Maja Bućan
Impact in
- Genetics top 0.5%
- Genomic variations and chromosomal abnormalities
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
Papers in
- Co-authors
- Kai WangMingyao LiOtto ValladaresHåkon HåkonarsonJoseph GlessnerMorris J. BirnbaumJames MuJoseph T. Brozinick
- Journals
- Genomics (8 papers)Genome Research (7 papers)Mammalian Genome (5 papers)Nucleic Acids Research (4 papers)The EMBO Journal (4 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Maja Bućan
101 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Genetics 2.8k
- Endocrine and Autonomic Systems 456
- Molecular Biology 4.1k
- Aging 93
- Cellular and Molecular Neuroscience 804
Countries citing papers authored by Maja Bućan
This map shows the geographic impact of Maja Bućan'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 Maja Bućan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Bućan more than expected).
Fields of papers citing papers by Maja Bućan
This network shows the impact of papers produced by Maja Bućan. 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 Maja Bućan. The network helps show where Maja Bućan may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Bućan, 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 | 2024 | 15 | |
| 2 | 2023 | 1 | |
| 3 | Estimating sleep parameters using an accelerometer without sleep diary Hit paper breakdown → | 2018 | 322 |
| 4 | 2018 | 14 | |
| 5 | 2017 | 87 | |
| 6 | 2017 | 9 | |
| 7 | 2016 | 34 | |
| 8 | 2009 | 13 | |
| 9 | 2008 | 223 | |
| 10 | Pathway-Based Approaches for Analysis of Genomewide Association Studies Hit paper breakdown → | 2007 | 668 |
| 11 | 2006 | 21 | |
| 12 | 2006 | 28 | |
| 13 | 2005 | 48 | |
| 14 | 2001 | 32 | |
| 15 | 2000 | 140 | |
| 16 | 2000 | 28 | |
| 17 | 1997 | 83 | |
| 18 | 1995 | 3 | |
| 19 | 1994 | 33 | |
| 20 | 1988 | 39 |
About Maja Bućan
Maja Bućan is a scholar working on Aging, Genetics, Cognitive Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 102 papers that have together received 7.3k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (14 papers), Autism Spectrum Disorder Research (14 papers), CRISPR and Genetic Engineering (13 papers), Genomics and Chromatin Dynamics (11 papers), Genetics and Neurodevelopmental Disorders (10 papers), Genetic Neurodegenerative Diseases (9 papers), Chromosomal and Genetic Variations (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). The work is most often cited by research in Genetics (2.8k citations), Endocrine and Autonomic Systems (456 citations), Molecular Biology (4.1k citations), Aging (93 citations) and Cellular and Molecular Neuroscience (804 citations). Maja Bućan has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Kai Wang, Mingyao Li, Otto Valladares, Håkon Håkonarson, Joseph Glessner, Morris J. Birnbaum, James Mu, Joseph T. Brozinick, Struan F.A. Grant and Dexter Hadley. Their work appears in journals such as Genomics, Genome Research, Mammalian Genome, Nucleic Acids Research and The EMBO Journal.
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.