Alison Farley

2.8k total citations · 1 hit paper
21 papers, 1.9k citations indexed

About

Alison Farley is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Alison Farley has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Alison Farley's work include Platelet Disorders and Treatments (5 papers), Immunotherapy and Immune Responses (5 papers) and T-cell and B-cell Immunology (4 papers). Alison Farley is often cited by papers focused on Platelet Disorders and Treatments (5 papers), Immunotherapy and Immune Responses (5 papers) and T-cell and B-cell Immunology (4 papers). Alison Farley collaborates with scholars based in Australia, United Kingdom and United States. Alison Farley's co-authors include Clare Blackburn, Douglas J. Hilton, Natalie Blair, Nicos A. Nicola, Tracy A. Willson, Jian‐Guo Zhang, Sandra E. Nicholson, Manuel Baca, Donald Metcalf and Julie Gordon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Alison Farley

20 papers receiving 1.9k citations

Hit Papers

The conserved SOCS box mo... 1999 2026 2008 2017 1999 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Alison Farley 914 786 740 198 172 21 1.9k
Anne Godard 720 0.8× 954 1.2× 608 0.8× 52 0.3× 183 1.1× 77 1.8k
Ling-Mei Wang 592 0.6× 487 0.6× 962 1.3× 69 0.3× 85 0.5× 32 1.8k
Stephan Teglund 1.8k 2.0× 1.1k 1.4× 2.0k 2.7× 222 1.1× 642 3.7× 23 3.9k
Karni Schlessinger 917 1.0× 526 0.7× 1.3k 1.7× 70 0.4× 169 1.0× 15 2.3k
Rebecca L. Aucott 324 0.4× 429 0.5× 797 1.1× 68 0.3× 120 0.7× 17 2.4k
Tadamitsu Kishimoto 673 0.7× 598 0.8× 890 1.2× 63 0.3× 206 1.2× 12 1.8k
Yuuichi Hirata 1.1k 1.2× 1.1k 1.4× 700 0.9× 77 0.4× 186 1.1× 6 2.2k
Kiyoshi Yasukawa 749 0.8× 812 1.0× 493 0.7× 60 0.3× 113 0.7× 9 1.6k
Masahiko Ohtsuki 572 0.6× 420 0.5× 906 1.2× 45 0.2× 216 1.3× 21 1.7k
Thomas Jostock 712 0.8× 582 0.7× 752 1.0× 58 0.3× 174 1.0× 32 1.7k

Countries citing papers authored by Alison Farley

Since Specialization
Citations

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

Fields of papers citing papers by Alison Farley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Farley

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Farley. A scholar is included among the top collaborators of Alison Farley 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 Alison Farley. Alison Farley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Biben, Christine, Tom Weber, Alexandra L. Garnham, et al.. (2024). Clonal analysis of fetal hematopoietic stem/progenitor cells reveals how post-transplantation capabilities are distributed. Stem Cell Reports. 19(8). 1189–1204.
2.
Biben, Christine, Tom Weber, Kathryn Potts, et al.. (2023). In vivo clonal tracking reveals evidence of haemangioblast and haematomesoblast contribution to yolk sac haematopoiesis. Nature Communications. 14(1). 41–41. 20 indexed citations
3.
Farley, Alison, Sam Palmer, Anastasia I. Kousa, et al.. (2023). Thymic epithelial cell fate and potency in early organogenesis assessed by single cell transcriptional and functional analysis. Frontiers in Immunology. 14. 1202163–1202163. 11 indexed citations
4.
Farley, Alison, et al.. (2022). Cerebral vasculature exhibits dose-dependent sensitivity to thrombocytopenia that is limited to fetal/neonatal life. Blood. 139(15). 2355–2360. 1 indexed citations
5.
Farley, Alison, et al.. (2021). Severe thrombocytopenia is sufficient for fetal and neonatal intracerebral hemorrhage to occur. Blood. 138(10). 885–897. 8 indexed citations
7.
Kousa, Anastasia I., Kathy E. O’Neill, Paul Rouse, et al.. (2020). Canonical Notch signaling controls the early thymic epithelial progenitor cell state and emergence of the medullary epithelial lineage in fetal thymus development. Development. 147(12). 32 indexed citations
8.
Potts, Kathryn, Alison Farley, Caleb A. Dawson, et al.. (2020). Membrane budding is a major mechanism of in vivo platelet biogenesis. The Journal of Experimental Medicine. 217(9). 49 indexed citations
9.
Farley, Alison, Jonathan Li, Bhavana Nayer, et al.. (2019). Antibodies to a CA 19-9 Related Antigen Complex Identify SOX9 Expressing Progenitor Cells In Human Foetal Pancreas and Pancreatic Adenocarcinoma. Scientific Reports. 9(1). 2876–2876. 3 indexed citations
10.
Ulyanchenko, Svetlana, Kathy E. O’Neill, Tanya L. Medley, et al.. (2016). Identification of a Bipotent Epithelial Progenitor Population in the Adult Thymus. Cell Reports. 14(12). 2819–2832. 78 indexed citations
11.
Farley, Alison, Lucy X. Morris, Eric Vroegindeweij, et al.. (2013). Dynamics of thymus organogenesis and colonization in early human development. Development. 140(9). 2015–2026. 100 indexed citations
12.
Bonfanti, Paola, et al.. (2010). Microenvironmental reprogramming of thymic epithelial cells to skin multipotent stem cells. Nature. 466(7309). 978–982. 104 indexed citations
13.
Liu, Zhijie, Alison Farley, Lizhen Chen, et al.. (2010). Thymus-Associated Parathyroid Hormone Has Two Cellular Origins with Distinct Endocrine and Immunological Functions. PLoS Genetics. 6(12). e1001251–e1001251. 36 indexed citations
14.
Depreter, Marianne, Natalie Blair, Terri Gaskell, et al.. (2008). Identification of Plet-1 as a specific marker of early thymic epithelial progenitor cells. Proceedings of the National Academy of Sciences. 105(3). 961–966. 72 indexed citations
15.
Nowell, Craig S., Alison Farley, & Clare Blackburn. (2007). Thymus Organogenesis and Development of the Thymic Stroma. Methods in molecular biology. 380. 125–162. 22 indexed citations
16.
Gordon, Julie, Valerie Wilson, Natalie Blair, et al.. (2004). Functional evidence for a single endodermal origin for the thymic epithelium. Nature Immunology. 5(5). 546–553. 151 indexed citations
17.
Bennett, Andrea R., Alison Farley, Natalie Blair, et al.. (2002). Identification and Characterization of Thymic Epithelial Progenitor Cells. Immunity. 16(6). 803–814. 210 indexed citations
18.
Nicholson, Sandra E., David P. De Souza, Louis Fabri, et al.. (2000). Suppressor of cytokine signaling-3 preferentially binds to the SHP-2-binding site on the shared cytokine receptor subunit gp130. Proceedings of the National Academy of Sciences. 97(12). 6493–6498. 395 indexed citations
19.
Alexander, Warren S., Steven Rakar, Lorraine Robb, et al.. (1999). Suckling defect in mice lacking the soluble haemopoietin receptor NR6. Current Biology. 9(11). 605–S1. 67 indexed citations
20.
Nicola, Nicos A., Sandra E. Nicholson, D Metcalf, et al.. (1999). Negative Regulation of Cytokine Signaling by the SOCS Proteins. Cold Spring Harbor Symposia on Quantitative Biology. 64(0). 397–404. 27 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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