Deepali Pal
Impact in
- Aging top 10%
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Acute Myeloid Leukemia Research 7
- Hematopoietic Stem Cell Transplantation 3
- Oncology 10
- CAR-T cell therapy research 4
- Cancer Cells and Metastasis 4
- Co-authors
- Mahendar Porika (1 shared paper)Rafal Czapiewski (1 shared paper)Gabriele Christine Saretzki (1 shared paper)Glyn Nelson (1 shared paper)Olaf T Heidenreich (8 shared papers)Hermann Josef Vormoor (5 shared papers)Alex Elder (4 shared papers)Ana Marina Ferreira (2 shared papers)
- Journals
- Leukemia (3 papers)Cancer Cell (3 papers)Blood (2 papers)PLoS ONE (2 papers)F1000Research (2 papers)
- Partner nations
- United KingdomNetherlandsGermany
In The Last Decade
Deepali Pal
28 papers receiving 732 citations
Peers
Comparison fields: 5 of 79
- Aging 30
- Hematology 181
- Oncology 155
- Genetics 54
- Molecular Biology 352
Countries citing papers authored by Deepali Pal
This map shows the geographic impact of Deepali Pal'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 Deepali Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepali Pal more than expected).
Fields of papers citing papers by Deepali Pal
This network shows the impact of papers produced by Deepali Pal. 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 Deepali Pal. The network helps show where Deepali Pal may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepali Pal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 165 | |
| 2 | 2018 | 93 | |
| 3 | 2013 | 68 | |
| 4 | 2022 | 45 | |
| 5 | 2016 | 41 | |
| 6 | 2019 | 34 | |
| 7 | 2023 | 34 | |
| 8 | 2018 | 33 | |
| 9 | 2018 | 29 | |
| 10 | 2017 | 29 | |
| 11 | 2020 | 21 | |
| 12 | 2017 | 18 | |
| 13 | 2016 | 14 | |
| 14 | 2012 | 13 | |
| 15 | 2001 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2013 | 10 | |
| 20 | 2016 | 10 |
About Deepali Pal
Deepali Pal is a scholar working on Hematology, Oncology, Genetics, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 28 papers that have together received 742 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (7 papers), Acute Myeloid Leukemia Research (7 papers), CAR-T cell therapy research (4 papers), Cancer Cells and Metastasis (4 papers), 3D Printing in Biomedical Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Mesenchymal stem cell research (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Aging (30 citations), Hematology (181 citations), Oncology (155 citations), Genetics (54 citations) and Molecular Biology (352 citations). Deepali Pal has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Mahendar Porika, Rafal Czapiewski, Gabriele Christine Saretzki, Glyn Nelson, Olaf T Heidenreich, Hermann Josef Vormoor, Alex Elder, Ana Marina Ferreira, Stuart C. Williamson and Rakesh Heer. Their work appears in journals such as Leukemia, Cancer Cell, Blood, PLoS ONE and F1000Research.
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.