Arghya Ray
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 48
- Multiple Myeloma Research and Treatments 32
- Chronic Myeloid Leukemia Treatments 15
-
- Protein Degradation and Inhibitors 20
- Ubiquitin and proteasome pathways 18
- Histone Deacetylase Inhibitors Research 8
- Co-authors
- Bengt Nordén (2 shared papers)James D. Griffin (16 shared papers)Dharminder Chauhan (48 shared papers)Ellen Weisberg (12 shared papers)Kenneth C. Anderson (47 shared papers)Paul W. Manley (7 shared papers)Sandra W. Cowan‐Jacob (3 shared papers)Yan Song (38 shared papers)
- Journals
- Blood (37 papers)Leukemia (9 papers)Journal of Clinical Oncology (3 papers)Biochemistry (3 papers)Molecular Cancer Therapeutics (3 papers)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Arghya Ray
75 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 104
- Hematology 999
- Genetics 464
- Molecular Biology 1.7k
- Oncology 607
- Rheumatology 222
Countries citing papers authored by Arghya Ray
This map shows the geographic impact of Arghya Ray'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 Arghya Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arghya Ray more than expected).
Fields of papers citing papers by Arghya Ray
This network shows the impact of papers produced by Arghya Ray. 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 Arghya Ray. The network helps show where Arghya Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Arghya Ray, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 368 | |
| 2 | 2000 | 333 | |
| 3 | 2013 | 267 | |
| 4 | 2001 | 179 | |
| 5 | 2007 | 100 | |
| 6 | 2003 | 99 | |
| 7 | 2011 | 82 | |
| 8 | 2013 | 81 | |
| 9 | 2006 | 79 | |
| 10 | 2017 | 78 | |
| 11 | 2010 | 76 | |
| 12 | 2010 | 76 | |
| 13 | 2006 | 75 | |
| 14 | 2016 | 68 | |
| 15 | 2007 | 66 | |
| 16 | 2008 | 65 | |
| 17 | 2016 | 64 | |
| 18 | 2008 | 60 | |
| 19 | 1999 | 57 | |
| 20 | 2011 | 55 |
About Arghya Ray
Arghya Ray is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Immunology, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (32 papers), Protein Degradation and Inhibitors (20 papers), Ubiquitin and proteasome pathways (18 papers), Chronic Myeloid Leukemia Treatments (15 papers), Chronic Lymphocytic Leukemia Research (13 papers), Immunotherapy and Immune Responses (11 papers), Peptidase Inhibition and Analysis (9 papers) and Histone Deacetylase Inhibitors Research (8 papers). The work is most often cited by research in Hematology (999 citations), Genetics (464 citations), Molecular Biology (1.7k citations), Oncology (607 citations) and Rheumatology (222 citations). Arghya Ray has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Bengt Nordén, James D. Griffin, Dharminder Chauhan, Ellen Weisberg, Kenneth C. Anderson, Paul W. Manley, Sandra W. Cowan‐Jacob, Yan Song, J. Mestan and Paul G. Richardson. Their work appears in journals such as Blood, Leukemia, Journal of Clinical Oncology, Biochemistry and Molecular Cancer Therapeutics.
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.