Emily E. Burke
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Genetic Associations and Epidemiology
- Genetics and Neurodevelopmental Disorders
Papers in
-
- RNA Research and Splicing 3
- Single-cell and spatial transcriptomics 2
- Epigenetics and DNA Methylation 2
- Genetics 4
- Genetic Associations and Epidemiology 3
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Andrew E. Jaffe (10 shared papers)Daniel R. Weinberger (8 shared papers)Leonardo Collado‐Torres (8 shared papers)Joel E. Kleinman (6 shared papers)Thomas M. Hyde (6 shared papers)Anandita Rajpurohit (3 shared papers)Joo Heon Shin (5 shared papers)Amanda J. Price (3 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Nature Neuroscience (2 papers)Biological Psychiatry (2 papers)Clinical Epigenetics (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesJapanMexico
In The Last Decade
Emily E. Burke
19 papers receiving 514 citations
Peers
Comparison fields: 5 of 79
- Biological Psychiatry 44
- Genetics 133
- Neurology 37
- Cancer Research 62
- Molecular Biology 276
Countries citing papers authored by Emily E. Burke
This map shows the geographic impact of Emily E. Burke'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 Emily E. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily E. Burke more than expected).
Fields of papers citing papers by Emily E. Burke
This network shows the impact of papers produced by Emily E. Burke. 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 Emily E. Burke. The network helps show where Emily E. Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily E. Burke, 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 | 2019 | 130 | |
| 2 | 2019 | 63 | |
| 3 | 2020 | 63 | |
| 4 | 2019 | 50 | |
| 5 | 2021 | 44 | |
| 6 | 2022 | 40 | |
| 7 | 2016 | 28 | |
| 8 | 2019 | 23 | |
| 9 | 2017 | 20 | |
| 10 | 2021 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2021 | 1 | |
| 18 | 2018 | 1 | |
| 19 | U.S. Catholic Bishops’ Discussion of President Obama vs. President Trump, 2014–2019 | 2021 | 1 |
About Emily E. Burke
Emily E. Burke is a scholar working on Molecular Biology, Genetics, Surgery, Small Animals and Sociology and Political Science, having authored 19 papers that have together received 521 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Genetic Associations and Epidemiology (3 papers), Single-cell and spatial transcriptomics (2 papers), Epigenetics and DNA Methylation (2 papers), Veterinary Orthopedics and Neurology (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Surgical Simulation and Training (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Biological Psychiatry (44 citations), Genetics (133 citations), Neurology (37 citations), Cancer Research (62 citations) and Molecular Biology (276 citations). Emily E. Burke has collaborated with scholars based in United States, Japan and Mexico. Frequent co-authors include Andrew E. Jaffe, Daniel R. Weinberger, Leonardo Collado‐Torres, Joel E. Kleinman, Thomas M. Hyde, Anandita Rajpurohit, Joo Heon Shin, Amanda J. Price, Amy Deep‐Soboslay and Ran Tao. Their work appears in journals such as BMC Bioinformatics, Nature Neuroscience, Biological Psychiatry, Clinical Epigenetics and Genome biology.
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.