Mohammad A. Noory
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Melanoma and MAPK Pathways 4
- Protein Degradation and Inhibitors 2
- Peroxisome Proliferator-Activated Receptors 1
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- Ferroptosis and cancer prognosis 1
- Co-authors
- Omer F. Kuzu (6 shared papers)Gavin P. Robertson (6 shared papers)Arati Sharma (3 shared papers)Raghavendra Gowda (4 shared papers)Mesut Toprak (1 shared paper)Joseph J. Drabick (3 shared papers)Gregory R. Kardos (2 shared papers)Saketh S. Dinavahi (2 shared papers)
- Journals
- Cancer Biology & Therapy (1 paper)Molecular Pharmacology (1 paper)British Journal of Cancer (1 paper)Cancer Letters (1 paper)Pharmacological Research (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Mohammad A. Noory
9 papers receiving 787 citations
Mohammad A. Noory's Hit Papers
Peers
Comparison fields: 5 of 78
- Cancer Research 338
- Oncology 138
- Molecular Biology 367
- Physiology 22
- Surgery 190
Countries citing papers authored by Mohammad A. Noory
This map shows the geographic impact of Mohammad A. Noory'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 Mohammad A. Noory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad A. Noory more than expected).
Fields of papers citing papers by Mohammad A. Noory
This network shows the impact of papers produced by Mohammad A. Noory. 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 Mohammad A. Noory. The network helps show where Mohammad A. Noory may publish in the future.
Co-authors
The 12 scholars most cited alongside Mohammad A. Noory, 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 | The Role of Cholesterol in Cancer Hit paper breakdown → | 2016 | 546 |
| 2 | 2015 | 81 | |
| 3 | 2016 | 66 | |
| 4 | 2017 | 53 | |
| 5 | 2017 | 18 | |
| 6 | 2017 | 10 | |
| 7 | 2017 | 10 | |
| 8 | 2018 | 6 | |
| 9 | 2020 | 1 |
About Mohammad A. Noory
Mohammad A. Noory is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Computational Theory and Mathematics, having authored 9 papers that have together received 791 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Ferroptosis and cancer prognosis (1 paper), Cancer Mechanisms and Therapy (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Cancer Research (338 citations), Oncology (138 citations), Molecular Biology (367 citations), Physiology (22 citations) and Surgery (190 citations). Mohammad A. Noory has collaborated with scholars based in United States and India. Frequent co-authors include Omer F. Kuzu, Gavin P. Robertson, Arati Sharma, Raghavendra Gowda, Mesut Toprak, Joseph J. Drabick, Gregory R. Kardos, Saketh S. Dinavahi, SubbaRao V. Madhunapantula and Rogerio I. Neves. Their work appears in journals such as Cancer Biology & Therapy, Molecular Pharmacology, British Journal of Cancer, Cancer Letters and Pharmacological Research.
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.