Niraja Dighe
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
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- Virus-based gene therapy research
- Mesenchymal stem cell research
- Neurogenetic and Muscular Disorders Research
Papers in
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- RNA Interference and Gene Delivery 2
- CRISPR and Genetic Engineering 2
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- Hematopoietic Stem Cell Transplantation 2
- Chronic Myeloid Leukemia Treatments 1
- Acute Myeloid Leukemia Research 1
- Co-authors
- Zhiyong Poon (4 shared papers)Sudipto Bari (4 shared papers)William Ying Khee Hwang (4 shared papers)Xiubo Fan (4 shared papers)Sujoy Ghosh (2 shared papers)Alice M.S. Cheung (2 shared papers)Citra Nurfarah Zaini Mattar (3 shared papers)Mahesh Choolani (3 shared papers)
- Journals
- Leukemia (2 papers)PLoS ONE (1 paper)Molecular Therapy (1 paper)Stem Cells Translational Medicine (1 paper)Experimental Hematology (1 paper)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Niraja Dighe
7 papers receiving 160 citations
Peers
Comparison fields: 5 of 27
- Hematology 80
- Genetics 58
- Transplantation 5
- Genetics 50
- Immunology 22
Countries citing papers authored by Niraja Dighe
This map shows the geographic impact of Niraja Dighe'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 Niraja Dighe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niraja Dighe more than expected).
Fields of papers citing papers by Niraja Dighe
This network shows the impact of papers produced by Niraja Dighe. 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 Niraja Dighe. The network helps show where Niraja Dighe may publish in the future.
Co-authors
The 25 scholars most cited alongside Niraja Dighe, 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 | 2018 | 55 | |
| 2 | 2011 | 53 | |
| 3 | 2018 | 25 | |
| 4 | 2014 | 15 | |
| 5 | 2018 | 11 | |
| 6 | 2019 | 4 | |
| 7 | 2018 | 1 | |
| 8 | Oncogenesis following delivery of a nonprimate lentiviral gene therapy vector to fetal and neonatal mice (vol 12, pg 763, 2005) | 2006 | 0 |
About Niraja Dighe
Niraja Dighe is a scholar working on Molecular Biology, Hematology, Genetics, Genetics and Immunology, having authored 8 papers that have together received 164 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), RNA Interference and Gene Delivery (2 papers), Immune cells in cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Hermeneutics and Narrative Identity (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (80 citations), Genetics (58 citations), Transplantation (5 citations), Genetics (50 citations) and Immunology (22 citations). Niraja Dighe has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Zhiyong Poon, Sudipto Bari, William Ying Khee Hwang, Xiubo Fan, Sujoy Ghosh, Alice M.S. Cheung, Citra Nurfarah Zaini Mattar, Mahesh Choolani, Marcus B. Valentine and Bryan E. Ogden. Their work appears in journals such as Leukemia, PLoS ONE, Molecular Therapy, Stem Cells Translational Medicine and Experimental Hematology.
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.