Natalie D. Fedorova
- Molecular Biology top 1%
- Plant Science top 1%
- Ecology top 2%
- Pharmacology top 0.5%
- Genetics top 5%
- Co-authors
- Eugene V. KooninAlexander V. SverdlovJohn D. JacksonDarren A. NataleAviva R. JacobsYuri I. WolfDmitri M. KrylovRaja Mazumder
- Topics
- Mycotoxins in Agriculture and Food (10 papers)Plant Pathogens and Fungal Diseases (9 papers)Antifungal resistance and susceptibility (8 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Natalie D. Fedorova
31 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 4.2k
- Plant Science 1.9k
- Ecology 1.0k
- Pharmacology 960
- Genetics 666
Countries citing papers authored by Natalie D. Fedorova
This map shows the geographic impact of Natalie D. Fedorova'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 Natalie D. Fedorova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie D. Fedorova more than expected).
Fields of papers citing papers by Natalie D. Fedorova
This network shows the impact of papers produced by Natalie D. Fedorova. 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 Natalie D. Fedorova. The network helps show where Natalie D. Fedorova may publish in the future.
Co-authorship network of co-authors of Natalie D. Fedorova
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie D. Fedorova. A scholar is included among the top collaborators of Natalie D. Fedorova 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 Natalie D. Fedorova. Natalie D. Fedorova 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 | 23 | |
| 3 | 7 | |
| 4 | 51 | |
| 5 | 50 | |
| 6 | 46 | |
| 7 | 3 | |
| 8 | 108 | |
| 9 | 48 | |
| 10 | SMURF: Genomic mapping of fungal secondary metabolite clustersbreakdown → | 549 |
| 11 | 14 | |
| 12 | 132 | |
| 13 | 202 | |
| 14 | 273 | |
| 15 | 88 | |
| 16 | 30 | |
| 17 | A comprehensive evolutionary classification of proteins encoded in complete eukaryotic genomesbreakdown → | 794 |
| 18 | 5 | |
| 19 | 20 | |
| 20 | 2 |
About Natalie D. Fedorova
Natalie D. Fedorova is a scholar working on Cell Biology, Plant Science and Infectious Diseases, having authored 32 papers that have together received 6.7k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (10 papers), Plant Pathogens and Fungal Diseases (9 papers) and Antifungal resistance and susceptibility (8 papers). The work is most often cited by research in Molecular Biology (4.2k citations), Pharmacology (960 citations) and Endocrinology (275 citations). Natalie D. Fedorova has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Eugene V. Koonin, Alexander V. Sverdlov, John D. Jackson, Darren A. Natale, Aviva R. Jacobs, Yuri I. Wolf, Dmitri M. Krylov, Raja Mazumder, Sona Vasudevan and Sergei Mekhedov. Their work appears in journals such as Microbiology and Molecular Biology Reviews, Molecular Microbiology and Infection and Immunity.
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.