Julia M. Plotnikova
Impact in
- Plant Science top 0.5%
- Plant-Microbe Interactions and Immunity
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant Pathogenic Bacteria Studies
- Plant Disease Resistance and Genetics
- Powdery Mildew Fungal Diseases
- Molecular Biology top 10%
- Bacterial biofilms and quorum sensing
- Plant Gene Expression Analysis
Papers in
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- Plant-Microbe Interactions and Immunity 4
- Powdery Mildew Fungal Diseases 3
- Plant Pathogenic Bacteria Studies 2
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- Bacterial biofilms and quorum sensing 2
- Cell death mechanisms and regulation 1
- Co-authors
- Frederick M. Ausubel (10 shared papers)Guillaume Tena (1 shared paper)Tsuneaki Asai (1 shared paper)Thomas Boller (1 shared paper)Wan-Ling Chiu (1 shared paper)Lourdes Gómez‐Gómez (1 shared paper)Matthew R. Willmann (1 shared paper)Jen Sheen (1 shared paper)
- Journals
- Mycologia (2 papers)The Plant Journal (2 papers)Current Biology (1 paper)PLANT PHYSIOLOGY (1 paper)Nature (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Julia M. Plotnikova
10 papers receiving 3.7k citations
Julia M. Plotnikova's Hit Papers
Peers
Comparison fields: 5 of 72
- Plant Science 3k
- Molecular Biology 813
- Endocrinology 49
- Insect Science 123
- Biotechnology 47
Countries citing papers authored by Julia M. Plotnikova
This map shows the geographic impact of Julia M. Plotnikova'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 Julia M. Plotnikova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia M. Plotnikova more than expected).
Fields of papers citing papers by Julia M. Plotnikova
This network shows the impact of papers produced by Julia M. Plotnikova. 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 Julia M. Plotnikova. The network helps show where Julia M. Plotnikova may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia M. Plotnikova, 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 | MAP kinase signalling cascade in Arabidopsis innate immunity Hit paper breakdown → | 2002 | 2282 |
| 2 | 2003 | 466 | |
| 3 | 2000 | 350 | |
| 4 | 2004 | 224 | |
| 5 | 1998 | 207 | |
| 6 | 2000 | 110 | |
| 7 | 2001 | 97 | |
| 8 | 1998 | 50 | |
| 9 | 1998 | 37 | |
| 10 | 2014 | 2 |
About Julia M. Plotnikova
Julia M. Plotnikova is a scholar working on Plant Science, Molecular Biology, Immunology, Genetics and Nuclear Energy and Engineering, having authored 10 papers that have together received 3.8k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (4 papers), Powdery Mildew Fungal Diseases (3 papers), Plant Pathogenic Bacteria Studies (2 papers), Bacterial biofilms and quorum sensing (2 papers), Bacterial Genetics and Biotechnology (1 paper), Cell death mechanisms and regulation (1 paper) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Plant Science (3k citations), Molecular Biology (813 citations), Endocrinology (49 citations), Insect Science (123 citations) and Biotechnology (47 citations). Julia M. Plotnikova has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Frederick M. Ausubel, Guillaume Tena, Tsuneaki Asai, Thomas Boller, Wan-Ling Chiu, Lourdes Gómez‐Gómez, Matthew R. Willmann, Jen Sheen, Giulia De Lorenzo and Simone Ferrari. Their work appears in journals such as Mycologia, The Plant Journal, Current Biology, PLANT PHYSIOLOGY and Nature.
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.