Cathie Daugherty
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Fibroblast Growth Factor Research
- Epigenetics and DNA Methylation
- Developmental Biology and Gene Regulation
- Congenital heart defects research
- Pluripotent Stem Cells Research
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
-
- Epigenetics and DNA Methylation 3
- DNA Repair Mechanisms 1
- Genetics 2
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- Philip Leder (5 shared papers)Anthony Wynshaw‐Boris (1 shared paper)Chu‐Xia Deng (1 shared paper)Michael M. Shen (1 shared paper)David M. Ornitz (1 shared paper)Yaoqi Wang (1 shared paper)Cynthia C. Morton (1 shared paper)Juanita Campos-Torres (1 shared paper)
- Journals
- Blood (2 papers)Proceedings of the National Academy of Sciences (1 paper)Radiation Research (1 paper)Genes & Development (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Cathie Daugherty
8 papers receiving 1.2k citations
Cathie Daugherty's Hit Papers
Peers
Comparison fields: 5 of 72
- Molecular Biology 961
- Cancer Research 161
- Oncology 235
- Developmental Neuroscience 35
- Cell Biology 134
Countries citing papers authored by Cathie Daugherty
This map shows the geographic impact of Cathie Daugherty'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 Cathie Daugherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathie Daugherty more than expected).
Fields of papers citing papers by Cathie Daugherty
This network shows the impact of papers produced by Cathie Daugherty. 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 Cathie Daugherty. The network helps show where Cathie Daugherty may publish in the future.
Co-authors
The 22 scholars most cited alongside Cathie Daugherty, 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 | Murine FGFR-1 is required for early postimplantation growth and axial organization. Hit paper breakdown → | 1994 | 619 |
| 2 | 1996 | 430 | |
| 3 | 1986 | 47 | |
| 4 | 1986 | 31 | |
| 5 | 1997 | 27 | |
| 6 | 1985 | 9 | |
| 7 | 1997 | 5 | |
| 8 | 1988 | 5 |
About Cathie Daugherty
Cathie Daugherty is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Effects of Radiation Exposure (2 papers), Prenatal Screening and Diagnostics (2 papers), Acute Myeloid Leukemia Research (1 paper), DNA Repair Mechanisms (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Molecular Biology (961 citations), Cancer Research (161 citations), Oncology (235 citations), Developmental Neuroscience (35 citations) and Cell Biology (134 citations). Cathie Daugherty has collaborated with scholars based in United States. Frequent co-authors include Philip Leder, Anthony Wynshaw‐Boris, Chu‐Xia Deng, Michael M. Shen, David M. Ornitz, Yaoqi Wang, Cynthia C. Morton, Juanita Campos-Torres, Fen Zhou and Ari Elson. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Radiation Research, Genes & Development and Molecular and Cellular 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.