Lidia Ivanova
- Molecular Biology
- Immunology top 10%
- Epidemiology
- Infectious Diseases
- Public Health, Environmental and Occupational Health
- Co-authors
- Milton J. SchlesingerTerrance T. KummerDavid A. HarrisSami J. BarmadaPhilippe SaudanMartin F. BachmannRoger R. BeerliHideki Nakano
- Topics
- Virology and Viral Diseases (6 papers)Lipid Membrane Structure and Behavior (5 papers)Virus-based gene therapy research (3 papers)
- Cited by
- ImmunologyNeurologyVirology
- Partner nations
- United StatesBulgariaGermany
In The Last Decade
Lidia Ivanova
21 papers receiving 766 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 280
- Immunology 217
- Epidemiology 130
- Infectious Diseases 112
- Public Health, Environmental and Occupational Health 95
Countries citing papers authored by Lidia Ivanova
This map shows the geographic impact of Lidia Ivanova'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 Lidia Ivanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidia Ivanova more than expected).
Fields of papers citing papers by Lidia Ivanova
This network shows the impact of papers produced by Lidia Ivanova. 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 Lidia Ivanova. The network helps show where Lidia Ivanova may publish in the future.
Co-authorship network of co-authors of Lidia Ivanova
This figure shows the co-authorship network connecting the top 25 collaborators of Lidia Ivanova. A scholar is included among the top collaborators of Lidia Ivanova 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 Lidia Ivanova. Lidia Ivanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Plasma lipoproteins as drug carriers. Effect of phospholipid formulations]. | 2 |
| 2 | 1 | |
| 3 | 24 | |
| 4 | Influence of membrane phospholipid composition and structural organization on spontaneous lipid transfer between membranes. | 3 |
| 5 | 223 | |
| 6 | 29 | |
| 7 | 4 | |
| 8 | 98 | |
| 9 | 22 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 24 | |
| 13 | 7 | |
| 14 | 26 | |
| 15 | 18 | |
| 16 | 96 | |
| 17 | 2 | |
| 18 | 43 | |
| 19 | [A method of determining catalase activity]. | 161 |
| 20 | [Effect of cholesterol on the physical state and function of lymphocyte membranes]. | 3 |
About Lidia Ivanova
Lidia Ivanova is a scholar working on Horticulture, Endocrinology and Infectious Diseases, having authored 21 papers that have together received 811 indexed citations. Recurring topics across this work include Virology and Viral Diseases (6 papers), Lipid Membrane Structure and Behavior (5 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Immunology (217 citations), Neurology (82 citations) and Virology (32 citations). Lidia Ivanova has collaborated with scholars based in United States, Bulgaria and Germany. Frequent co-authors include Milton J. Schlesinger, Terrance T. Kummer, David A. Harris, Sami J. Barmada, Philippe Saudan, Martin F. Bachmann, Roger R. Beerli, Hideki Nakano, Chiara Nembrini and Manfred Köpf. Their work appears in journals such as Journal of Biological Chemistry, Immunity and Molecular and Cellular Biology.
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.