Raj Bhayadia
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Nephrology top 10%
- Dialysis and Renal Disease Management
Papers in
- Hematology 11
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 3
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- MicroRNA in disease regulation 4
- Co-authors
- Anette Melk (4 shared papers)Meike Hömme (2 shared papers)Bernhard M. W. Schmidt (1 shared paper)Jan‐Henning Klusmann (12 shared papers)Dirk Heckl (9 shared papers)Ahmet Uçar (1 shared paper)Shashi Kumar Gupta (1 shared paper)Ingo Roland Volkmann (1 shared paper)
- Journals
- Leukemia (3 papers)Blood (3 papers)Cancer Cell (2 papers)Blood Advances (2 papers)American Journal of Physiology-Renal Physiology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Raj Bhayadia
23 papers receiving 699 citations
Peers
Comparison fields: 5 of 75
- Hematology 193
- Nephrology 80
- Cancer Research 151
- Aging 12
- Immunology 108
Countries citing papers authored by Raj Bhayadia
This map shows the geographic impact of Raj Bhayadia'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 Raj Bhayadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raj Bhayadia more than expected).
Fields of papers citing papers by Raj Bhayadia
This network shows the impact of papers produced by Raj Bhayadia. 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 Raj Bhayadia. The network helps show where Raj Bhayadia may publish in the future.
Co-authors
The 25 scholars most cited alongside Raj Bhayadia, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2019 | 105 | |
| 3 | 2018 | 81 | |
| 4 | 2014 | 69 | |
| 5 | 2018 | 62 | |
| 6 | 2024 | 58 | |
| 7 | 2019 | 30 | |
| 8 | 2022 | 29 | |
| 9 | 2021 | 27 | |
| 10 | 2019 | 25 | |
| 11 | 2023 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2018 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2015 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 3 | |
| 19 | 2020 | 1 | |
| 20 | 2023 | 1 |
About Raj Bhayadia
Raj Bhayadia is a scholar working on Hematology, Cancer Research, Molecular Biology, Oncology and Immunology, having authored 23 papers that have together received 704 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), MicroRNA in disease regulation (4 papers), CAR-T cell therapy research (3 papers), Protein Degradation and Inhibitors (3 papers), RNA Interference and Gene Delivery (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (193 citations), Nephrology (80 citations), Cancer Research (151 citations), Aging (12 citations) and Immunology (108 citations). Raj Bhayadia has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Anette Melk, Meike Hömme, Bernhard M. W. Schmidt, Jan‐Henning Klusmann, Dirk Heckl, Ahmet Uçar, Shashi Kumar Gupta, Ingo Roland Volkmann, Kamal Chowdhury and Michelle Shu Wen Ng. Their work appears in journals such as Leukemia, Blood, Cancer Cell, Blood Advances and American Journal of Physiology-Renal Physiology.
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.