Sayed Ali
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Colorectal Cancer Treatments and Studies
Papers in ⓘ
- Oncology 16
- Cancer Immunotherapy and Biomarkers 9
- Colorectal Cancer Treatments and Studies 3
- Cutaneous Melanoma Detection and Management 3
- CAR-T cell therapy research 3
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- Melanoma and MAPK Pathways 6
- Epigenetics and DNA Methylation 2
- Co-authors
- Howard Gurney (3 shared papers)Aine Clements (1 shared paper)James Kuo (1 shared paper)Beixue Gao (1 shared paper)Mitali Fadia (3 shared papers)Desmond Yip (5 shared papers)Arun K. Singavi (1 shared paper)Deepak Kilari (1 shared paper)
- Journals
- Annals of Oncology (3 papers)Clinical Cancer Research (2 papers)Melanoma Research (2 papers)Journal of Clinical Oncology (2 papers)Psycho-Oncology (1 paper)
- Partner nations
- AustraliaUnited StatesIran
In The Last Decade
Sayed Ali
23 papers receiving 525 citations
Peers
Comparison fields: 5 of 74
- Oncology 307
- Pulmonary and Respiratory Medicine 134
- Immunology 85
- Cancer Research 60
- Pharmacology 33
Countries citing papers authored by Sayed Ali
This map shows the geographic impact of Sayed Ali'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 Sayed Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayed Ali more than expected).
Fields of papers citing papers by Sayed Ali
This network shows the impact of papers produced by Sayed Ali. 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 Sayed Ali. The network helps show where Sayed Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Sayed Ali, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 64 | |
| 2 | 2011 | 60 | |
| 3 | 2017 | 60 | |
| 4 | 2016 | 52 | |
| 5 | 2020 | 49 | |
| 6 | 2019 | 38 | |
| 7 | 2017 | 32 | |
| 8 | 2021 | 29 | |
| 9 | 2020 | 25 | |
| 10 | 2015 | 20 | |
| 11 | 2008 | 20 | |
| 12 | 2018 | 17 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 11 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2015 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2013 | 3 | |
| 20 | 2013 | 2 |
About Sayed Ali
Sayed Ali is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 25 papers that have together received 530 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Melanoma and MAPK Pathways (6 papers), Colorectal Cancer Treatments and Studies (3 papers), Cutaneous Melanoma Detection and Management (3 papers), CAR-T cell therapy research (3 papers), Genetic factors in colorectal cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Oncology (307 citations), Pulmonary and Respiratory Medicine (134 citations), Immunology (85 citations), Cancer Research (60 citations) and Pharmacology (33 citations). Sayed Ali has collaborated with scholars based in Australia, United States and Iran. Frequent co-authors include Howard Gurney, Aine Clements, James Kuo, Beixue Gao, Mitali Fadia, Desmond Yip, Arun K. Singavi, Deepak Kilari, Ben George and Paul S. Ritch. Their work appears in journals such as Annals of Oncology, Clinical Cancer Research, Melanoma Research, Journal of Clinical Oncology and Psycho-Oncology.
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.