David Malaka
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Global Cancer Incidence and Screening
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- HER2/EGFR in Cancer Research
Papers in
- Oncology 5
- HER2/EGFR in Cancer Research 2
- Peptidase Inhibition and Analysis 1
- Cancer Cells and Metastasis 1
- Co-authors
- Olufunmilayo I. Olopade (5 shared papers)Andrey Khramtsov (3 shared papers)Dezheng Huo (4 shared papers)Adeyinka G. Falusi (3 shared papers)Abayomi Odetunde (3 shared papers)Rita Nanda (2 shared papers)Charles M. Perou (2 shared papers)Jean-Marie Dangou (2 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Integrative Cancer Therapies (1 paper)Breast Cancer Research and Treatment (1 paper)Annals of Diagnostic Pathology (1 paper)UNC Libraries (1 paper)
- Partner nations
- United StatesNigeriaZambia
In The Last Decade
David Malaka
6 papers receiving 519 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 228
- Oncology 344
- Immunology 159
- Genetics 84
- Pathology and Forensic Medicine 43
Countries citing papers authored by David Malaka
This map shows the geographic impact of David Malaka'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 David Malaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Malaka more than expected).
Fields of papers citing papers by David Malaka
This network shows the impact of papers produced by David Malaka. 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 David Malaka. The network helps show where David Malaka may publish in the future.
Co-authors
The 25 scholars most cited alongside David Malaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 287 | |
| 2 | 2010 | 218 | |
| 3 | Comparative Effectiveness and Safety of Oral Diabetes Medications for Adults With Type 2 Diabetes | 2007 | 23 |
| 4 | 2013 | 4 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 1 |
About David Malaka
David Malaka is a scholar working on Oncology, Molecular Biology, Epidemiology, Artificial Intelligence and Pharmacy, having authored 6 papers that have together received 537 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (2 papers), Peptidase Inhibition and Analysis (1 paper), Oral and gingival health research (1 paper), Cancer Genomics and Diagnostics (1 paper), Breast Cancer Treatment Studies (1 paper), Diabetes Treatment and Management (1 paper), Cancer Cells and Metastasis (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Cancer Research (228 citations), Oncology (344 citations), Immunology (159 citations), Genetics (84 citations) and Pathology and Forensic Medicine (43 citations). David Malaka has collaborated with scholars based in United States, Nigeria and Zambia. Frequent co-authors include Olufunmilayo I. Olopade, Andrey Khramtsov, Dezheng Huo, Adeyinka G. Falusi, Abayomi Odetunde, Rita Nanda, Charles M. Perou, Jean-Marie Dangou, Olayiwola Oluwasola and Festus Iyare. Their work appears in journals such as Journal of Clinical Oncology, Integrative Cancer Therapies, Breast Cancer Research and Treatment, Annals of Diagnostic Pathology and UNC Libraries.
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.