Danai Dima
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 40
- Multiple Myeloma Research and Treatments 31
- Acute Myeloid Leukemia Research 5
- Oncology 35
- CAR-T cell therapy research 24
- Co-authors
- Fauzia Ullah (21 shared papers)Jack Khouri (38 shared papers)Faiz Anwer (31 shared papers)Shahzad Raza (25 shared papers)Jason Valent (19 shared papers)Joshua Dower (5 shared papers)Raymond L. Comenzo (3 shared papers)Hamza Hashmi (18 shared papers)
- Journals
- Blood (16 papers)Transplantation and Cellular Therapy (10 papers)Cancers (6 papers)Journal of Clinical Oncology (4 papers)Blood Cancer Journal (3 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Danai Dima
65 papers receiving 466 citations
Peers
Comparison fields: 5 of 61
- Hematology 187
- Oncology 223
- Genetics 35
- Pathology and Forensic Medicine 45
- Nephrology 18
Countries citing papers authored by Danai Dima
This map shows the geographic impact of Danai Dima'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 Danai Dima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danai Dima more than expected).
Fields of papers citing papers by Danai Dima
This network shows the impact of papers produced by Danai Dima. 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 Danai Dima. The network helps show where Danai Dima may publish in the future.
Co-authors
The 25 scholars most cited alongside Danai Dima, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 42 | |
| 2 | 2023 | 42 | |
| 3 | 2022 | 38 | |
| 4 | 2020 | 32 | |
| 5 | 2023 | 28 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 23 | |
| 8 | 2024 | 20 | |
| 9 | 2023 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2024 | 7 |
About Danai Dima
Danai Dima is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 72 papers that have together received 470 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (31 papers), CAR-T cell therapy research (24 papers), Chronic Lymphocytic Leukemia Research (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Protein Degradation and Inhibitors (8 papers), Acute Myeloid Leukemia Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Hematology (187 citations), Oncology (223 citations), Genetics (35 citations), Pathology and Forensic Medicine (45 citations) and Nephrology (18 citations). Danai Dima has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Fauzia Ullah, Jack Khouri, Faiz Anwer, Shahzad Raza, Jason Valent, Joshua Dower, Raymond L. Comenzo, Hamza Hashmi, Cindy Varga and Al‐Ola Abdallah. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Cancers, Journal of Clinical Oncology and Blood Cancer 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.