Afaf Elsaid
Impact in
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- Atherosclerosis and Cardiovascular Diseases
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- Cytokine Signaling Pathways and Interactions
Papers in
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- Glutathione Transferases and Polymorphisms 4
- Oncology 13
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Rami M. Elshazli (19 shared papers)Ahmad Settin (5 shared papers)Afrah F. Salama (1 shared paper)Zakaria El-Khayat (3 shared papers)Ehab M. M. Ali (1 shared paper)Hassan Abol‐Enein (4 shared papers)Ayman Hammad (4 shared papers)Hisham Megahed (2 shared papers)
- Journals
- Biochemical Genetics (7 papers)Molecular Biology Reports (4 papers)Gene (3 papers)Archives of Physiology and Biochemistry (3 papers)Scientific Reports (2 papers)
- Partner nations
- EgyptSaudi ArabiaJapan
In The Last Decade
Afaf Elsaid
42 papers receiving 283 citations
Peers
Comparison fields: 5 of 60
- Immunology 74
- Oncology 68
- Cancer Research 37
- Rheumatology 34
- Pharmacology 17
Countries citing papers authored by Afaf Elsaid
This map shows the geographic impact of Afaf Elsaid'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 Afaf Elsaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afaf Elsaid more than expected).
Fields of papers citing papers by Afaf Elsaid
This network shows the impact of papers produced by Afaf Elsaid. 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 Afaf Elsaid. The network helps show where Afaf Elsaid may publish in the future.
Co-authors
The 25 scholars most cited alongside Afaf Elsaid, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Association of polymorphisms G(-174)C in IL-6 gene and G(-1082)A in IL-10 gene with traditional cardiovascular risk factors in patients with coronary artery disease. | 2014 | 34 |
| 2 | 2019 | 21 | |
| 3 | 2016 | 17 | |
| 4 | 2016 | 17 | |
| 5 | 2014 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2020 | 11 | |
| 8 | 2015 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2018 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2012 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2017 | 6 |
About Afaf Elsaid
Afaf Elsaid is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Physiology, having authored 49 papers that have together received 288 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), Renal Diseases and Glomerulopathies (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Genetic factors in colorectal cancer (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Glutathione Transferases and Polymorphisms (4 papers) and IL-33, ST2, and ILC Pathways (4 papers). The work is most often cited by research in Immunology (74 citations), Oncology (68 citations), Cancer Research (37 citations), Rheumatology (34 citations) and Pharmacology (17 citations). Afaf Elsaid has collaborated with scholars based in Egypt, Saudi Arabia and Japan. Frequent co-authors include Rami M. Elshazli, Ahmad Settin, Afrah F. Salama, Zakaria El-Khayat, Ehab M. M. Ali, Hassan Abol‐Enein, Ayman Hammad, Hisham Megahed, Eman A. Toraih and Sohier Yahia. Their work appears in journals such as Biochemical Genetics, Molecular Biology Reports, Gene, Archives of Physiology and Biochemistry and Scientific Reports.
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.