Olga Makarova
- Horticulture top 1%
- Cocoa and Sweet Potato Agronomy 5
- Insect Science top 5%
- Insect symbiosis and bacterial influences 7
- Microbiology top 5%
- Antimicrobial Peptides and Activities 3
- Plant Science top 5%
- Phytoplasmas and Hemiptera pathogens 9
- Plant Pathogenic Bacteria Studies 6
- Weed Control and Herbicide Applications 3
- Molecular Medicine top 10%
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- Pesticide and Herbicide Environmental Studies 3
- Pharmaceutical and Antibiotic Environmental Impacts 3
- Co-authors
- Jens RolffPaul R. JohnstonAlexandro Rodríguez-RojasMogens NicolaisenStephanie LaurinecMichael H. RohChia‐Jen LiuBen Margolis
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Olga Makarova
29 papers receiving 916 citations
Peers
Comparison fields: 5 of 93
- Horticulture 122
- Insect Science 231
- Microbiology 115
- Plant Science 375
- Molecular Medicine 50
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
The 25 scholars most cited alongside Olga Makarova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 0 | |
| 2 | 2020 | 76 | |
| 3 | 2019 | 22 | |
| 4 | 2018 | 28 | |
| 5 | 2018 | 44 | |
| 6 | 2017 | 6 | |
| 7 | 2016 | 42 | |
| 8 | 2015 | 1 | |
| 9 | 2015 | 21 | |
| 10 | 2014 | 66 | |
| 11 | 2012 | 7 | |
| 12 | 2012 | 46 | |
| 13 | Use of a fragment of the tuf gene for phytoplasma 16Sr group/subgroup differentiation | 2011 | 8 |
| 14 | Use of quantitative real time PCR for a genome-wide study of AYWB phytoplasma gene expression in plant and insect hosts. | 2011 | 2 |
| 15 | Deep amplicon sequencing reveals mixed phytoplasma infection within single grapevine plants. | 2011 | 9 |
| 16 | Sharing information and collections on phytoplasmas: from QBOL to QBANK | 2011 | 2 |
| 17 | 2008 | 1 | |
| 18 | 2003 | 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. | 1996 | 7 |
| 20 | 1983 | 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), Plant Pathogenic Bacteria Studies (6 papers), Cocoa and Sweet Potato Agronomy (5 papers), Weed Control and Herbicide Applications (3 papers), Antimicrobial Peptides and Activities (3 papers), Pesticide and Herbicide Environmental Studies (3 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 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 PLoS Genetics, Microbial Ecology, Scientific Reports, Frontiers in Microbiology and Gene.
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.