Moosa Patel
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
- Polyomavirus and related diseases
- Global Cancer Incidence and Screening
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 29
- Viral-associated cancers and disorders 25
- Global Cancer Incidence and Screening 3
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- Lymphoma Diagnosis and Treatment 22
- Co-authors
- Paul Ruff (13 shared papers)Freddy Sitas (11 shared papers)Martin Hale (11 shared papers)Valerie Beral (6 shared papers)Robert Newton (6 shared papers)Ute Jentsch (2 shared papers)Rosana Pacella (2 shared papers)Henri Carrara (3 shared papers)
- Journals
- International Journal of Cancer (2 papers)British Journal of Cancer (2 papers)Histopathology (1 paper)Leukemia Research (1 paper)JCO Global Oncology (1 paper)
- Partner nations
- South AfricaUnited StatesUnited Kingdom
In The Last Decade
Moosa Patel
44 papers receiving 830 citations
Peers
Comparison fields: 5 of 89
- Oncology 563
- Pathology and Forensic Medicine 213
- Epidemiology 337
- Infectious Diseases 175
- Genetics 86
Countries citing papers authored by Moosa Patel
This map shows the geographic impact of Moosa Patel'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 Moosa Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moosa Patel more than expected).
Fields of papers citing papers by Moosa Patel
This network shows the impact of papers produced by Moosa Patel. 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 Moosa Patel. The network helps show where Moosa Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Moosa Patel, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 207 | |
| 2 | 2000 | 132 | |
| 3 | 2008 | 121 | |
| 4 | 2007 | 46 | |
| 5 | 2008 | 34 | |
| 6 | 2011 | 25 | |
| 7 | 2019 | 24 | |
| 8 | 2014 | 24 | |
| 9 | 2015 | 19 | |
| 10 | 2006 | 19 | |
| 11 | 2012 | 14 | |
| 12 | 2010 | 14 | |
| 13 | 2014 | 13 | |
| 14 | 2003 | 12 | |
| 15 | 2014 | 12 | |
| 16 | 2004 | 11 | |
| 17 | 2002 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2002 | 9 | |
| 20 | 2016 | 9 |
About Moosa Patel
Moosa Patel is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Hematology and Epidemiology, having authored 46 papers that have together received 850 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (25 papers), Lymphoma Diagnosis and Treatment (22 papers), Chronic Lymphocytic Leukemia Research (9 papers), Cytomegalovirus and herpesvirus research (5 papers), Parvovirus B19 Infection Studies (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Radiation Dose and Imaging (3 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Oncology (563 citations), Pathology and Forensic Medicine (213 citations), Epidemiology (337 citations), Infectious Diseases (175 citations) and Genetics (86 citations). Moosa Patel has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Paul Ruff, Freddy Sitas, Martin Hale, Valerie Beral, Robert Newton, Ute Jentsch, Rosana Pacella, Henri Carrara, Diana Bull and Margaret Urban. Their work appears in journals such as International Journal of Cancer, British Journal of Cancer, Histopathology, Leukemia Research and JCO Global Oncology.
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.