Mikhail A. Kolpakov
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Oncology
- Cancer Research
- Neurology top 10%
- Co-authors
- Abdelkarim SabriKhadija RafiqMalika WinfieldYuri PersidskySlava RomAlecia SeligaNathan A. HeldtViviana Zuluaga‐Ramirez
- Topics
- Cardiac Fibrosis and Remodeling (7 papers)Signaling Pathways in Disease (5 papers)Protease and Inhibitor Mechanisms (5 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Mikhail A. Kolpakov
18 papers receiving 748 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 344
- Cardiology and Cardiovascular Medicine 164
- Oncology 128
- Cancer Research 104
- Neurology 93
Countries citing papers authored by Mikhail A. Kolpakov
This map shows the geographic impact of Mikhail A. Kolpakov'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 A. Kolpakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail A. Kolpakov more than expected).
Fields of papers citing papers by Mikhail A. Kolpakov
This network shows the impact of papers produced by Mikhail A. Kolpakov. 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 A. Kolpakov. The network helps show where Mikhail A. Kolpakov may publish in the future.
Co-authorship network of co-authors of Mikhail A. Kolpakov
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail A. Kolpakov. A scholar is included among the top collaborators of Mikhail A. Kolpakov 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 A. Kolpakov. Mikhail A. Kolpakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 231 | |
| 5 | 45 | |
| 6 | 184 | |
| 7 | Abstract 16159: Targeted Delivery of a Dual Cathepsin G and Chymase Inhibitor by Immunoliposomes Augments Cardioprotection in Mice | 1 |
| 8 | Abstract 16144: Death Associated Protein Kinase Mediates Myofibril Degeneration and Myocyte Apoptosis Induced by Beta-adrenergic Receptors | 1 |
| 9 | 37 | |
| 10 | 40 | |
| 11 | 21 | |
| 12 | 35 | |
| 13 | 33 | |
| 14 | 15 | |
| 15 | 35 | |
| 16 | 1 | |
| 17 | 39 | |
| 18 | 1 | |
| 19 | 1 |
About Mikhail A. Kolpakov
Mikhail A. Kolpakov is a scholar working on Immunology and Allergy, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 19 papers that have together received 755 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (7 papers), Signaling Pathways in Disease (5 papers) and Protease and Inhibitor Mechanisms (5 papers). The work is most often cited by research in Neurology (93 citations), Biological Psychiatry (23 citations) and Internal Medicine (28 citations). Mikhail A. Kolpakov has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Abdelkarim Sabri, Khadija Rafiq, Malika Winfield, Yuri Persidsky, Slava Rom, Alecia Seliga, Nathan A. Heldt, Viviana Zuluaga‐Ramirez, Sachin Gajghate and Xinji Guo. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Blood.
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.