Azhar Ali
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Cell Biology top 5%
- Hemoglobin structure and function
Papers in
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- Peroxisome Proliferator-Activated Receptors 3
- Retinoids in leukemia and cellular processes 2
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- Cancer, Lipids, and Metabolism 4
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Chee Wai Fhu (4 shared papers)Sai Kiang Lim (7 shared papers)Yew Koon Lim (5 shared papers)Siew Meng Chong (3 shared papers)Frank Costantini (2 shared papers)Shen Kiat Lim (2 shared papers)Hongkyun Kim (2 shared papers)Yanping Wang (1 shared paper)
- Journals
- Theranostics (3 papers)Blood (2 papers)Breast Cancer Research and Treatment (2 papers)PLoS ONE (2 papers)International Journal of Gynecological Cancer (2 papers)
- Partner nations
- SingaporeUnited StatesItaly
In The Last Decade
Azhar Ali
31 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 383
- Cell Biology 235
- Clinical Biochemistry 73
- Biochemistry 70
- Molecular Biology 635
Countries citing papers authored by Azhar Ali
This map shows the geographic impact of Azhar 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 Azhar Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azhar Ali more than expected).
Fields of papers citing papers by Azhar Ali
This network shows the impact of papers produced by Azhar 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 Azhar Ali. The network helps show where Azhar Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Azhar 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fatty Acid Synthase: An Emerging Target in Cancer Hit paper breakdown → | 2020 | 279 |
| 2 | 1998 | 182 | |
| 3 | 2018 | 138 | |
| 4 | 2000 | 91 | |
| 5 | 2003 | 79 | |
| 6 | 2011 | 50 | |
| 7 | 2007 | 45 | |
| 8 | 2021 | 44 | |
| 9 | 2018 | 42 | |
| 10 | 2021 | 35 | |
| 11 | 2019 | 34 | |
| 12 | 2002 | 29 | |
| 13 | 2014 | 26 | |
| 14 | 2019 | 20 | |
| 15 | 2003 | 20 | |
| 16 | 2023 | 16 | |
| 17 | 2004 | 12 | |
| 18 | 2016 | 9 | |
| 19 | 1998 | 9 | |
| 20 | 2023 | 8 |
About Azhar Ali
Azhar Ali is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Genetics and Genetics, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (5 papers), Cancer, Lipids, and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Hemoglobin structure and function (3 papers), Neuroscience of respiration and sleep (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cancer Research (383 citations), Cell Biology (235 citations), Clinical Biochemistry (73 citations), Biochemistry (70 citations) and Molecular Biology (635 citations). Azhar Ali has collaborated with scholars based in Singapore, United States and Italy. Frequent co-authors include Chee Wai Fhu, Sai Kiang Lim, Yew Koon Lim, Siew Meng Chong, Frank Costantini, Shen Kiat Lim, Hongkyun Kim, Yanping Wang, Qian Zhang and Tan Min Chin. Their work appears in journals such as Theranostics, Blood, Breast Cancer Research and Treatment, PLoS ONE and International Journal of Gynecological Cancer.
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.