Stacey Chuma
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 24
- Chronic Lymphocytic Leukemia Research 24
- Hematology 20
- Multiple Myeloma Research and Treatments 14
- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Irene M. Ghobrial (35 shared papers)Paul G. Richardson (32 shared papers)Steven P. Treon (18 shared papers)Kenneth C. Anderson (29 shared papers)Diane Warren (21 shared papers)Renee Leduc (17 shared papers)Brianna Harris (17 shared papers)Meghan Rourke (12 shared papers)
- Journals
- Blood (22 papers)Journal of Clinical Oncology (8 papers)American Journal of Hematology (2 papers)Clinical Cancer Research (2 papers)Leukemia (1 paper)
- Partner nations
- United StatesGermanyNigeria
In The Last Decade
Stacey Chuma
38 papers receiving 836 citations
Peers
Comparison fields: 5 of 46
- Genetics 579
- Pathology and Forensic Medicine 433
- Hematology 266
- Immunology 213
- Gastroenterology 32
Countries citing papers authored by Stacey Chuma
This map shows the geographic impact of Stacey Chuma'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 Stacey Chuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacey Chuma more than expected).
Fields of papers citing papers by Stacey Chuma
This network shows the impact of papers produced by Stacey Chuma. 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 Stacey Chuma. The network helps show where Stacey Chuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Stacey Chuma, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 127 | |
| 2 | 2010 | 117 | |
| 3 | 2010 | 102 | |
| 4 | 2010 | 101 | |
| 5 | 2010 | 96 | |
| 6 | 2019 | 81 | |
| 7 | 2013 | 49 | |
| 8 | 2013 | 37 | |
| 9 | 2015 | 26 | |
| 10 | 2008 | 10 | |
| 11 | 2010 | 9 | |
| 12 | 2008 | 9 | |
| 13 | 2009 | 8 | |
| 14 | 2011 | 7 | |
| 15 | 2008 | 6 | |
| 16 | 2009 | 5 | |
| 17 | 2009 | 5 | |
| 18 | 2010 | 5 | |
| 19 | 2009 | 4 | |
| 20 | 2014 | 4 |
About Stacey Chuma
Stacey Chuma is a scholar working on Genetics, Hematology, Molecular Biology, Pathology and Forensic Medicine and Infectious Diseases, having authored 38 papers that have together received 845 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (24 papers), Lymphoma Diagnosis and Treatment (14 papers), Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (10 papers), Chronic Myeloid Leukemia Treatments (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), HIV/AIDS drug development and treatment (4 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Genetics (579 citations), Pathology and Forensic Medicine (433 citations), Hematology (266 citations), Immunology (213 citations) and Gastroenterology (32 citations). Stacey Chuma has collaborated with scholars based in United States, Germany and Nigeria. Frequent co-authors include Irene M. Ghobrial, Paul G. Richardson, Steven P. Treon, Kenneth C. Anderson, Diane Warren, Renee Leduc, Brianna Harris, Meghan Rourke, Edie Weller and Janet Kunsman. Their work appears in journals such as Blood, Journal of Clinical Oncology, American Journal of Hematology, Clinical Cancer Research and Leukemia.
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.