Rachel M. Warga
- Cell Biology top 0.1%
- Zebrafish Biomedical Research Applications 30
- Hippo pathway signaling and YAP/TAZ 5
- Microtubule and mitosis dynamics 4
- Molecular Biology top 1%
- Developmental Biology and Gene Regulation 30
- Congenital heart defects research 19
- Pluripotent Stem Cells Research 9
- RNA Research and Splicing 6
- Developmental Neuroscience top 1%
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 3
- Genetics top 2%
- Co-authors
- Charles B. KimmelDonald A. KaneChristiane Nüsslein‐VolhardThomas F. SchillingMary C. MullinsMichael GranatoMichael BrandJörg Odenthal
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Rachel M. Warga
42 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cell Biology 3.2k
- Molecular Biology 5.6k
- Developmental Neuroscience 326
- Aging 80
- Genetics 1.1k
Countries citing papers authored by Rachel M. Warga
This map shows the geographic impact of Rachel M. Warga'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 Rachel M. Warga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel M. Warga more than expected).
Fields of papers citing papers by Rachel M. Warga
This network shows the impact of papers produced by Rachel M. Warga. 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 Rachel M. Warga. The network helps show where Rachel M. Warga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel M. Warga, 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 | 17 | |
| 2 | 2018 | 2 | |
| 3 | 2016 | 11 | |
| 4 | 2013 | 25 | |
| 5 | 2010 | 19 | |
| 6 | 2009 | 72 | |
| 7 | 2007 | 52 | |
| 8 | 2007 | 35 | |
| 9 | 2005 | 33 | |
| 10 | 2003 | 40 | |
| 11 | 2002 | 16 | |
| 12 | 1998 | 26 | |
| 13 | 1996 | 443 | |
| 14 | 1996 | 143 | |
| 15 | 1996 | 257 | |
| 16 | 1996 | 168 | |
| 17 | 1994 | 12 | |
| 18 | 1992 | 106 | |
| 19 | 1989 | 222 | |
| 20 | 1987 | 92 |
About Rachel M. Warga
Rachel M. Warga is a scholar working on Cell Biology, Aging, Molecular Biology, Hematology and Genetics, having authored 42 papers that have together received 6.7k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (30 papers), Developmental Biology and Gene Regulation (30 papers), Congenital heart defects research (19 papers), Pluripotent Stem Cells Research (9 papers), RNA Research and Splicing (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Microtubule and mitosis dynamics (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Cell Biology (3.2k citations), Molecular Biology (5.6k citations), Developmental Neuroscience (326 citations), Aging (80 citations) and Genetics (1.1k citations). Rachel M. Warga has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Charles B. Kimmel, Donald A. Kane, Christiane Nüsslein‐Volhard, Thomas F. Schilling, Mary C. Mullins, Michael Granato, Michael Brand, Jörg Odenthal, Yun‐Jin Jiang and Carl‐Philipp Heisenberg. Their work appears in journals such as Development, Developmental Biology, Developmental Dynamics, Nature and Science.
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.