Shahab Uddin
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research 20
- Oncology top 0.2%
- Cytokine Signaling Pathways and Interactions 47
- Cancer-related Molecular Pathways 21
- Immunology top 0.5%
- interferon and immune responses 20
- Molecular Biology top 0.5%
- Cell death mechanisms and regulation 29
- PI3K/AKT/mTOR signaling in cancer 26
- Ubiquitin and proteasome pathways 20
- Toxicology top 0.5%
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- Cancer Mechanisms and Therapy 23
- Co-authors
- Leonidas C. PlataniasKhawla S. Al‐KurayaEleanor N. FishFouad Al‐DayelPrashant BaviSaid DermimeMaqbool AhmedBeata Majchrzak
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Journal of Biological Chemistry (22 papers)Seminars in Cancer Biology (15 papers)Cancer Research (14 papers)
- Partner nations
- QatarUnited StatesSaudi Arabia
In The Last Decade
Shahab Uddin
363 papers receiving 14.9k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Cancer Research 2.8k
- Oncology 5.0k
- Immunology 3.5k
- Molecular Biology 7.9k
- Toxicology 309
Countries citing papers authored by Shahab Uddin
This map shows the geographic impact of Shahab Uddin'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 Shahab Uddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahab Uddin more than expected).
Fields of papers citing papers by Shahab Uddin
This network shows the impact of papers produced by Shahab Uddin. 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 Shahab Uddin. The network helps show where Shahab Uddin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shahab Uddin, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 55 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 6 | |
| 14 | Incidence of HBV, HCV and HIV among blood donors from Peshawar KPK, Pakistan | 2017 | 4 |
| 15 | 2010 | 40 | |
| 16 | 2009 | 13 | |
| 17 | 2008 | 66 | |
| 18 | 2008 | 95 | |
| 19 | 2007 | 117 | |
| 20 | 1998 | 29 |
About Shahab Uddin
Shahab Uddin is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 385 papers that have together received 15.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (47 papers), Cell death mechanisms and regulation (29 papers), PI3K/AKT/mTOR signaling in cancer (26 papers), Cancer Mechanisms and Therapy (23 papers), Cancer-related Molecular Pathways (21 papers), interferon and immune responses (20 papers), Ubiquitin and proteasome pathways (20 papers) and Cancer-related molecular mechanisms research (20 papers). The work is most often cited by research in Cancer Research (2.8k citations), Oncology (5.0k citations) and Immunology (3.5k citations). Shahab Uddin has collaborated with scholars based in Qatar, United States and Saudi Arabia. Frequent co-authors include Leonidas C. Platanias, Khawla S. Al‐Kuraya, Eleanor N. Fish, Fouad Al‐Dayel, Prashant Bavi, Said Dermime, Maqbool Ahmed, Beata Majchrzak, Mohammad Haris and Ajaz A. Bhat. Their work appears in journals such as Journal of Biological Chemistry, Seminars in Cancer Biology, Cancer Research, Blood and Biomedicine & Pharmacotherapy.
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.