E. I. Tiktopulo
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Organic Chemistry top 10%
- Molecular Medicine top 1%
- Biomaterials top 5%
- Co-authors
- Peter L. PrivalovValentina E. BychkovaOleg B. PtitsynН. Н. ХечинашвилиJ. RičkaS.Yu. VenyaminovYu.V. GrikoGeorge I. Makhatadze
- Topics
- Protein Structure and Dynamics (10 papers)Collagen: Extraction and Characterization (6 papers)Lipid Membrane Structure and Behavior (5 papers)
In The Last Decade
E. I. Tiktopulo
29 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 913
- Materials Chemistry 521
- Organic Chemistry 305
- Molecular Medicine 303
- Biomaterials 242
Countries citing papers authored by E. I. Tiktopulo
This map shows the geographic impact of E. I. Tiktopulo'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 E. I. Tiktopulo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. I. Tiktopulo more than expected).
Fields of papers citing papers by E. I. Tiktopulo
This network shows the impact of papers produced by E. I. Tiktopulo. 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 E. I. Tiktopulo. The network helps show where E. I. Tiktopulo may publish in the future.
Co-authorship network of co-authors of E. I. Tiktopulo
This figure shows the co-authorship network connecting the top 25 collaborators of E. I. Tiktopulo. A scholar is included among the top collaborators of E. I. Tiktopulo 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 E. I. Tiktopulo. E. I. Tiktopulo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 16 | |
| 6 | [Structural changes in Cry3A delta-endotoxin from Bacillus thuringiensis var. Tenebrionis in alcohol solutions at pH 2.0]. | 0 |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 32 | |
| 10 | [Collagen denaturation enthalpy--nonlinear function of 4-hydroxyproline]. | 2 |
| 11 | 13 | |
| 12 | 204 | |
| 13 | 275 | |
| 14 | 23 | |
| 15 | 228 | |
| 16 | 29 | |
| 17 | 86 | |
| 18 | 50 | |
| 19 | 22 | |
| 20 | 73 |
About E. I. Tiktopulo
E. I. Tiktopulo is a scholar working on Biomaterials, Physical and Theoretical Chemistry and General Materials Science, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Collagen: Extraction and Characterization (6 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Molecular Medicine (303 citations), Physical and Theoretical Chemistry (206 citations) and Biomaterials (242 citations). E. I. Tiktopulo has collaborated with scholars based in Russia, Ukraine and Georgia. Frequent co-authors include Peter L. Privalov, Valentina E. Bychkova, Oleg B. Ptitsyn, Н. Н. Хечинашвили, J. Rička, S.Yu. Venyaminov, Yu.V. Griko, George I. Makhatadze, Vladimir N. Uversky and S.I. Klenin. Their work appears in journals such as Journal of Molecular Biology, Biochemistry and Macromolecules.
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.