Cathie Daugherty

1.4k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Cathie Daugherty is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Cathie Daugherty has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Cathie Daugherty's work include Epigenetics and DNA Methylation (3 papers), Hemoglobinopathies and Related Disorders (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). Cathie Daugherty is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Hemoglobinopathies and Related Disorders (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). Cathie Daugherty collaborates with scholars based in United States. Cathie Daugherty's co-authors include Philip Leder, Michael M. Shen, Chu‐Xia Deng, Anthony Wynshaw‐Boris, David M. Ornitz, Yaoqi Wang, Fen Zhou, Ari Elson, Cynthia C. Morton and Juanita Campos-Torres and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Blood.

In The Last Decade

Cathie Daugherty

8 papers receiving 1.2k citations

Hit Papers

Murine FGFR-1 is required... 1994 2026 2004 2015 1994 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cathie Daugherty 983 245 197 167 140 8 1.2k
Anna Maria Curatola 971 1.0× 266 1.1× 158 0.8× 167 1.0× 429 3.1× 18 1.4k
P Delli-Bovi 780 0.8× 238 1.0× 80 0.4× 194 1.2× 107 0.8× 7 1.1k
Mascha van Noort 1.6k 1.6× 317 1.3× 203 1.0× 220 1.3× 172 1.2× 10 2.0k
Fiorenzo A. Peverali 951 1.0× 216 0.9× 149 0.8× 188 1.1× 148 1.1× 27 1.3k
J Planche 688 0.7× 184 0.8× 170 0.9× 95 0.6× 170 1.2× 16 886
Tomohiro Kurisaki 694 0.7× 310 1.3× 74 0.4× 143 0.9× 137 1.0× 10 1.0k
Mark W. Ravera 836 0.9× 121 0.5× 96 0.5× 121 0.7× 279 2.0× 9 1.0k
Soonsang Yoon 1.2k 1.2× 203 0.8× 197 1.0× 152 0.9× 161 1.1× 10 1.6k
Armin Pscherer 1.0k 1.0× 201 0.8× 234 1.2× 377 2.3× 76 0.5× 22 1.5k
Jeff Stevens 723 0.7× 230 0.9× 154 0.8× 116 0.7× 262 1.9× 19 2.1k

Countries citing papers authored by Cathie Daugherty

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Cathie Daugherty

This figure shows the co-authorship network connecting the top 25 collaborators of Cathie Daugherty. A scholar is included among the top collaborators of Cathie Daugherty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cathie Daugherty. Cathie Daugherty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Leder, Aya, et al.. (1997). Mouse ζ- and α-Globin Genes: Embryonic Survival, α-Thalassemia, and Genetic Background Effects. Blood. 90(3). 1275–1282. 27 indexed citations
2.
Leder, Aya, et al.. (1997). Mouse ζ- and α-Globin Genes: Embryonic Survival, α-Thalassemia, and Genetic Background Effects. Blood. 90(3). 1275–1282. 4 indexed citations
3.
Elson, Ari, Yaoqi Wang, Cathie Daugherty, et al.. (1996). Pleiotropic defects in ataxia-telangiectasia protein-deficient mice. Proceedings of the National Academy of Sciences. 93(23). 13084–13089. 430 indexed citations
4.
Deng, Chu‐Xia, Anthony Wynshaw‐Boris, Michael M. Shen, et al.. (1994). Murine FGFR-1 is required for early postimplantation growth and axial organization.. Genes & Development. 8(24). 3045–3057. 619 indexed citations breakdown →
5.
Halazonetis, Thanos D., Cathie Daugherty, & Philip Leder. (1988). Retinoic Acid Increases the Sensitivity of the Rat Embryo Fibroblast Transformation Assay. Molecular and Cellular Biology. 8(4). 1845–1848. 5 indexed citations
6.
FitzGerald, Thomas J., Michael G. McKenna, Kenneth R. Kase, et al.. (1986). Effect of x-irradiation dose rate on the clonagenic survival of human and experimental animal hematopoietic tumor cell lines: Evidence for heterogeneity. International Journal of Radiation Oncology*Biology*Physics. 12(1). 69–73. 30 indexed citations
7.
FitzGerald, Thomas J., Michael G. McKenna, Lisa Rothstein, et al.. (1986). Radiosensitivity of Human Bone Marrow Granulocyte-Macrophage Progenitor Cells and Stromal Colony-Forming Cells: Effect of Dose Rate. Radiation Research. 107(2). 205–205. 47 indexed citations
8.
Greenberger, Joel S., E W Palaszynski, Jacalyn H. Pierce, et al.. (1985). Biologic Effects of Prolonged Melphalan Treatment of Murine Long-Term Bone Marrow Cultures and Interleukin 3-Dependent Hematopoietic Progenitor Cell Lines<xref ref-type="fn" rid="FN2">2</xref><xref ref-type="fn" rid="FN3">3</xref>. JNCI Journal of the National Cancer Institute. 74(1). 247–62. 9 indexed citations

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.

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