Deepak Bararia
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Chronic Lymphocytic Leukemia Research
Papers in
-
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
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- Acute Myeloid Leukemia Research 5
- Co-authors
- Daniel G. Tenen (7 shared papers)Robert S. Welner (6 shared papers)Henry Yang (3 shared papers)Wolfgang Hiddemann (6 shared papers)Gerhard Behre (3 shared papers)Arun Kumar Trivedi (3 shared papers)Elena Levantini (3 shared papers)Sukla Biswas (1 shared paper)
- Journals
- Blood (6 papers)Nature Communications (2 papers)Leukemia (2 papers)Clinical & Translational Oncology (1 paper)Cancer Cell (1 paper)
- Partner nations
- GermanyUnited StatesSingapore
In The Last Decade
Deepak Bararia
16 papers receiving 441 citations
Peers
Comparison fields: 5 of 56
- Hematology 146
- Genetics 53
- Immunology 84
- Public Health, Environmental and Occupational Health 99
- Molecular Biology 206
Countries citing papers authored by Deepak Bararia
This map shows the geographic impact of Deepak Bararia'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 Deepak Bararia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Bararia more than expected).
Fields of papers citing papers by Deepak Bararia
This network shows the impact of papers produced by Deepak Bararia. 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 Deepak Bararia. The network helps show where Deepak Bararia may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Bararia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 97 | |
| 2 | 2004 | 87 | |
| 3 | 2006 | 44 | |
| 4 | 2016 | 40 | |
| 5 | 2008 | 35 | |
| 6 | 2013 | 30 | |
| 7 | 2016 | 30 | |
| 8 | 2006 | 23 | |
| 9 | 2018 | 21 | |
| 10 | 2023 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 5 | |
| 13 | 2015 | 3 | |
| 14 | 2015 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2021 | 0 |
About Deepak Bararia
Deepak Bararia is a scholar working on Molecular Biology, Hematology, Pathology and Forensic Medicine, Immunology and Oncology, having authored 17 papers that have together received 446 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Protein Degradation and Inhibitors (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Epigenetics and DNA Methylation (3 papers), Immune Cell Function and Interaction (3 papers), Genomics and Chromatin Dynamics (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (146 citations), Genetics (53 citations), Immunology (84 citations), Public Health, Environmental and Occupational Health (99 citations) and Molecular Biology (206 citations). Deepak Bararia has collaborated with scholars based in Germany, United States and Singapore. Frequent co-authors include Daniel G. Tenen, Robert S. Welner, Henry Yang, Wolfgang Hiddemann, Gerhard Behre, Arun Kumar Trivedi, Elena Levantini, Sukla Biswas, Ashwani Kumar and Akos Czibere. Their work appears in journals such as Blood, Nature Communications, Leukemia, Clinical & Translational Oncology and Cancer Cell.
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.