Mikhail G. Kolonin
- Molecular Biology top 5%
- Physiology top 1%
- Oncology top 2%
- Genetics top 0.5%
- Epidemiology top 2%
- Co-authors
- Renata PasqualiniWadih ArapAlexes C. DaquinagJohn DiGiovanniFelipe Amaya‐ManzanaresDmitry O. TraktuevKeith L. MarchRussell L. Finley
- Topics
- Adipose Tissue and Metabolism (26 papers)Cancer Cells and Metastasis (20 papers)Adipokines, Inflammation, and Metabolic Diseases (19 papers)
- Cited by
- GeneticsCancer ResearchPhysiology
- Partner nations
- United StatesItalySpain
In The Last Decade
Mikhail G. Kolonin
107 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 2.4k
- Physiology 1.4k
- Oncology 1.4k
- Genetics 1.1k
- Epidemiology 1.1k
Countries citing papers authored by Mikhail G. Kolonin
This map shows the geographic impact of Mikhail G. Kolonin'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 Mikhail G. Kolonin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail G. Kolonin more than expected).
Fields of papers citing papers by Mikhail G. Kolonin
This network shows the impact of papers produced by Mikhail G. Kolonin. 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 Mikhail G. Kolonin. The network helps show where Mikhail G. Kolonin may publish in the future.
Co-authorship network of co-authors of Mikhail G. Kolonin
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail G. Kolonin. A scholar is included among the top collaborators of Mikhail G. Kolonin 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 Mikhail G. Kolonin. Mikhail G. Kolonin 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 | 5 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 41 | |
| 7 | 42 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 61 | |
| 11 | 17 | |
| 12 | 29 | |
| 13 | 78 | |
| 14 | 181 | |
| 15 | 143 | |
| 16 | 61 | |
| 17 | 245 | |
| 18 | A Population of Multipotent CD34-Positive Adipose Stromal Cells Share Pericyte and Mesenchymal Surface Markers, Reside in a Periendothelial Location, and Stabilize Endothelial Networksbreakdown → | 673 |
| 19 | 63 | |
| 20 | 52 |
About Mikhail G. Kolonin
Mikhail G. Kolonin is a scholar working on Genetics, Cancer Research and Physiology, having authored 109 papers that have together received 5.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (26 papers), Cancer Cells and Metastasis (20 papers) and Adipokines, Inflammation, and Metabolic Diseases (19 papers). The work is most often cited by research in Genetics (1.1k citations), Cancer Research (1.0k citations) and Physiology (1.4k citations). Mikhail G. Kolonin has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Renata Pasqualini, Wadih Arap, Alexes C. Daquinag, John DiGiovanni, Felipe Amaya‐Manzanares, Dmitry O. Traktuev, Keith L. March, Russell L. Finley, Paul J. Simmons and Lawrence Chan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.
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.