Michael Ditiatkovski
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Atherosclerosis and Cardiovascular Diseases
- Immune cells in cancer
Papers in
- Surgery 7
- Cholesterol and Lipid Metabolism 6
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- Peroxisome Proliferator-Activated Receptors 3
- Signaling Pathways in Disease 2
- Extracellular vesicles in disease 2
- Co-authors
- Dmitri Sviridov (10 shared papers)Alex Bobik (2 shared papers)Ban‐Hock Toh (2 shared papers)Nigora Mukhamedova (7 shared papers)A. Bobik (1 shared paper)Peter Kanellakis (1 shared paper)Michael Bukrinsky (7 shared papers)Ying Fu (5 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Cell Metabolism (1 paper)PLoS Pathogens (1 paper)Atherosclerosis Supplements (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Michael Ditiatkovski
14 papers receiving 469 citations
Peers
Comparison fields: 5 of 62
- Virology 78
- Immunology 160
- Emergency Medicine 57
- Cancer Research 47
- Infectious Diseases 56
Countries citing papers authored by Michael Ditiatkovski
This map shows the geographic impact of Michael Ditiatkovski'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 Michael Ditiatkovski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ditiatkovski more than expected).
Fields of papers citing papers by Michael Ditiatkovski
This network shows the impact of papers produced by Michael Ditiatkovski. 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 Michael Ditiatkovski. The network helps show where Michael Ditiatkovski may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Ditiatkovski, 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 | 2019 | 95 | |
| 2 | 2012 | 75 | |
| 3 | 2006 | 65 | |
| 4 | 2013 | 45 | |
| 5 | 2016 | 44 | |
| 6 | 2014 | 44 | |
| 7 | 2013 | 28 | |
| 8 | 2020 | 22 | |
| 9 | 2017 | 18 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2015 | 5 | |
| 13 | 2013 | 3 | |
| 14 | 2006 | 1 |
About Michael Ditiatkovski
Michael Ditiatkovski is a scholar working on Surgery, Molecular Biology, Immunology, Epidemiology and Virology, having authored 14 papers that have together received 476 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), HIV Research and Treatment (2 papers), HIV-related health complications and treatments (2 papers), Signaling Pathways in Disease (2 papers), Reproductive System and Pregnancy (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Virology (78 citations), Immunology (160 citations), Emergency Medicine (57 citations), Cancer Research (47 citations) and Infectious Diseases (56 citations). Michael Ditiatkovski has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Dmitri Sviridov, Alex Bobik, Ban‐Hock Toh, Nigora Mukhamedova, A. Bobik, Peter Kanellakis, Michael Bukrinsky, Ying Fu, Hann Low and Peter J. Meikle. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Cell Metabolism, PLoS Pathogens, Atherosclerosis Supplements and Journal of Pharmacology and Experimental Therapeutics.
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.