E. I. Tiktopulo
Impact in
- Molecular Medicine top 2%
- Hydrogels: synthesis, properties, applications
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- thermodynamics and calorimetric analyses
Papers in
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- Collagen: Extraction and Characterization 5
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- thermodynamics and calorimetric analyses 4
- Co-authors
- Peter L. Privalov (10 shared papers)Valentina E. Bychkova (7 shared papers)Oleg B. Ptitsyn (3 shared papers)Н. Н. Хечинашвили (3 shared papers)J. Rička (1 shared paper)George I. Makhatadze (1 shared paper)Yu.V. Griko (1 shared paper)S.Yu. Venyaminov (1 shared paper)
In The Last Decade
E. I. Tiktopulo
28 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Molecular Medicine 312
- Physical and Theoretical Chemistry 217
- Biomaterials 255
- Molecular Biology 946
- Materials Chemistry 542
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-authors
The 25 scholars most cited alongside E. I. Tiktopulo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 284 | |
| 2 | 1995 | 266 | |
| 3 | 1985 | 236 | |
| 4 | 1994 | 211 | |
| 5 | 1970 | 127 | |
| 6 | 1979 | 93 | |
| 7 | 1973 | 79 | |
| 8 | 1978 | 53 | |
| 9 | 2009 | 50 | |
| 10 | 2000 | 42 | |
| 11 | 1973 | 37 | |
| 12 | 2002 | 34 | |
| 13 | 2001 | 33 | |
| 14 | 1982 | 32 | |
| 15 | 1971 | 28 | |
| 16 | 1974 | 26 | |
| 17 | 1988 | 24 | |
| 18 | 2007 | 17 | |
| 19 | 2007 | 15 | |
| 20 | 1995 | 13 |
About E. I. Tiktopulo
E. I. Tiktopulo is a scholar working on Biomaterials, Physical and Theoretical Chemistry, Molecular Biology, Cell Biology and Animal Science and Zoology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Lipid Membrane Structure and Behavior (5 papers), Collagen: Extraction and Characterization (5 papers), thermodynamics and calorimetric analyses (4 papers), Hemoglobin structure and function (4 papers), Proteins in Food Systems (3 papers), Enzyme Structure and Function (3 papers) and Meat and Animal Product Quality (3 papers). The work is most often cited by research in Molecular Medicine (312 citations), Physical and Theoretical Chemistry (217 citations), Biomaterials (255 citations), Molecular Biology (946 citations) and Materials Chemistry (542 citations). E. I. Tiktopulo has collaborated with scholars based in Russia, Ukraine and Germany. Frequent co-authors include Peter L. Privalov, Valentina E. Bychkova, Oleg B. Ptitsyn, Н. Н. Хечинашвили, J. Rička, George I. Makhatadze, Yu.V. Griko, S.Yu. Venyaminov, Vladimir Nikolaevich Uversky and Stanislav I. Klenin. Their work appears in journals such as Biopolymers, Biophysical Chemistry, Macromolecules, Journal of Molecular Biology and FEBS Letters.
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.