Mona Anand
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 13
- Chronic Myeloid Leukemia Treatments 8
- Acute Myeloid Leukemia Research 5
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- Wnt/β-catenin signaling in development and cancer 5
- Cancer-related gene regulation 4
- Co-authors
- Pascal Gélébart (13 shared papers)Raymond Lai (13 shared papers)Jennifer Dien Bard (3 shared papers)Zoulika Zak (4 shared papers)Hesham M. Amin (3 shared papers)Rajive Kumar (17 shared papers)Jane F. Apperley (3 shared papers)John M. Goldman (3 shared papers)
- Journals
- Blood (4 papers)Leukemia (3 papers)American Journal of Hematology (2 papers)Cellular Signalling (2 papers)Annals of Hematology (2 papers)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Mona Anand
41 papers receiving 880 citations
Peers
Comparison fields: 5 of 80
- Hematology 265
- Genetics 227
- Pathology and Forensic Medicine 169
- Rheumatology 131
- Immunology 161
Countries citing papers authored by Mona Anand
This map shows the geographic impact of Mona Anand'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 Mona Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Anand more than expected).
Fields of papers citing papers by Mona Anand
This network shows the impact of papers produced by Mona Anand. 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 Mona Anand. The network helps show where Mona Anand may publish in the future.
Co-authors
The 25 scholars most cited alongside Mona Anand, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 119 | |
| 2 | 2008 | 71 | |
| 3 | 2007 | 68 | |
| 4 | 2008 | 63 | |
| 5 | 2012 | 48 | |
| 6 | 2009 | 45 | |
| 7 | 2010 | 45 | |
| 8 | 2009 | 36 | |
| 9 | 2011 | 36 | |
| 10 | 2012 | 33 | |
| 11 | 2002 | 30 | |
| 12 | 1981 | 29 | |
| 13 | 2011 | 23 | |
| 14 | Biological and clinical significance of GSK-3beta in mantle cell lymphoma--an immunohistochemical study. | 2010 | 23 |
| 15 | 2016 | 21 | |
| 16 | 2003 | 21 | |
| 17 | 2010 | 19 | |
| 18 | 2004 | 18 | |
| 19 | 2003 | 17 | |
| 20 | 2004 | 13 |
About Mona Anand
Mona Anand is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 41 papers that have together received 904 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (8 papers), Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Acute Myeloid Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Cancer-related gene regulation (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (265 citations), Genetics (227 citations), Pathology and Forensic Medicine (169 citations), Rheumatology (131 citations) and Immunology (161 citations). Mona Anand has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Pascal Gélébart, Raymond Lai, Jennifer Dien Bard, Zoulika Zak, Hesham M. Amin, Rajive Kumar, Jane F. Apperley, John M. Goldman, Paresh Jain and Jaspal Kaeda. Their work appears in journals such as Blood, Leukemia, American Journal of Hematology, Cellular Signalling and Annals of Hematology.
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.