Rakesh Bam
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Hippo pathway signaling and YAP/TAZ
- Endoplasmic Reticulum Stress and Disease
Papers in
- Hematology 10
- Multiple Myeloma Research and Treatments 9
- Acute Myeloid Leukemia Research 2
- Oncology 8
- Bone health and treatments 2
- Co-authors
- Nitin Raj (1 shared paper)Shmuel Yaccoby (12 shared papers)Wen Ling (11 shared papers)Bart Barlogie (10 shared papers)Sharmin Khan (10 shared papers)Joshua Epstein (6 shared papers)Frits van Rhee (5 shared papers)Sathisha Upparahalli Venkateshaiah (8 shared papers)
- Journals
- Blood (7 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Investigative Radiology (1 paper)Blood Cancer Journal (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Rakesh Bam
24 papers receiving 414 citations
Peers
Comparison fields: 5 of 67
- Hematology 79
- Cell Biology 71
- Oncology 99
- Geriatrics and Gerontology 10
- Genetics 30
Countries citing papers authored by Rakesh Bam
This map shows the geographic impact of Rakesh Bam'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 Rakesh Bam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Bam more than expected).
Fields of papers citing papers by Rakesh Bam
This network shows the impact of papers produced by Rakesh Bam. 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 Rakesh Bam. The network helps show where Rakesh Bam may publish in the future.
Co-authors
The 25 scholars most cited alongside Rakesh Bam, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 68 | |
| 2 | 2013 | 47 | |
| 3 | 2013 | 45 | |
| 4 | 2019 | 37 | |
| 5 | 2020 | 31 | |
| 6 | 2016 | 29 | |
| 7 | 2024 | 23 | |
| 8 | 2020 | 22 | |
| 9 | 2014 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2015 | 14 | |
| 12 | 2020 | 12 | |
| 13 | 2014 | 9 | |
| 14 | 2013 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2010 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2011 | 2 | |
| 20 | 2018 | 2 |
About Rakesh Bam
Rakesh Bam is a scholar working on Hematology, Oncology, Biomedical Engineering, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 415 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Ultrasound and Hyperthermia Applications (7 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Ultrasound Imaging and Elastography (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Glycosylation and Glycoproteins Research (2 papers), Acute Myeloid Leukemia Research (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Hematology (79 citations), Cell Biology (71 citations), Oncology (99 citations), Geriatrics and Gerontology (10 citations) and Genetics (30 citations). Rakesh Bam has collaborated with scholars based in United States and Japan. Frequent co-authors include Nitin Raj, Shmuel Yaccoby, Wen Ling, Bart Barlogie, Sharmin Khan, Joshua Epstein, Frits van Rhee, Sathisha Upparahalli Venkateshaiah, Ramasamy Paulmurugan and Xin Li. Their work appears in journals such as Blood, Scientific Reports, Nature Communications, Investigative Radiology 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.