Anton Goloborodko
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics 18
- RNA Research and Splicing 7
- Metabolomics and Mass Spectrometry Studies 3
- Plant Science top 1%
- Chromosomal and Genetic Variations 14
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals 5
- Immunology top 10%
- Aging top 10%
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- Advanced Proteomics Techniques and Applications 9
- Mass Spectrometry Techniques and Applications 8
- Analytical Chemistry and Chromatography 7
- Co-authors
- Leonid A. MirnyGeoffrey FudenbergNezar AbdennurMaxim ImakaevJob DekkerJohan H. GibcusN. M. NaumovaJohn F. Marko
- Partner nations
- United StatesRussiaAustria
In The Last Decade
Anton Goloborodko
41 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 5.7k
- Plant Science 2.0k
- Genetics 722
- Immunology 360
- Aging 29
Countries citing papers authored by Anton Goloborodko
This map shows the geographic impact of Anton Goloborodko'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 Anton Goloborodko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Goloborodko more than expected).
Fields of papers citing papers by Anton Goloborodko
This network shows the impact of papers produced by Anton Goloborodko. 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 Anton Goloborodko. The network helps show where Anton Goloborodko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anton Goloborodko, 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 | 2025 | 0 | |
| 2 | 2025 | 13 | |
| 3 | Cooltools: Enabling high-resolution Hi-C analysis in Pythonbreakdown → | 2024 | 86 |
| 4 | 2023 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 14 | |
| 7 | 2020 | 66 | |
| 8 | 2019 | 45 | |
| 9 | 2019 | 39 | |
| 10 | A pathway for mitotic chromosome formationbreakdown → | 2018 | 486 |
| 11 | A pathway for mitotic chromosome formation | 2018 | 1 |
| 12 | 2017 | 186 | |
| 13 | Two independent modes of chromatin organization revealed by cohesin removalbreakdown → | 2017 | 791 |
| 14 | 2016 | 283 | |
| 15 | Formation of Chromosomal Domains by Loop Extrusionbreakdown → | 2016 | 1255 |
| 16 | 2016 | 128 | |
| 17 | 2016 | 213 | |
| 18 | Iterative correction of Hi-C data reveals hallmarks of chromosome organizationbreakdown → | 2012 | 858 |
| 19 | 2010 | 13 | |
| 20 | 2010 | 25 |
About Anton Goloborodko
Anton Goloborodko is a scholar working on Spectroscopy, Molecular Biology and Plant Science, having authored 42 papers that have together received 6.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (18 papers), Chromosomal and Genetic Variations (14 papers), Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (8 papers), Analytical Chemistry and Chromatography (7 papers), RNA Research and Splicing (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Plant Science (2.0k citations) and Genetics (722 citations). Anton Goloborodko has collaborated with scholars based in United States, Russia and Austria. Frequent co-authors include Leonid A. Mirny, Geoffrey Fudenberg, Nezar Abdennur, Maxim Imakaev, Job Dekker, Johan H. Gibcus, N. M. Naumova, John F. Marko, Benoit G. Bruneau and Elphège P. Nora. Their work appears in journals such as Nature, Science and Cell.
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.