Niraj Shah
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Genomics, phytochemicals, and oxidative stress
- Glutathione Transferases and Polymorphisms
- Circular RNAs in diseases
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
Papers in
-
- Genomics, phytochemicals, and oxidative stress 3
- Circular RNAs in diseases 2
- Metabolomics and Mass Spectrometry Studies 1
-
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 1
- Co-authors
- Stuart A. Rushworth (3 shared papers)David J. MacEwan (3 shared papers)Kristian M. Bowles (3 shared papers)Lyubov Zaitseva (2 shared papers)Megan Y. Murray (2 shared papers)Gary J. Bassell (1 shared paper)Stephanie Zimmer (1 shared paper)Daniel Hawkins (1 shared paper)
- Journals
- Blood (1 paper)Cell Reports (1 paper)Cell Death and Differentiation (1 paper)Oncotarget (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Niraj Shah
6 papers receiving 423 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 116
- Molecular Biology 315
- Hematology 24
- Immunology 38
- Biological Psychiatry 4
Countries citing papers authored by Niraj Shah
This map shows the geographic impact of Niraj Shah'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 Niraj Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niraj Shah more than expected).
Fields of papers citing papers by Niraj Shah
This network shows the impact of papers produced by Niraj Shah. 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 Niraj Shah. The network helps show where Niraj Shah may publish in the future.
Co-authors
The 12 scholars most cited alongside Niraj Shah, 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 | 2012 | 250 | |
| 2 | 2014 | 55 | |
| 3 | 2013 | 51 | |
| 4 | 2017 | 46 | |
| 5 | 2021 | 25 | |
| 6 | 2024 | 1 |
About Niraj Shah
Niraj Shah is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Artificial Intelligence and Biophysics, having authored 6 papers that have together received 428 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (1 paper), Spectroscopy Techniques in Biomedical and Chemical Research (1 paper), Lipid metabolism and biosynthesis (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Cancer Research (116 citations), Molecular Biology (315 citations), Hematology (24 citations), Immunology (38 citations) and Biological Psychiatry (4 citations). Niraj Shah has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Stuart A. Rushworth, David J. MacEwan, Kristian M. Bowles, Lyubov Zaitseva, Megan Y. Murray, Gary J. Bassell, Stephanie Zimmer, Daniel Hawkins, Bart R. Anderson and Arielle N. Valdez‐Sinon. Their work appears in journals such as Blood, Cell Reports, Cell Death and Differentiation, Oncotarget 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.