Michael A. Koldobskiy
- Molecular Biology top 5%
- Oncology top 5%
- Cell Biology top 5%
- Cancer Research top 10%
- Hematology top 5%
- Co-authors
- Andrew P. FeinbergAnita GöndörCraig M. CrewsSolomon H. SnyderRaymond J. DeshaiesKathleen M. SakamotoAmit Kumar MandalJohn S. Schneekloth
- Topics
- Epigenetics and DNA Methylation (9 papers)Ubiquitin and proteasome pathways (5 papers)Immune Cell Function and Interaction (3 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesIsraelAustria
In The Last Decade
Michael A. Koldobskiy
22 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.7k
- Oncology 516
- Cell Biology 326
- Cancer Research 247
- Hematology 239
Countries citing papers authored by Michael A. Koldobskiy
This map shows the geographic impact of Michael A. Koldobskiy'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 A. Koldobskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Koldobskiy more than expected).
Fields of papers citing papers by Michael A. Koldobskiy
This network shows the impact of papers produced by Michael A. Koldobskiy. 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 A. Koldobskiy. The network helps show where Michael A. Koldobskiy may publish in the future.
Co-authorship network of co-authors of Michael A. Koldobskiy
This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Koldobskiy. A scholar is included among the top collaborators of Michael A. Koldobskiy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael A. Koldobskiy. Michael A. Koldobskiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 110 | |
| 12 | 12 | |
| 13 | 16 | |
| 14 | 9 | |
| 15 | Epigenetic modulators, modifiers and mediators in cancer aetiology and progressionbreakdown → | 610 |
| 16 | 106 | |
| 17 | 113 | |
| 18 | 296 | |
| 19 | 257 | |
| 20 | 28 |
About Michael A. Koldobskiy
Michael A. Koldobskiy is a scholar working on Hematology, Molecular Biology and Oncology, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Ubiquitin and proteasome pathways (5 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Hematology (239 citations) and Cell Biology (326 citations). Michael A. Koldobskiy has collaborated with scholars based in United States, Israel and Austria. Frequent co-authors include Andrew P. Feinberg, Anita Göndör, Craig M. Crews, Solomon H. Snyder, Raymond J. Deshaies, Kathleen M. Sakamoto, Amit Kumar Mandal, John S. Schneekloth, Fabiana N. Fonseca and Krishna R. Juluri. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.