Inna Dubchak
- Molecular Biology top 0.5%
- Plant Science top 0.5%
- Genetics top 0.5%
- Ecology top 2%
- Cell Biology top 1%
- Co-authors
- Lior PachterEdward M. RubinKelly A. FrazerAlexandre PoliakovChris DingAlexander PoliakovMichael BrudnoAdam P. Arkin
- Topics
- Genomics and Phylogenetic Studies (52 papers)RNA and protein synthesis mechanisms (35 papers)Chromosomal and Genetic Variations (17 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Inna Dubchak
103 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 9.6k
- Plant Science 3.0k
- Genetics 2.5k
- Ecology 1.1k
- Cell Biology 1000
Countries citing papers authored by Inna Dubchak
This map shows the geographic impact of Inna Dubchak'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 Inna Dubchak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inna Dubchak more than expected).
Fields of papers citing papers by Inna Dubchak
This network shows the impact of papers produced by Inna Dubchak. 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 Inna Dubchak. The network helps show where Inna Dubchak may publish in the future.
Co-authorship network of co-authors of Inna Dubchak
This figure shows the co-authorship network connecting the top 25 collaborators of Inna Dubchak. A scholar is included among the top collaborators of Inna Dubchak 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 Inna Dubchak. Inna Dubchak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | MycoCosm portal: gearing up for 1000 fungal genomesbreakdown → | 982 |
| 3 | 104 | |
| 4 | RegTransBase - A Database Of Regulatory Sequences and Interactions in a Wide Range of \nProkaryotic Genomes | 81 |
| 5 | Conservation patterns in different functional sequence categories of divergent Drosophila \nspecies | 19 |
| 6 | 41 | |
| 7 | 169 | |
| 8 | 105 | |
| 9 | 188 | |
| 10 | Comparative genomics approaches to study organism similarities and differences | 32 |
| 11 | Automatic discovery of sub-molecular sequence domains in multi-aligned \nsequences: A dynamic programming algorithm for multiple alignment \nsegmentation | 2 |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 8 |
About Inna Dubchak
Inna Dubchak is a scholar working on Genetics, Molecular Biology and Polymers and Plastics, having authored 107 papers that have together received 12.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (52 papers), RNA and protein synthesis mechanisms (35 papers) and Chromosomal and Genetic Variations (17 papers). The work is most often cited by research in Molecular Biology (9.6k citations), Genetics (2.5k citations) and Plant Science (3.0k citations). Inna Dubchak has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Lior Pachter, Edward M. Rubin, Kelly A. Frazer, Alexandre Poliakov, Chris Ding, Alexander Poliakov, Michael Brudno, Adam P. Arkin, Ilya Muchnik and Stephen R. Holbrook. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.