics 795
- Health, Toxicology and Mutagenesis 396
- Genetics 246
- Neurology 62
Countries citing papers authored by Ali Shawki
This map shows the geographic impact of Ali Shawki'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 Ali Shawki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Shawki more than expected).
Fields of papers citing papers by Ali Shawki
This network shows the impact of papers produced by Ali Shawki. 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 Ali Shawki. The network helps show where Ali Shawki may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Shawki, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 319 | |
| 2 | 2012 | 220 | |
| 3 | 2011 | 185 | |
| 4 | 2015 | 119 | |
| 5 | 2020 | 114 | |
| 6 | 2013 | 104 | |
| 7 | 2016 | 96 | |
| 8 | 2012 | 68 | |
| 9 | 2010 | 53 | |
| 10 | 2018 | 47 | |
| 11 | 2009 | 37 | |
| 12 | 2021 | 31 | |
| 13 | 2016 | 30 | |
| 14 | 2023 | 24 | |
| 15 | 2019 | 19 | |
| 16 | 2015 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2020 | 14 | |
| 19 | 2021 | 10 | |
| 20 | 2009 | 10 |
About Ali Shawki
Ali Shawki is a scholar working on Hematology, Nutrition and Dietetics, Molecular Biology, Genetics and Health, Toxicology and Mutagenesis, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (19 papers), Trace Elements in Health (15 papers), Hemoglobinopathies and Related Disorders (9 papers), Gut microbiota and health (5 papers), Heavy Metal Exposure and Toxicity (5 papers), Ion Transport and Channel Regulation (4 papers), Protein Tyrosine Phosphatases (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Hematology (606 citations), Nutrition and Dietetics (795 citations), Health, Toxicology and Mutagenesis (396 citations), Genetics (246 citations) and Neurology (62 citations). Ali Shawki has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Bryan Mackenzie, Anthony C Illing, Declan F. McCole, Brian K. Sparkman, Mitchell D. Knutson, Christopher L. Cunningham, Supak Jenkitkasemwong, Chia‐Yu Wang, Elizabeta Nemeth and Tomas Ganz. Their work appears in journals such as The FASEB Journal, Gut Microbes, Journal of Biological Chemistry, Mucosal Immunology and Cellular and Molecular Gastroenterology and 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.