Grigory Tikhomirov
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Biomaterials top 2%
- Materials Chemistry top 10%
- Organic Chemistry top 10%
- Co-authors
- Philip PetersenLulu QianJianghong RaoLina CuiDeju YeAdam J. ShuhendlerSui Seng TeeLing Tong
- Topics
- Advanced biosensing and bioanalysis techniques (11 papers)Nanoparticle-Based Drug Delivery (6 papers)Nanoplatforms for cancer theranostics (5 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Grigory Tikhomirov
28 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.3k
- Biomedical Engineering 963
- Biomaterials 563
- Materials Chemistry 540
- Organic Chemistry 212
Countries citing papers authored by Grigory Tikhomirov
This map shows the geographic impact of Grigory Tikhomirov'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 Grigory Tikhomirov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grigory Tikhomirov more than expected).
Fields of papers citing papers by Grigory Tikhomirov
This network shows the impact of papers produced by Grigory Tikhomirov. 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 Grigory Tikhomirov. The network helps show where Grigory Tikhomirov may publish in the future.
Co-authorship network of co-authors of Grigory Tikhomirov
This figure shows the co-authorship network connecting the top 25 collaborators of Grigory Tikhomirov. A scholar is included among the top collaborators of Grigory Tikhomirov 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 Grigory Tikhomirov. Grigory Tikhomirov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | AI-Based Prediction of Protein Corona Composition on DNA Nanostructuresbreakdown → | 18 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 45 | |
| 9 | Fractal assembly of micrometre-scale DNA origami arrays with arbitrary patternsbreakdown → | 399 |
| 10 | 96 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | Bioorthogonal cyclization-mediated in situ self-assembly of small-molecule probes for imaging caspase activity in vivobreakdown → | 425 |
| 14 | 55 | |
| 15 | 191 | |
| 16 | 217 | |
| 17 | 68 | |
| 18 | 20 | |
| 19 | 22 | |
| 20 | Crystal structure of beryllium nitrate complexes (NO)2[Be(NO3)4] and Be4O(NO3)6 | 2 |
About Grigory Tikhomirov
Grigory Tikhomirov is a scholar working on Structural Biology, Biomaterials and Surfaces, Coatings and Films, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (11 papers), Nanoparticle-Based Drug Delivery (6 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Biomaterials (563 citations), Biomedical Engineering (963 citations) and Molecular Biology (1.3k citations). Grigory Tikhomirov has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Philip Petersen, Lulu Qian, Jianghong Rao, Lina Cui, Deju Ye, Adam J. Shuhendler, Sui Seng Tee, Ling Tong, Dean W. Felsher and Shana O. Kelley. Their work appears in journals such as Nature, Journal of the American Chemical Society 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.