Michael Ditiatkovski
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Atherosclerosis and Cardiovascular Diseases
Papers in
-
- Peroxisome Proliferator-Activated Receptors 2
- Signaling Pathways in Disease 2
- Extracellular vesicles in disease 2
- Surgery 4
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Dmitri Sviridov (10 shared papers)Alex Bobik (2 shared papers)Ban‐Hock Toh (2 shared papers)Nigora Mukhamedova (7 shared papers)Peter Kanellakis (1 shared paper)Michael Bukrinsky (7 shared papers)A. Bobik (1 shared paper)Ying Fu (5 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Cell Reports (1 paper)Cardiovascular Research (1 paper)EMBO Reports (1 paper)Cell Metabolism (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Michael Ditiatkovski
14 papers receiving 488 citations
Peers
Comparison fields: 5 of 60
- Virology 66
- Immunology 142
- Emergency Medicine 55
- Cancer Research 42
- Surgery 119
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 | 102 | |
| 2 | 2012 | 75 | |
| 3 | 2006 | 66 | |
| 4 | 2013 | 46 | |
| 5 | 2016 | 45 | |
| 6 | 2014 | 45 | |
| 7 | 2013 | 29 | |
| 8 | 2020 | 23 | |
| 9 | 2020 | 19 | |
| 10 | 2017 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2015 | 6 | |
| 13 | 2013 | 3 | |
| 14 | 2006 | 1 |
About Michael Ditiatkovski
Michael Ditiatkovski is a scholar working on Molecular Biology, Surgery, Immunology, Virology and Epidemiology, having authored 14 papers that have together received 495 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), HIV-related health complications and treatments (2 papers), Signaling Pathways in Disease (2 papers), Reproductive System and Pregnancy (2 papers), HIV Research and Treatment (2 papers), Extracellular vesicles in disease (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Virology (66 citations), Immunology (142 citations), Emergency Medicine (55 citations), Cancer Research (42 citations) and Surgery (119 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, Peter Kanellakis, Michael Bukrinsky, A. Bobik, Ying Fu, Hann Low and Peter J. Meikle. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Cell Reports, Cardiovascular Research, EMBO Reports and Cell Metabolism.
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.