Devender Dhanda
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
- Hematology 17
- Multiple Myeloma Research and Treatments 17
- Oncology 15
- CAR-T cell therapy research 10
- Cancer Treatment and Pharmacology 2
- Co-authors
- Uday B. Kompella (5 shared papers)N. Cheruvu (1 shared paper)Puneet Tyagi (1 shared paper)Sidney S. Mirvish (1 shared paper)Julia Braverman (9 shared papers)Nina Shah (8 shared papers)Timothy Campbell (7 shared papers)Nikhil C. Munshi (6 shared papers)
- Journals
- Blood (7 papers)Value in Health (5 papers)Leukemia Research (2 papers)HemaSphere (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Devender Dhanda
27 papers receiving 274 citations
Peers
Comparison fields: 5 of 58
- Pharmaceutical Science 63
- Hematology 71
- Oncology 105
- Pulmonary and Respiratory Medicine 107
- Food Science 32
Countries citing papers authored by Devender Dhanda
This map shows the geographic impact of Devender Dhanda'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 Devender Dhanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devender Dhanda more than expected).
Fields of papers citing papers by Devender Dhanda
This network shows the impact of papers produced by Devender Dhanda. 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 Devender Dhanda. The network helps show where Devender Dhanda may publish in the future.
Co-authors
The 25 scholars most cited alongside Devender Dhanda, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 61 | |
| 2 | 2013 | 43 | |
| 3 | 2021 | 36 | |
| 4 | 2024 | 17 | |
| 5 | 2005 | 15 | |
| 6 | 2020 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2005 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 2 |
About Devender Dhanda
Devender Dhanda is a scholar working on Hematology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 33 papers that have together received 281 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), CAR-T cell therapy research (10 papers), Protein Degradation and Inhibitors (6 papers), Inhalation and Respiratory Drug Delivery (5 papers), Cancer Treatment and Pharmacology (2 papers), Drug Solubulity and Delivery Systems (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Pharmaceutical Science (63 citations), Hematology (71 citations), Oncology (105 citations), Pulmonary and Respiratory Medicine (107 citations) and Food Science (32 citations). Devender Dhanda has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Uday B. Kompella, N. Cheruvu, Puneet Tyagi, Sidney S. Mirvish, Julia Braverman, Nina Shah, Timothy Campbell, Nikhil C. Munshi, Michel Delforge and Jesús F. San Miguel. Their work appears in journals such as Blood, Value in Health, Leukemia Research, HemaSphere and PLoS ONE.
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.