T. V. Arak
Impact in
- Aging top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Stochastic processes and statistical mechanics 4
- advanced mathematical theories 4
-
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
- Co-authors
- Jaak Vilo (3 shared papers)Priit Adler (2 shared papers)Hedi Peterson (2 shared papers)Liis Kolberg (2 shared papers)Ivan Kuzmin (1 shared paper)Uku Raudvere (1 shared paper)Jüri Reimand (2 shared papers)Sulev Reisberg (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Advances in Applied Probability (2 papers)Probability Theory and Related Fields (2 papers)Theory of Probability and Its Applications (7 papers)American Mathematical Society eBooks (1 paper)
- Partner nations
- EstoniaSwedenUnited Kingdom
In The Last Decade
T. V. Arak
15 papers receiving 4.7k citations
T. V. Arak's Hit Papers
Peers
Comparison fields: 5 of 160
- Aging 74
- Cancer Research 633
- Molecular Biology 2.7k
- Genetics 778
- Immunology 537
Countries citing papers authored by T. V. Arak
This map shows the geographic impact of T. V. Arak'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 T. V. Arak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. V. Arak more than expected).
Fields of papers citing papers by T. V. Arak
This network shows the impact of papers produced by T. V. Arak. 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 T. V. Arak. The network helps show where T. V. Arak may publish in the future.
Co-authors
The 13 scholars most cited alongside T. V. Arak, 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 | g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update) Hit paper breakdown → | 2019 | 3248 |
| 2 | g:Profiler—a web server for functional interpretation of gene lists (2016 update) Hit paper breakdown → | 2016 | 885 |
| 3 | 2011 | 384 | |
| 4 | Uniform limit theorems for sums of independent random variables | 1988 | 73 |
| 5 | 1993 | 31 | |
| 6 | 1989 | 29 | |
| 7 | 1982 | 23 | |
| 8 | 1981 | 23 | |
| 9 | 1991 | 16 | |
| 10 | 1984 | 15 | |
| 11 | 1983 | 13 | |
| 12 | 1993 | 9 | |
| 13 | 1975 | 6 | |
| 14 | 1976 | 5 | |
| 15 | 1974 | 3 |
About T. V. Arak
T. V. Arak is a scholar working on Mathematical Physics, Molecular Biology, Finance, Applied Mathematics and Statistics and Probability, having authored 15 papers that have together received 4.8k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (4 papers), advanced mathematical theories (4 papers), Bioinformatics and Genomic Networks (3 papers), Point processes and geometric inequalities (3 papers), Stochastic processes and financial applications (3 papers), Gene expression and cancer classification (3 papers), Markov Chains and Monte Carlo Methods (2 papers) and Mathematical Approximation and Integration (2 papers). The work is most often cited by research in Aging (74 citations), Cancer Research (633 citations), Molecular Biology (2.7k citations), Genetics (778 citations) and Immunology (537 citations). T. V. Arak has collaborated with scholars based in Estonia, Sweden and United Kingdom. Frequent co-authors include Jaak Vilo, Priit Adler, Hedi Peterson, Liis Kolberg, Ivan Kuzmin, Uku Raudvere, Jüri Reimand, Sulev Reisberg, Донатас Сургайлис and И. А. Ибрагимов. Their work appears in journals such as Nucleic Acids Research, Advances in Applied Probability, Probability Theory and Related Fields, Theory of Probability and Its Applications and American Mathematical Society eBooks.
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.