L Danks
Impact in
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
- Bone and Joint Diseases
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- Bone health and treatments
- Cytokine Signaling Pathways and Interactions
Papers in
-
- Bone Metabolism and Diseases 6
- TGF-β signaling in diseases 2
- Oncology 5
- Bone health and treatments 5
- Co-authors
- Hiroshi Takayanagi (1 shared paper)A Sabokbar (3 shared papers)N A Athanasou (3 shared papers)David Ferguson (1 shared paper)Y. Fujikawa (1 shared paper)O Kudo (1 shared paper)Ichiro Itonaga (2 shared papers)Nick Athanasou (1 shared paper)
- Journals
- Bone (2 papers)Journal of Bone and Mineral Research (2 papers)The Journal of Biochemistry (1 paper)Breast Cancer Research and Treatment (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United KingdomChinaJapan
In The Last Decade
L Danks
7 papers receiving 372 citations
Peers
Comparison fields: 5 of 69
- Orthopedics and Sports Medicine 60
- Oncology 176
- Rheumatology 85
- Molecular Biology 213
- Cancer Research 43
Countries citing papers authored by L Danks
This map shows the geographic impact of L 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 L Danks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Danks more than expected).
Fields of papers citing papers by L Danks
This network shows the impact of papers produced by L 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 L Danks. The network helps show where L Danks may publish in the future.
Co-authors
The 19 scholars most cited alongside L Danks, 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 | 2003 | 104 | |
| 2 | 2013 | 91 | |
| 3 | 2006 | 88 | |
| 4 | 2002 | 86 | |
| 5 | Cellular mechanisms of osteoclast formation and bone resorption in rheumatoid arthritis | 2001 | 8 |
| 6 | Rankl-independent induction of human osteoclast formation and bone resorption by TGF-beta | 2002 | 1 |
| 7 | 2011 | 1 |
About L Danks
L Danks is a scholar working on Molecular Biology, Oncology, Rheumatology, Pharmacology and Genetics, having authored 7 papers that have together received 379 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (6 papers), Bone health and treatments (5 papers), TGF-β signaling in diseases (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), NF-κB Signaling Pathways (1 paper), Bone health and osteoporosis research (1 paper), Estrogen and related hormone effects (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (60 citations), Oncology (176 citations), Rheumatology (85 citations), Molecular Biology (213 citations) and Cancer Research (43 citations). L Danks has collaborated with scholars based in United Kingdom, China and Japan. Frequent co-authors include Hiroshi Takayanagi, A Sabokbar, N A Athanasou, David Ferguson, Y. Fujikawa, O Kudo, Ichiro Itonaga, Nick Athanasou, Shuai Sun and Sanyuan Sun. Their work appears in journals such as Bone, Journal of Bone and Mineral Research, The Journal of Biochemistry, Breast Cancer Research and Treatment and Annals of the Rheumatic Diseases.
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.