Olga Makarova
- Plant Science top 5%
- Molecular Biology
- Insect Science top 5%
- Cell Biology top 10%
- Horticulture top 1%
- Co-authors
- Jens RolffPaul R. JohnstonAlexandro Rodríguez-RojasMogens NicolaisenStephanie LaurinecMichael H. RohChia‐Jen LiuBen Margolis
- Topics
- Phytoplasmas and Hemiptera pathogens (9 papers)Insect symbiosis and bacterial influences (7 papers)Plant Pathogenic Bacteria Studies (6 papers)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Olga Makarova
29 papers receiving 916 citations
Peers
Comparison fields: 5 of 93
- Plant Science 375
- Molecular Biology 299
- Insect Science 231
- Cell Biology 133
- Horticulture 122
Countries citing papers authored by Olga Makarova
This map shows the geographic impact of Olga Makarova'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 Olga Makarova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Makarova more than expected).
Fields of papers citing papers by Olga Makarova
This network shows the impact of papers produced by Olga Makarova. 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 Olga Makarova. The network helps show where Olga Makarova may publish in the future.
Co-authorship network of co-authors of Olga Makarova
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Makarova. A scholar is included among the top collaborators of Olga Makarova 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 Olga Makarova. Olga Makarova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 76 | |
| 3 | 22 | |
| 4 | 28 | |
| 5 | 44 | |
| 6 | 6 | |
| 7 | 42 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 66 | |
| 11 | 7 | |
| 12 | 46 | |
| 13 | Use of a fragment of the tuf gene for phytoplasma 16Sr group/subgroup differentiation | 8 |
| 14 | Use of quantitative real time PCR for a genome-wide study of AYWB phytoplasma gene expression in plant and insect hosts. | 2 |
| 15 | Deep amplicon sequencing reveals mixed phytoplasma infection within single grapevine plants. | 9 |
| 16 | Sharing information and collections on phytoplasmas: from QBOL to QBANK | 2 |
| 17 | 1 | |
| 18 | 160 | |
| 19 | Incorporation of nuclear matrix attachment regions into the herpes simplex virus type 1 genome does not induce long-term expression of a foreign gene during latency. | 7 |
| 20 | 6 |
About Olga Makarova
Olga Makarova is a scholar working on Horticulture, Insect Science and Microbiology, having authored 30 papers that have together received 934 indexed citations. Recurring topics across this work include Phytoplasmas and Hemiptera pathogens (9 papers), Insect symbiosis and bacterial influences (7 papers) and Plant Pathogenic Bacteria Studies (6 papers). The work is most often cited by research in Horticulture (122 citations), Insect Science (231 citations) and Microbiology (115 citations). Olga Makarova has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Jens Rolff, Paul R. Johnston, Alexandro Rodríguez-Rojas, Mogens Nicolaisen, Stephanie Laurinec, Michael H. Roh, Chia‐Jen Liu, Ben Margolis, Allyson M. MacLean and Akiko Sugio. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.