Mikhail Papisov
- Biomaterials top 1%
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Materials Chemistry top 10%
- Co-authors
- Alexei BogdanovRalph WeisslederThomas J. BradyTueng T. ShenEdward A. NeuweltVladimir G. OmelyanenkoVladimir S. TrubetskoyChristine Gentry
- Topics
- Nanoparticle-Based Drug Delivery (10 papers)Advanced MRI Techniques and Applications (10 papers)Lanthanide and Transition Metal Complexes (8 papers)
- Partner nations
- United StatesRussiaAustria
In The Last Decade
Mikhail Papisov
46 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 123
- Biomaterials 977
- Molecular Biology 816
- Biomedical Engineering 668
- Radiology, Nuclear Medicine and Imaging 551
- Materials Chemistry 414
Countries citing papers authored by Mikhail Papisov
This map shows the geographic impact of Mikhail Papisov'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 Papisov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Papisov more than expected).
Fields of papers citing papers by Mikhail Papisov
This network shows the impact of papers produced by Mikhail Papisov. 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 Papisov. The network helps show where Mikhail Papisov may publish in the future.
Co-authorship network of co-authors of Mikhail Papisov
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Papisov. A scholar is included among the top collaborators of Mikhail Papisov 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 Papisov. Mikhail Papisov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 6 | |
| 3 | 44 | |
| 4 | 104 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | MER-1001, a novel polymeric prodrug of camptothecin, is a potent inhibitor of LS174 and A2780 human tumor xenografts in a mouse model | 6 |
| 8 | 31 | |
| 9 | 55 | |
| 10 | 100 | |
| 11 | 23 | |
| 12 | 379 | |
| 13 | 2 | |
| 14 | 61 | |
| 15 | 48 | |
| 16 | 8 | |
| 17 | 21 | |
| 18 | 414 | |
| 19 | Polymeric Contrast Agents for MR Imaging of Adrenal-Glands | 1 |
| 20 | 21 |
About Mikhail Papisov
Mikhail Papisov is a scholar working on Biomaterials, Radiology, Nuclear Medicine and Imaging and Surfaces, Coatings and Films, having authored 47 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (10 papers), Advanced MRI Techniques and Applications (10 papers) and Lanthanide and Transition Metal Complexes (8 papers). The work is most often cited by research in Biomaterials (977 citations), Pharmaceutical Science (151 citations) and Radiology, Nuclear Medicine and Imaging (551 citations). Mikhail Papisov has collaborated with scholars based in United States, Russia and Austria. Frequent co-authors include Alexei Bogdanov, Ralph Weissleder, Thomas J. Brady, Tueng T. Shen, Edward A. Neuwelt, Vladimir G. Omelyanenko, Vladimir S. Trubetskoy, Christine Gentry, Vladimir P. Torchilin and James N. Herron. Their work appears in journals such as PLoS ONE, Cancer Research and Advanced Drug Delivery Reviews.
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.