Charles N. Pagel

2.5k total citations
63 papers, 2.1k citations indexed

About

Charles N. Pagel is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Charles N. Pagel has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Hematology and 13 papers in Genetics. Recurrent topics in Charles N. Pagel's work include Blood Coagulation and Thrombosis Mechanisms (21 papers), Muscle Physiology and Disorders (14 papers) and Protease and Inhibitor Mechanisms (9 papers). Charles N. Pagel is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (21 papers), Muscle Physiology and Disorders (14 papers) and Protease and Inhibitor Mechanisms (9 papers). Charles N. Pagel collaborates with scholars based in Australia, United Kingdom and United States. Charles N. Pagel's co-authors include Eleanor J. Mackie, Terence A. Partridge, Jonathan R. Beauchamp, Jennifer E. Morgan, Robert N. Pike, T. Partridge, Shujun Song, Kitipong Uaesoontrachoon, J.E. Morgan and Liliana Tatarczuch and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Gastroenterology.

In The Last Decade

Charles N. Pagel

61 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles N. Pagel Australia 25 1.3k 525 487 331 246 63 2.1k
Behrouz Nikbin Iran 23 562 0.4× 613 1.2× 935 1.9× 166 0.5× 159 0.6× 75 2.3k
Caroline M. Milner United Kingdom 29 1.3k 1.0× 262 0.5× 274 0.6× 120 0.4× 195 0.8× 51 2.8k
Taneaki Nakagawa Japan 25 788 0.6× 386 0.7× 910 1.9× 301 0.9× 79 0.3× 155 3.1k
Esther Guetta Israel 19 889 0.7× 951 1.8× 866 1.8× 200 0.6× 263 1.1× 30 2.5k
Kikuya Sugiura Japan 34 777 0.6× 432 0.8× 531 1.1× 755 2.3× 494 2.0× 142 3.8k
Guangwu Xu United States 16 916 0.7× 629 1.2× 1.6k 3.2× 246 0.7× 199 0.8× 20 3.1k
Susan A. Tarlé United States 26 1.4k 1.1× 215 0.4× 422 0.9× 473 1.4× 215 0.9× 30 2.2k
Antoneta Radu United States 24 905 0.7× 877 1.7× 1.0k 2.1× 145 0.4× 491 2.0× 43 2.7k
Angela Rösen‐Wolff Germany 29 849 0.7× 413 0.8× 122 0.3× 222 0.7× 168 0.7× 105 2.3k
Myriam Armant United States 28 720 0.6× 258 0.5× 349 0.7× 189 0.6× 215 0.9× 55 2.2k

Countries citing papers authored by Charles N. Pagel

Since Specialization
Citations

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

Fields of papers citing papers by Charles N. Pagel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles N. Pagel. 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 Charles N. Pagel. The network helps show where Charles N. Pagel may publish in the future.

Co-authorship network of co-authors of Charles N. Pagel

This figure shows the co-authorship network connecting the top 25 collaborators of Charles N. Pagel. A scholar is included among the top collaborators of Charles N. Pagel 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 Charles N. Pagel. Charles N. Pagel 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.
Malekipour, Fatemeh, et al.. (2024). Assessment of subchondral bone microdamage quantification using contrast‐enhanced imaging techniques. Journal of Anatomy. 245(1). 58–69. 3 indexed citations
2.
Pagel, Charles N., et al.. (2024). Differences in bone turnover markers and injury risks between local and international horses: A Victorian Spring Racing Carnival study. Equine Veterinary Journal. 57(2). 333–346. 1 indexed citations
3.
Pagel, Charles N., Bill Lozanovski, Thierry Beths, et al.. (2023). Reducing the prosthesis modulus by inclusion of an open space lattice improves osteogenic response in a sheep model of extraarticular defect. Frontiers in Bioengineering and Biotechnology. 11. 1301454–1301454. 1 indexed citations
4.
Pagel, Charles N., et al.. (2022). Protease‐activated receptor‐2 dependent and independent responses of bone cells to prostate cancer cell secretory products. The Prostate. 82(6). 723–739. 1 indexed citations
5.
6.
Pagel, Charles N., et al.. (2020). Small airway remodeling in a sheep model of bleomycin-induced pulmonary fibrosis. Experimental Lung Research. 46(10). 409–419. 7 indexed citations
7.
Mirams, Michiko, et al.. (2017). The vacuolar H+ ATPase V0 subunit d2 is associated with chondrocyte hypertrophy and supports chondrocyte differentiation. Bone Reports. 7. 98–107. 5 indexed citations
8.
Francis, Nidhish, et al.. (2017). A T cell-specific knockout reveals an important role for protease-activated receptor 2 in lymphocyte development. The International Journal of Biochemistry & Cell Biology. 92. 95–103. 4 indexed citations
9.
Petty, Sandra, Carol J. Milligan, Marian Todaro, et al.. (2016). The antiepileptic medications carbamazepine and phenytoin inhibit native sodium currents in murine osteoblasts. Epilepsia. 57(9). 1398–1405. 20 indexed citations
10.
Sivagurunathan, Sutharshani, et al.. (2013). Thrombin inhibits osteoclast differentiation through a non-proteolytic mechanism. Journal of Molecular Endocrinology. 50(3). 347–359. 18 indexed citations
11.
Adams, Mark N., Charles N. Pagel, Eleanor J. Mackie, & John D. Hooper. (2012). Evaluation of antibodies directed against human protease-activated receptor-2. Naunyn-Schmiedeberg s Archives of Pharmacology. 385(9). 861–873. 20 indexed citations
12.
Hiel, Matthias B. Van, Bert Breugelmans, Charles N. Pagel, et al.. (2012). The Ovicidal, Larvacidal and Adulticidal Properties of 5,5′-Dimethyl-2,2′-Bipyridyl against Drosophila melanogaster. PLoS ONE. 7(11). e49961–e49961. 3 indexed citations
13.
Wee, Janet L., Yok Teng Chionh, Garrett Z. Ng, et al.. (2009). Protease-Activated Receptor-1 Down-regulates the Murine Inflammatory and Humoral Response to Helicobacter pylori. Gastroenterology. 138(2). 573–582. 28 indexed citations
14.
15.
Fitzpatrick, Richard, Sutharshani Sivagurunathan, Charles N. Pagel, et al.. (2008). The gingipains from Porphyromonas gingivalis do not directly induce osteoclast differentiation in primary mouse bone marrow cultures. Journal of Periodontal Research. 44(4). 565–567. 7 indexed citations
16.
Ahmed, Yasser A., Liliana Tatarczuch, Charles N. Pagel, et al.. (2006). Physiological death of hypertrophic chondrocytes. Osteoarthritis and Cartilage. 15(5). 575–586. 60 indexed citations
17.
Hewitson, Tim D., Marina Martic, Kristen J. Kelynack, et al.. (2005). Thrombin Is a Pro-Fibrotic Factor for Rat Renal Fibroblasts in vitro. Nephron Experimental Nephrology. 101(2). e42–e49. 11 indexed citations
18.
Song, Shujun, et al.. (2005). The Role of Protease-Activated Receptor-1 in Bone Healing. American Journal Of Pathology. 166(3). 857–868. 43 indexed citations
19.
Pagel, Charles N., et al.. (2004). Studies on the receptors mediating responses of osteoblasts to thrombin. The International Journal of Biochemistry & Cell Biology. 37(1). 206–213. 28 indexed citations
20.
Pagel, Charles N., Linda Abraham, Carla Chinni, et al.. (2003). Inhibition of osteoblast apoptosis by thrombin. Bone. 33(4). 733–743. 64 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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