Dinara Makenbaeva
- Internal Medicine top 5%
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments 19
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- Atrial Fibrillation Management and Outcomes 19
- Antiplatelet Therapy and Cardiovascular Diseases 7
- Acute Myocardial Infarction Research 5
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 14
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- Health Systems, Economic Evaluations, Quality of Life 12
- Pharmaceutical Economics and Policy 6
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- Acute Lymphoblastic Leukemia research 6
- Co-authors
- Jay LinDaniel WiederkehrYonghua JingAlpesh AminJohn GrahamSteve DeitelzweigMelissa Lingohr-SmithElias Jabbour
- Journals
- Journal of Clinical Oncology (3 papers)Blood (5 papers)Journal of the American College of Cardiology (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Dinara Makenbaeva
43 papers receiving 596 citations
Peers
Comparison fields: 5 of 61
- Internal Medicine 134
- Hematology 233
- Cardiology and Cardiovascular Medicine 326
- Genetics 106
- Oncology 96
Countries citing papers authored by Dinara Makenbaeva
This map shows the geographic impact of Dinara Makenbaeva'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 Dinara Makenbaeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinara Makenbaeva more than expected).
Fields of papers citing papers by Dinara Makenbaeva
This network shows the impact of papers produced by Dinara Makenbaeva. 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 Dinara Makenbaeva. The network helps show where Dinara Makenbaeva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dinara Makenbaeva, 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 | 2018 | 2 | |
| 2 | 2018 | 6 | |
| 3 | 2017 | 23 | |
| 4 | 2017 | 6 | |
| 5 | 2017 | 1 | |
| 6 | 2016 | 4 | |
| 7 | 2015 | 12 | |
| 8 | 2015 | 39 | |
| 9 | 2015 | 2 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 11 | |
| 12 | 2014 | 2 | |
| 13 | 2014 | 7 | |
| 14 | 2014 | 53 | |
| 15 | 2014 | 1 | |
| 16 | 2013 | 17 | |
| 17 | 2012 | 2 | |
| 18 | 2011 | 7 | |
| 19 | 2010 | 4 | |
| 20 | 2010 | 41 |
About Dinara Makenbaeva
Dinara Makenbaeva is a scholar working on Hematology, Genetics and Internal Medicine, having authored 46 papers that have together received 606 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (19 papers), Chronic Myeloid Leukemia Treatments (19 papers), Chronic Lymphocytic Leukemia Research (14 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Pharmaceutical Economics and Policy (6 papers) and Acute Myocardial Infarction Research (5 papers). The work is most often cited by research in Internal Medicine (134 citations), Hematology (233 citations) and Cardiology and Cardiovascular Medicine (326 citations). Dinara Makenbaeva has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Jay Lin, Daniel Wiederkehr, Yonghua Jing, Alpesh Amin, John Graham, Steve Deitelzweig, Melissa Lingohr-Smith, Elias Jabbour, Essy Mozaffari and James Signorovitch. Their work appears in journals such as Journal of Clinical Oncology, Blood and Journal of the American College of Cardiology.
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.