Alexa Burger
Impact in
- Aging top 10%
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
-
- Congenital heart defects research 9
- Renal and related cancers 6
- CRISPR and Genetic Engineering 6
- Pluripotent Stem Cells Research 3
-
- Zebrafish Biomedical Research Applications 5
- Co-authors
- Christian Mosimann (19 shared papers)Daniel A. Haber (5 shared papers)Michael F. Sweeney (2 shared papers)Min Yu (2 shared papers)Anurag Singh (2 shared papers)Cyril H. Benes (2 shared papers)Patricia Greninger (2 shared papers)Jeff Settleman (2 shared papers)
- Journals
- Disease Models & Mechanisms (5 papers)Nature Communications (4 papers)Developmental Cell (2 papers)Developmental Biology (2 papers)Science Advances (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Alexa Burger
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Aging 30
- Cell Biology 222
- Molecular Biology 870
- Nephrology 70
- Cancer Research 118
Countries citing papers authored by Alexa Burger
This map shows the geographic impact of Alexa Burger'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 Alexa Burger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexa Burger more than expected).
Fields of papers citing papers by Alexa Burger
This network shows the impact of papers produced by Alexa Burger. 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 Alexa Burger. The network helps show where Alexa Burger may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexa Burger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 226 | |
| 2 | 2012 | 224 | |
| 3 | 2015 | 103 | |
| 4 | 2015 | 80 | |
| 5 | 2017 | 67 | |
| 6 | The underlying cellular mechanism of fibrosis. | 1996 | 59 |
| 7 | 2009 | 58 | |
| 8 | 2017 | 56 | |
| 9 | 2018 | 39 | |
| 10 | 2018 | 34 | |
| 11 | 2018 | 34 | |
| 12 | 2013 | 34 | |
| 13 | 2011 | 34 | |
| 14 | 2019 | 31 | |
| 15 | 2017 | 26 | |
| 16 | 2006 | 19 | |
| 17 | 1998 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2019 | 11 | |
| 20 | 2024 | 9 |
About Alexa Burger
Alexa Burger is a scholar working on Molecular Biology, Cell Biology, Surgery, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Congenital heart defects research (9 papers), Renal and related cancers (6 papers), CRISPR and Genetic Engineering (6 papers), Zebrafish Biomedical Research Applications (5 papers), Pluripotent Stem Cells Research (3 papers), Animal Genetics and Reproduction (2 papers), Insect behavior and control techniques (2 papers) and Bone Tumor Diagnosis and Treatments (2 papers). The work is most often cited by research in Aging (30 citations), Cell Biology (222 citations), Molecular Biology (870 citations), Nephrology (70 citations) and Cancer Research (118 citations). Alexa Burger has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christian Mosimann, Daniel A. Haber, Michael F. Sweeney, Min Yu, Anurag Singh, Cyril H. Benes, Patricia Greninger, Jeff Settleman, Helen Lindsay and Elena Chiavacci. Their work appears in journals such as Disease Models & Mechanisms, Nature Communications, Developmental Cell, Developmental Biology and Science Advances.
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.