Sandhya Kharbanda
- Hematology top 5%
- Genetics top 5%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Cancer Research
- Co-authors
- John E. WagnerChristopher C. DvorakK. Scott BakerWinston KohLance MartinIwijn De VlaminckWandi ZhangLakshmanan Krishnamurti
- Topics
- Hematopoietic Stem Cell Transplantation (24 papers)Acute Lymphoblastic Leukemia research (12 papers)Acute Myeloid Leukemia Research (7 papers)
- Cited by
- TransplantationHematologyGenetics
- Journals
- Proceedings of the National Academy of SciencesBloodInternational Journal of Molecular Sciences
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Sandhya Kharbanda
42 papers receiving 676 citations
Peers
Comparison fields: 5 of 81
- Hematology 241
- Genetics 184
- Molecular Biology 177
- Pediatrics, Perinatology and Child Health 159
- Cancer Research 105
Countries citing papers authored by Sandhya Kharbanda
This map shows the geographic impact of Sandhya Kharbanda'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 Sandhya Kharbanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandhya Kharbanda more than expected).
Fields of papers citing papers by Sandhya Kharbanda
This network shows the impact of papers produced by Sandhya Kharbanda. 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 Sandhya Kharbanda. The network helps show where Sandhya Kharbanda may publish in the future.
Co-authorship network of co-authors of Sandhya Kharbanda
This figure shows the co-authorship network connecting the top 25 collaborators of Sandhya Kharbanda. A scholar is included among the top collaborators of Sandhya Kharbanda 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 Sandhya Kharbanda. Sandhya Kharbanda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 131 | |
| 15 | 65 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 41 | |
| 20 | 25 |
About Sandhya Kharbanda
Sandhya Kharbanda is a scholar working on Transplantation, Hematology and Genetics, having authored 48 papers that have together received 690 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (24 papers), Acute Lymphoblastic Leukemia research (12 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Transplantation (78 citations), Hematology (241 citations) and Genetics (184 citations). Sandhya Kharbanda has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include John E. Wagner, Christopher C. Dvorak, K. Scott Baker, Winston Koh, Lance Martin, Iwijn De Vlaminck, Wandi Zhang, Lakshmanan Krishnamurti, Melinda A. Biernacki and Catherine J. Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and International Journal of Molecular Sciences.
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.