Mart Speek
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
Papers in
-
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 4
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 3
- Advanced biosensing and bioanalysis techniques 2
- Genetics 7
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Heini Ilves (2 shared papers)Illar Pata (1 shared paper)Priit Kogerman (1 shared paper)Walter L. Miller (2 shared papers)Meng Kian Tee (1 shared paper)Balázs Legeza (1 shared paper)Jerome F. Strauss (1 shared paper)Bhavi P. Modi (1 shared paper)
- Journals
- Gene (2 papers)Molecular and Cellular Biology (2 papers)Genomics (1 paper)Human Molecular Genetics (1 paper)BioTechniques (1 paper)
- Partner nations
- EstoniaUnited StatesUnited Kingdom
In The Last Decade
Mart Speek
17 papers receiving 843 citations
Peers
Comparison fields: 5 of 67
- Plant Science 542
- Molecular Biology 753
- Genetics 135
- Cancer Research 49
- Reproductive Medicine 24
Countries citing papers authored by Mart Speek
This map shows the geographic impact of Mart Speek'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 Mart Speek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mart Speek more than expected).
Fields of papers citing papers by Mart Speek
This network shows the impact of papers produced by Mart Speek. 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 Mart Speek. The network helps show where Mart Speek may publish in the future.
Co-authors
The 15 scholars most cited alongside Mart Speek, 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 | 2001 | 310 | |
| 2 | 2002 | 178 | |
| 3 | 2006 | 109 | |
| 4 | 2013 | 79 | |
| 5 | 2011 | 35 | |
| 6 | 1996 | 27 | |
| 7 | 2006 | 27 | |
| 8 | 1992 | 26 | |
| 9 | 2016 | 25 | |
| 10 | 1982 | 18 | |
| 11 | 2012 | 5 | |
| 12 | 1988 | 5 | |
| 13 | 1995 | 4 | |
| 14 | 2008 | 2 | |
| 15 | 1982 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 1986 | 2 |
About Mart Speek
Mart Speek is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Organic Chemistry, having authored 17 papers that have together received 856 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Chromosomal and Genetic Variations (4 papers), RNA modifications and cancer (4 papers), Bacterial Genetics and Biotechnology (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Plant Science (542 citations), Molecular Biology (753 citations), Genetics (135 citations), Cancer Research (49 citations) and Reproductive Medicine (24 citations). Mart Speek has collaborated with scholars based in Estonia, United States and United Kingdom. Frequent co-authors include Heini Ilves, Illar Pata, Priit Kogerman, Walter L. Miller, Meng Kian Tee, Balázs Legeza, Jerome F. Strauss, Bhavi P. Modi, María E. Teves and Madis Metsis. Their work appears in journals such as Gene, Molecular and Cellular Biology, Genomics, Human Molecular Genetics and BioTechniques.
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.