Daphne Pala

572 total citations
8 papers, 507 citations indexed

About

Daphne Pala is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Daphne Pala has authored 8 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 2 papers in Rheumatology. Recurrent topics in Daphne Pala's work include Connective Tissue Growth Factor Research (6 papers), Systemic Sclerosis and Related Diseases (3 papers) and Cell Adhesion Molecules Research (2 papers). Daphne Pala is often cited by papers focused on Connective Tissue Growth Factor Research (6 papers), Systemic Sclerosis and Related Diseases (3 papers) and Cell Adhesion Molecules Research (2 papers). Daphne Pala collaborates with scholars based in Canada, United Kingdom and United States. Daphne Pala's co-authors include Andrew Leask, David E. Carter, Shiwen Xu, Laura Kennedy, Frank Beier, David Abraham, Carol M. Black, Mark Eastwood, Yunliang Chen and Shangxi Liu and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Biology of the Cell and Osteoarthritis and Cartilage.

In The Last Decade

Daphne Pala

8 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daphne Pala Canada	8	300	100	78	65	64	8	507
Joanna Czuwara-Ladykowska United States	7	251 0.8×	171 1.7×	39 0.5×	37 0.6×	61 1.0×	7	435
Alexander Y. L. Cheah Canada	7	268 0.9×	73 0.7×	20 0.3×	102 1.6×	40 0.6×	7	546
Ulf Müller‐Ladner Germany	9	209 0.7×	107 1.1×	66 0.8×	204 3.1×	17 0.3×	10	517
D W Pennington United States	7	213 0.7×	145 1.4×	36 0.5×	21 0.3×	26 0.4×	10	420
Daichi Hoshina Japan	13	107 0.4×	74 0.7×	24 0.3×	64 1.0×	51 0.8×	25	397
Atsuyuki Igarashi Japan	6	339 1.1×	161 1.6×	27 0.3×	41 0.6×	16 0.3×	7	545
Juan Duque Rodríguez Spain	4	212 0.7×	47 0.5×	99 1.3×	23 0.4×	98 1.5×	4	670
Tatjana Mallano Germany	6	206 0.7×	188 1.9×	16 0.2×	44 0.7×	32 0.5×	7	528
Katrin Schönborn Germany	5	104 0.3×	79 0.8×	30 0.4×	38 0.6×	57 0.9×	6	309
Toshikatsu Igata Japan	12	162 0.5×	74 0.7×	22 0.3×	23 0.4×	41 0.6×	24	438

Countries citing papers authored by Daphne Pala

Since Specialization

Citations

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

Fields of papers citing papers by Daphne Pala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daphne Pala

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

All Works

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8 of 8 papers shown

Chen, Yunliang, Andrew Leask, David Abraham, et al.. (2008). Heparan sulfate–dependent ERK activation contributes to the overexpression of fibrotic proteins and enhanced contraction by scleroderma fibroblasts. Arthritis & Rheumatism. 58(2). 577–585. 39 indexed citations

Xu, Shiwen, Sunil K. Parapuram, Daphne Pala, et al.. (2008). Requirement of transforming growth factor β–activated kinase 1 for transforming growth factor β–induced α‐smooth muscle actin expression and extracellular matrix contraction in fibroblasts. Arthritis & Rheumatism. 60(1). 234–241. 68 indexed citations

Pala, Daphne, Mohit Kapoor, Anita Woods, et al.. (2008). Focal Adhesion Kinase/Src Suppresses Early Chondrogenesis. Journal of Biological Chemistry. 283(14). 9239–9247. 45 indexed citations

Leask, Andrew, Shaoqiong Chen, Daphne Pala, & David R. Brigstock. (2008). Regulation of CCN2 mRNA expression and promoter activity in activated hepatic stellate cells. Journal of Cell Communication and Signaling. 2(1-2). 49–56. 30 indexed citations

Woods, Anita, Daphne Pala, Laura Kennedy, et al.. (2008). Rac1 signaling regulates CTGF/CCN2 gene expression via TGFβ/Smad signaling in chondrocytes. Osteoarthritis and Cartilage. 17(3). 406–413. 42 indexed citations

Woods, Anita, et al.. (2007). Src kinase inhibition promotes the chondrocyte phenotype. Arthritis Research & Therapy. 9(5). R105–R105. 35 indexed citations

Liu, Shangxi, Shiwen Xu, Laura Kennedy, et al.. (2007). FAK Is Required for TGFβ-induced JNK Phosphorylation in Fibroblasts: Implications for Acquisition of a Matrix-remodeling Phenotype. Molecular Biology of the Cell. 18(6). 2169–2178. 112 indexed citations

Xu, Shiwen, Laura Kennedy, Daphne Pala, et al.. (2006). CCN2 Is Necessary for Adhesive Responses to Transforming Growth Factor-β1 in Embryonic Fibroblasts. Journal of Biological Chemistry. 281(16). 10715–10726. 136 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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