Lynett Danks

999 total citations
9 papers, 710 citations indexed

About

Lynett Danks is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Lynett Danks has authored 9 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Lynett Danks's work include Bone Metabolism and Diseases (4 papers), Bone health and treatments (3 papers) and Immune Response and Inflammation (3 papers). Lynett Danks is often cited by papers focused on Bone Metabolism and Diseases (4 papers), Bone health and treatments (3 papers) and Immune Response and Inflammation (3 papers). Lynett Danks collaborates with scholars based in United Kingdom, Japan and Greece. Lynett Danks's co-authors include Hiroshi Takayanagi, Noriko Komatsu, Nicole J. Horwood, Takeshi Nitta, Yoshihiko Tomofuji, Yasuyuki Morishita, Hiroyuki Takaba, Tatsuhiko Kodama, Shinichiro Sawa and Matteo M. Guerrini and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

Lynett Danks

9 papers receiving 704 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lynett Danks United Kingdom	9	352	278	166	130	78	9	710
Lars‐Oliver Tykocinski Germany	18	443 1.3×	269 1.0×	130 0.8×	106 0.8×	106 1.4×	22	802
Adrian Zumsteg Switzerland	11	291 0.8×	287 1.0×	271 1.6×	42 0.3×	76 1.0×	14	803
C. Manning United States	11	132 0.4×	531 1.9×	203 1.2×	297 2.3×	51 0.7×	15	832
David G. Winkler United States	13	173 0.5×	612 2.2×	218 1.3×	73 0.6×	35 0.4×	14	855
Maki Fujishiro Japan	13	114 0.3×	205 0.7×	112 0.7×	148 1.1×	23 0.3×	30	453
Amber C. Donahue United States	14	215 0.6×	286 1.0×	130 0.8×	25 0.2×	38 0.5×	22	583
Martin Hapke Germany	8	414 1.2×	151 0.5×	206 1.2×	246 1.9×	22 0.3×	11	769
Hajra Tily United States	4	489 1.4×	236 0.8×	106 0.6×	380 2.9×	17 0.2×	7	799
Yuko Nagamura Japan	12	469 1.3×	289 1.0×	216 1.3×	17 0.1×	65 0.8×	20	935
Enyu Huang China	17	245 0.7×	355 1.3×	109 0.7×	51 0.4×	15 0.2×	27	761

Countries citing papers authored by Lynett Danks

Since Specialization

Citations

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

Fields of papers citing papers by Lynett Danks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lynett Danks

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

All Works

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9 of 9 papers shown

1.

Page, Theresa H., Anna Urbaniak, Lynett Danks, et al.. (2018). Bruton's tyrosine kinase regulates TLR7/8-induced TNF transcription via nuclear factor-κB recruitment. Biochemical and Biophysical Research Communications. 499(2). 260–266. 26 indexed citations

2.

Danks, Lynett, Noriko Komatsu, Matteo M. Guerrini, et al.. (2015). RANKL expressed on synovial fibroblasts is primarily responsible for bone erosions during joint inflammation. Annals of the Rheumatic Diseases. 75(6). 1187–1195. 180 indexed citations

3.

Takaba, Hiroyuki, Yasuyuki Morishita, Yoshihiko Tomofuji, et al.. (2015). Fezf2 Orchestrates a Thymic Program of Self-Antigen Expression for Immune Tolerance. Cell. 163(4). 975–987. 271 indexed citations

4.

Guerrini, Matteo M., Kazuo Okamoto, Noriko Komatsu, et al.. (2015). Inhibition of the TNF Family Cytokine RANKL Prevents Autoimmune Inflammation in the Central Nervous System. Immunity. 43(6). 1174–1185. 63 indexed citations

5.

Findlay, Emily Gwyer, Lynett Danks, Mary Cavanagh, et al.. (2014). OX40L blockade is therapeutic in arthritis, despite promoting osteoclastogenesis. Proceedings of the National Academy of Sciences. 111(6). 2289–2294. 33 indexed citations

6.

Horwood, Nicole J., et al.. (2012). Tec Family Kinases in Inflammation and Disease. International Reviews of Immunology. 31(2). 87–103. 56 indexed citations

7.

Hu, Ming, J. H. Duncan Bassett, Lynett Danks, et al.. (2011). Activated Invariant NKT Cells Regulate Osteoclast Development and Function. The Journal of Immunology. 186(5). 2910–2917. 31 indexed citations

8.

Danks, Lynett, Sarita Workman, David Webster, & Nicole J. Horwood. (2010). Elevated cytokine production restores bone resorption by human Btk-deficient osteoclasts. Journal of Bone and Mineral Research. 26(1). 182–192. 32 indexed citations

9.

Adamopoulos, Iannis E., Lynett Danks, Ichiro Itonaga, et al.. (2006). Stimulation of osteoclast formation by inflammatory synovial fluid. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 449(1). 69–77. 18 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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