Elizabeth Daro

3.1k total citations · 1 hit paper
8 papers, 2.5k citations indexed

About

Elizabeth Daro is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Elizabeth Daro has authored 8 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cell Biology. Recurrent topics in Elizabeth Daro's work include T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers) and Cellular transport and secretion (3 papers). Elizabeth Daro is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers) and Cellular transport and secretion (3 papers). Elizabeth Daro collaborates with scholars based in Canada, United States and Australia. Elizabeth Daro's co-authors include Ira Mellman, David Sheff, Michael Hull, Kenneth Brasel, Thierry Galli, Peter van der Sluijs, Moira Glaccum, Allison Armstrong, K Charrier and Dirk Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Elizabeth Daro

8 papers receiving 2.5k citations

Hit Papers

RANK is essential for osteoclast and lymph node development 1999 2026 2008 2017 1999 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RANK is essential for osteoclast and lymph node development
    1999 1.2k citations William C. Dougall, Moira Glaccum et al. Genes & Development profile →

Peers

Elizabeth Daro
M. Mehrdad Tondravi United States
Gerard Brady United Kingdom
Jeffrey Su United States
Beth L. Viviano United States
Paul D. Kassner United States
Florence Smadja‐Joffe France
Laurent Galibert United States
Seiji Sakano Japan
María Jiménez Spain
Frosty Loechel Denmark
M. Mehrdad Tondravi United States
Elizabeth Daro
Citations per year, relative to Elizabeth Daro Elizabeth Daro (= 1×) peers M. Mehrdad Tondravi

Countries citing papers authored by Elizabeth Daro

Since Specialization
Citations

This map shows the geographic impact of Elizabeth Daro'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 Elizabeth Daro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Daro more than expected).

Fields of papers citing papers by Elizabeth Daro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth Daro. 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 Elizabeth Daro. The network helps show where Elizabeth Daro may publish in the future.

Co-authorship network of co-authors of Elizabeth Daro

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Daro. A scholar is included among the top collaborators of Elizabeth Daro 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 Elizabeth Daro. Elizabeth Daro 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.
Daro, Elizabeth, Eric Butz, Jeffrey L. Smith, et al.. (2002). COMPARISON OF THE FUNCTIONAL PROPERTIES OF MURINE DENDRITIC CELLS GENERATED IN VIVO WITH FLT3 LIGAND, GM-CSF AND FLT3 LIGAND PLUS GM-CSF. Cytokine. 17(3). 119–130. 44 indexed citations
2.
Maraskovsky, Eugene, Elizabeth Daro, Eileen R. Roux, et al.. (2000). In vivo generation of human dendritic cell subsets by Flt3 ligand. Blood. 96(3). 878–884. 39 indexed citations
3.
Daro, Elizabeth, Bali Pulendran, Kenneth Brasel, et al.. (2000). Polyethylene Glycol-Modified GM-CSF Expands CD11bhighCD11chigh But Not CD11blowCD11chigh Murine Dendritic Cells In Vivo: A Comparative Analysis with Flt3 Ligand. The Journal of Immunology. 165(1). 49–58. 183 indexed citations
4.
Maraskovsky, Eugene, Elizabeth Daro, Eileen R. Roux, et al.. (2000). In vivo generation of human dendritic cell subsets by Flt3 ligand. Blood. 96(3). 878–884. 322 indexed citations
5.
Dougall, William C., Moira Glaccum, K Charrier, et al.. (1999). RANK is essential for osteoclast and lymph node development. Genes & Development. 13(18). 2412–2424. 1154 indexed citations breakdown →
6.
Sheff, David, Elizabeth Daro, Michael Hull, & Ira Mellman. (1999). The Receptor Recycling Pathway Contains Two Distinct Populations of Early Endosomes with Different Sorting Functions. The Journal of Cell Biology. 145(1). 123–139. 381 indexed citations
7.
Daro, Elizabeth, David Sheff, Marie Gomez, Thomas E. Kreis, & Ira Mellman. (1997). Inhibition of Endosome Function in CHO Cells Bearing a Temperature-sensitive Defect in the Coatomer (COPI) Component ε-COP. The Journal of Cell Biology. 139(7). 1747–1759. 114 indexed citations
8.
Daro, Elizabeth, Peter van der Sluijs, Thierry Galli, & Ira Mellman. (1996). Rab4 and cellubrevin define different early endosome populations on the pathway of transferrin receptor recycling.. Proceedings of the National Academy of Sciences. 93(18). 9559–9564. 285 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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