R J Jaju
- Hematology top 2%
- Molecular Biology
- Genetics top 10%
- Genetics
- Immunology
- Co-authors
- Robert E. KearneyJacqueline BoultwoodJames S. WainscoatCarrie FidlerFiona WatkinsSabrina TosiArek KasprzykJan‐Fang Cheng
- Topics
- Acute Myeloid Leukemia Research (7 papers)Genomic variations and chromosomal abnormalities (6 papers)Chronic Lymphocytic Leukemia Research (3 papers)
- Cited by
- HematologyGeneticsMolecular Biology
- Journals
- BloodCarcinogenesisCancer Letters
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
R J Jaju
22 papers receiving 743 citations
Peers
Comparison fields: 5 of 53
- Hematology 410
- Molecular Biology 385
- Genetics 133
- Genetics 120
- Immunology 105
Countries citing papers authored by R J Jaju
This map shows the geographic impact of R J Jaju'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 R J Jaju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R J Jaju more than expected).
Fields of papers citing papers by R J Jaju
This network shows the impact of papers produced by R J Jaju. 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 R J Jaju. The network helps show where R J Jaju may publish in the future.
Co-authorship network of co-authors of R J Jaju
This figure shows the co-authorship network connecting the top 25 collaborators of R J Jaju. A scholar is included among the top collaborators of R J Jaju based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R J Jaju. R J Jaju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 69 | |
| 3 | Novel translocations that disrupt the platelet-derived growth factor receptor beta (PDGFRB) gene in BCR-ABL negative chronic myeloproliferative disorders. | 1 |
| 4 | 180 | |
| 5 | 199 | |
| 6 | A novel gene is fused to NUP98 in the t(5;11)(q35;p15.5) in de novo childhood AML. | 2 |
| 7 | 33 | |
| 8 | 15 | |
| 9 | 26 | |
| 10 | 41 | |
| 11 | A new recurrent translocation, t(5;11)(q35;p15.5), associated with del(5q) in childhood AML. | 2 |
| 12 | 66 | |
| 13 | Protection from pan masala induced genomic damage by beta-carotene and retinoic acid--an in vitro experience. | 4 |
| 14 | 18 | |
| 15 | Narrowing the critical deleted region in the 5q-syndrome. | 1 |
| 16 | Elevated mutagen susceptibility in cultured lymphocytes of oral cancer patients. | 2 |
| 17 | 12 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 18 |
About R J Jaju
R J Jaju is a scholar working on Hematology, Genetics and Genetics, having authored 22 papers that have together received 762 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Genomic variations and chromosomal abnormalities (6 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (410 citations), Genetics (133 citations) and Molecular Biology (385 citations). R J Jaju has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Robert E. Kearney, Jacqueline Boultwood, James S. Wainscoat, Carrie Fidler, Fiona Watkins, Sabrina Tosi, Arek Kasprzyk, Jan‐Fang Cheng, Ulrich Müller and Markus Kostrzewa. Their work appears in journals such as Blood, Carcinogenesis and Cancer Letters.
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.