Kate E. Gregory

573 total citations
8 papers, 443 citations indexed

About

Kate E. Gregory is a scholar working on Rheumatology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Kate E. Gregory has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rheumatology, 4 papers in Cell Biology and 4 papers in Immunology and Allergy. Recurrent topics in Kate E. Gregory's work include Cell Adhesion Molecules Research (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Proteoglycans and glycosaminoglycans research (4 papers). Kate E. Gregory is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Proteoglycans and glycosaminoglycans research (4 papers). Kate E. Gregory collaborates with scholars based in United States, Canada and Germany. Kate E. Gregory's co-authors include Douglas R. Keene, Hans Peter Bächinger, Ted S. Acott, Mary J. Kelley, Anastasia Y. Rose, Noé L. Charbonneau, Robert N. Ono, Lynn Y. Sakai, Nicholas P. Morris and Diran Basmadjian and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Bone and Mineral Research and Experimental Cell Research.

In The Last Decade

Kate E. Gregory

8 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kate E. Gregory United States	7	187	109	107	102	78	8	443
Matt Weaver United States	8	142 0.8×	37 0.3×	55 0.5×	209 2.0×	43 0.6×	8	438
Yoshito Yamashiro Japan	16	257 1.4×	55 0.5×	171 1.6×	21 0.2×	172 2.2×	22	667
N Fukai Japan	5	191 1.0×	67 0.6×	41 0.4×	25 0.2×	77 1.0×	6	340
Barbara A. Koop United States	8	523 2.8×	18 0.2×	62 0.6×	123 1.2×	80 1.0×	8	736
D.J. Prockop United States	11	392 2.1×	17 0.2×	370 3.5×	166 1.6×	48 0.6×	19	807
Robert Pleass United Kingdom	7	87 0.5×	77 0.7×	19 0.2×	30 0.3×	32 0.4×	7	357
Amber Rath Stern United States	10	282 1.5×	47 0.4×	63 0.6×	45 0.4×	57 0.7×	14	462
Vishwanathan Hucthagowder United States	9	200 1.1×	26 0.2×	342 3.2×	61 0.6×	54 0.7×	12	521
Yoshinari Saito Japan	9	156 0.8×	12 0.1×	92 0.9×	148 1.5×	85 1.1×	10	406
David F. Chang United States	9	285 1.5×	61 0.6×	42 0.4×	9 0.1×	53 0.7×	17	466

Countries citing papers authored by Kate E. Gregory

Since Specialization

Citations

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

Fields of papers citing papers by Kate E. Gregory

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate E. Gregory. 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 Kate E. Gregory. The network helps show where Kate E. Gregory may publish in the future.

Co-authorship network of co-authors of Kate E. Gregory

This figure shows the co-authorship network connecting the top 25 collaborators of Kate E. Gregory. A scholar is included among the top collaborators of Kate E. Gregory 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 Kate E. Gregory. Kate E. Gregory 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

Gregory, Kate E., Mary J. Kelley, & Ted S. Acott. (2005). Alternative Splicing of Extracellular Matrix Genes by Trabecular Meshwork Cells Subject to Mechanical Stretch. Investigative Ophthalmology & Visual Science. 46(13). 1341–1341. 1 indexed citations

Gregory, Kate E., Robert N. Ono, Noé L. Charbonneau, et al.. (2005). The Prodomain of BMP-7 Targets the BMP-7 Complex to the Extracellular Matrix. Journal of Biological Chemistry. 280(30). 27970–27980. 157 indexed citations

Rose, Anastasia Y., et al.. (2005). Changes in Gene Expression by Trabecular Meshwork Cells in Response to Mechanical Stretching. Investigative Ophthalmology & Visual Science. 46(8). 2857–2857. 127 indexed citations

Oxford, Julia Thom, et al.. (2004). Interaction between Amino Propeptides of Type XI Procollagen α1 Chains. Journal of Biological Chemistry. 279(12). 10939–10945. 9 indexed citations

Gregory, Kate E., Douglas R. Keene, Sara F. Tufa, Gregory P. Lunstrum, & Nicholas P. Morris. (2001). Developmental Distribution of Collagen Type XII in Cartilage: Association with Articular Cartilage and the Growth Plate. Journal of Bone and Mineral Research. 16(11). 2005–2016. 45 indexed citations

Gregory, Kate E., Julia Thom Oxford, Yanwen Chen, et al.. (2000). Structural Organization of Distinct Domains within the Non-collagenous N-terminal Region of Collagen Type XI. Journal of Biological Chemistry. 275(15). 11498–11506. 50 indexed citations

Gregory, Kate E., Mark E. Marsden, Jonathan Bard, et al.. (1999). Abnormal Collagen Assembly, though Normal Phenotype, in Alginate Bead Cultures of Chick Embryo Chondrocytes. Experimental Cell Research. 246(1). 98–107. 32 indexed citations

Gregory, Kate E. & Diran Basmadjian. (1994). An analysis of the contact phase of blood coagulation: Effects of shear rate and surface are intertwined. Annals of Biomedical Engineering. 22(2). 184–193. 22 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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