Brian Dawson

2.7k total citations
43 papers, 1.9k citations indexed

About

Brian Dawson is a scholar working on Molecular Biology, Genetics and Rheumatology. According to data from OpenAlex, Brian Dawson has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Genetics and 17 papers in Rheumatology. Recurrent topics in Brian Dawson's work include Connective tissue disorders research (14 papers), Bone and Dental Protein Studies (8 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). Brian Dawson is often cited by papers focused on Connective tissue disorders research (14 papers), Bone and Dental Protein Studies (8 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). Brian Dawson collaborates with scholars based in United States, Mexico and China. Brian Dawson's co-authors include Brendan Lee, Terry Bertin, Pui‐Mun Wong, Rob Duffield, Hugh Pinnington, Francis H. Gannon, Elda Munivez, Ming‐Ming Jiang, Merry Z. C. Ruan and Brendan H. L. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Brian Dawson

43 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Dawson United States 23 693 561 550 287 243 43 1.9k
Michael Stock Germany 26 1.1k 1.6× 476 0.8× 223 0.4× 303 1.1× 147 0.6× 48 2.0k
Naoshi Ogata Japan 27 1.5k 2.1× 511 0.9× 429 0.8× 243 0.8× 376 1.5× 53 2.6k
Naoki Kondo Japan 23 637 0.9× 598 1.1× 172 0.3× 100 0.3× 231 1.0× 94 2.2k
Yao Sun China 27 1.2k 1.8× 634 1.1× 237 0.4× 457 1.6× 79 0.3× 80 2.2k
Toshihiko Yajima Japan 23 535 0.8× 355 0.6× 268 0.5× 198 0.7× 165 0.7× 90 1.6k
Dionysios J. Papachristou Greece 30 1.1k 1.6× 321 0.6× 299 0.5× 406 1.4× 303 1.2× 98 2.9k
Fayez Safadi United States 17 909 1.3× 181 0.3× 212 0.4× 144 0.5× 136 0.6× 45 1.8k
Aline Martin United States 23 1.0k 1.5× 432 0.8× 864 1.6× 53 0.2× 335 1.4× 48 2.8k
Guijuan Feng China 26 874 1.3× 299 0.5× 240 0.4× 251 0.9× 72 0.3× 60 2.0k
Audrey McAlinden United States 27 861 1.2× 736 1.3× 157 0.3× 566 2.0× 98 0.4× 56 1.8k

Countries citing papers authored by Brian Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Brian Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Dawson. A scholar is included among the top collaborators of Brian Dawson 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 Brian Dawson. Brian Dawson 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.
Stroup, Bridget M., Xiaohui Li, Yuqing Chen, et al.. (2023). Delayed skeletal development and IGF-1 deficiency in a mouse model of lysinuric protein intolerance. Disease Models & Mechanisms. 16(8). 1 indexed citations
2.
Lim, Joohyun, Caressa Lietman, Matthew W. Grol, et al.. (2021). Localized chondro-ossification underlies joint dysfunction and motor deficits in the Fkbp10 mouse model of osteogenesis imperfecta. Proceedings of the National Academy of Sciences. 118(25). 7 indexed citations
3.
Jayaram, Prathap, et al.. (2020). Leukocyte-dependent effects of platelet-rich plasma on cartilage loss and thermal hyperalgesia in a mouse model of post-traumatic osteoarthritis. Osteoarthritis and Cartilage. 28(10). 1385–1393. 26 indexed citations
4.
Durán, Iván, Jennifer Zieba, Fabiana Csukasi, et al.. (2020). 4-PBA Treatment Improves Bone Phenotypes in the Aga2 Mouse Model of Osteogenesis Imperfecta. Journal of Bone and Mineral Research. 37(4). 675–686. 22 indexed citations
5.
Zieba, Jennifer, Elda Munivez, Ming-Ming Jiang, et al.. (2020). Fracture Healing in Collagen-Related Preclinical Models of Osteogenesis Imperfecta. Journal of Bone and Mineral Research. 35(6). 1132–1148. 17 indexed citations
6.
Hu, Tianyuan, Ayumi Kitano, Brian Dawson, et al.. (2019). Bmi1 Suppresses Adipogenesis in the Hematopoietic Stem Cell Niche. Stem Cell Reports. 13(3). 545–558. 35 indexed citations
7.
Grol, Matthew W., Merry Z. C. Ruan, Brian Dawson, et al.. (2018). Combinatorial Prg4 and Il-1ra Gene Therapy Protects Against Hyperalgesia and Cartilage Degeneration in Post-Traumatic Osteoarthritis. Human Gene Therapy. 30(2). 225–235. 36 indexed citations
8.
Ambrose, Catherine G., Miriam Soto Martinez, Xiaohong Bi, et al.. (2018). Mechanical properties of infant bone. Bone. 113. 151–160. 15 indexed citations
9.
Grol, Matthew W., et al.. (2018). Interleukin-1 receptor antagonist gene therapy prevents and delays surgically-induced osteoarthritis in small and large animal models. Osteoarthritis and Cartilage. 26. S56–S57. 2 indexed citations
10.
Rajagopal, Abbhirami, Erica P. Homan, Kyu Sang Joeng, et al.. (2015). Restoration of the serum level of SERPINF1 does not correct the bone phenotype in Serpinf1 null mice. Molecular Genetics and Metabolism. 117(3). 378–382. 11 indexed citations
11.
Chen, Shan, Monica Grover, Tarek A. Sibai, et al.. (2015). Losartan increases bone mass and accelerates chondrocyte hypertrophy in developing skeleton. Molecular Genetics and Metabolism. 115(1). 53–60. 26 indexed citations
12.
Grafe, Ingo, Tao Yang, Stefanie Alexander, et al.. (2014). Excessive transforming growth factor-β signaling is a common mechanism in osteogenesis imperfecta. Nature Medicine. 20(6). 670–675. 229 indexed citations
13.
Ruan, Merry Z. C., Ayelet Erez, Kilian Guse, et al.. (2013). Proteoglycan 4 expression protects against the development of osteoarthritis. Osteoarthritis and Cartilage. 21. S18–S18. 25 indexed citations
14.
Ruan, Merry Z. C., Brian Dawson, Ming‐Ming Jiang, et al.. (2012). Quantitative imaging of murine osteoarthritic cartilage by phase‐contrast micro–computed tomography. Arthritis & Rheumatism. 65(2). 388–396. 45 indexed citations
15.
Homan, Erica P., Frank Rauch, Ingo Grafe, et al.. (2011). Mutations in SERPINF1 cause osteogenesis imperfecta type VI. Journal of Bone and Mineral Research. 26(12). 2798–2803. 135 indexed citations
16.
Hermanns, Pia, Alison A. Bertuch, Terry Bertin, et al.. (2005). Consequences of mutations in the non-coding RMRP RNA in cartilage-hair hypoplasia. Human Molecular Genetics. 14(23). 3723–3740. 86 indexed citations
17.
Duffield, Rob, Brian Dawson, Hugh Pinnington, & Pui‐Mun Wong. (2004). Accuracy and reliability of a Cosmed K4b2 portable gas analysis system. Journal of science and medicine in sport. 7(1). 11–22. 251 indexed citations
18.
González, Beatriz, Mauricio Salcedo, Alejandra Mantilla, et al.. (2003). RET Oncogene Mutations in Medullary Thyroid Carcinoma in Mexican Families. Archives of Medical Research. 34(1). 41–49. 7 indexed citations
19.
20.
Dınçol, Günçağ, Melih Aktan, Meliha Nalçacı, et al.. (2001). Clonality of Acquired Primary Pure Red Cell Aplasia: Effectiveness of Antithymocyte Globulin. Leukemia & lymphoma. 42(6). 1413–1417. 7 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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