Susheela Dhut
- Molecular Biology top 10%
- Cell Biology top 5%
- Hematology top 5%
- Plant Science top 10%
- Oncology
- Co-authors
- Takashi TodaMasamitsu SatoMasahiko HibiFrançois-Xavier ClaretMichael KarinReiko SugiuraTakayoshi KunoBD Young
- Topics
- Fungal and yeast genetics research (9 papers)Chronic Myeloid Leukemia Treatments (8 papers)Chronic Lymphocytic Leukemia Research (6 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Susheela Dhut
30 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 1.3k
- Cell Biology 413
- Hematology 231
- Plant Science 218
- Oncology 184
Countries citing papers authored by Susheela Dhut
This map shows the geographic impact of Susheela Dhut'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 Susheela Dhut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susheela Dhut more than expected).
Fields of papers citing papers by Susheela Dhut
This network shows the impact of papers produced by Susheela Dhut. 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 Susheela Dhut. The network helps show where Susheela Dhut may publish in the future.
Co-authorship network of co-authors of Susheela Dhut
This figure shows the co-authorship network connecting the top 25 collaborators of Susheela Dhut. A scholar is included among the top collaborators of Susheela Dhut 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 Susheela Dhut. Susheela Dhut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 12 | |
| 3 | 22 | |
| 4 | 50 | |
| 5 | 218 | |
| 6 | 30 | |
| 7 | 14 | |
| 8 | 80 | |
| 9 | 77 | |
| 10 | 402 | |
| 11 | Detection and significance of bcr-abl mRNA transcripts and fusion proteins in Philadelphia-positive adult acute lymphoblastic leukemia. | 31 |
| 12 | 28 | |
| 13 | 37 | |
| 14 | Establishment of a lymphoblastoid cell line, SD-1, expressing the p190 bcr-abl chimaeric protein. | 15 |
| 15 | 15 | |
| 16 | Normal c-abl gene protein--a nuclear component. | 14 |
| 17 | 15 | |
| 18 | Identification of two normal bcr gene products in the cytoplasm. | 20 |
| 19 | 87 | |
| 20 | 1 |
About Susheela Dhut
Susheela Dhut is a scholar working on Aging, Hematology and Genetics, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Chronic Lymphocytic Leukemia Research (6 papers). The work is most often cited by research in Cell Biology (413 citations), Hematology (231 citations) and Molecular Biology (1.3k citations). Susheela Dhut has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Takashi Toda, Masamitsu Sato, Masahiko Hibi, François-Xavier Claret, Michael Karin, Reiko Sugiura, Takayoshi Kuno, BD Young, Tracy Chaplin and Takashi Toda. Their work appears in journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.
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.