Rachael C. Casey

21 total papers · 1.1k total citations
12 papers, 857 citations indexed

About

Rachael C. Casey is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Rachael C. Casey has authored 12 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Immunology and Allergy. Recurrent topics in Rachael C. Casey's work include Cell Adhesion Molecules Research (4 papers), Protease and Inhibitor Mechanisms (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). Rachael C. Casey is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Protease and Inhibitor Mechanisms (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). Rachael C. Casey collaborates with scholars based in United States, Russia and Germany. Rachael C. Casey's co-authors include Amy P.N. Skubitz, Theodore R. Oegema, Keith M. Skubitz, Kathryn M. Burleson, Stefan E. Pambuccian, Suzanne Grindle, Laura E. Ruff, Robin Bliss, Antony S. Jeevarajan and Honglu Wu and has published in prestigious journals such as American Journal Of Pathology, Gynecologic Oncology and DNA repair.

In The Last Decade

Rachael C. Casey

12 papers receiving 843 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rachael C. Casey	408	259	195	184	158	12	857
Kathryn M. Burleson	372 0.9×	319 1.2×	234 1.2×	194 1.1×	145 0.9×	8	863
Marilyn Skelly	384 0.9×	222 0.9×	117 0.6×	73 0.4×	122 0.8×	12	796
Vinay Bhaskar	458 1.1×	213 0.8×	54 0.3×	94 0.5×	119 0.8×	14	816
M. Noguchi	672 1.6×	261 1.0×	51 0.3×	183 1.0×	125 0.8×	20	968
Kyle Howerton	535 1.3×	126 0.5×	213 1.1×	259 1.4×	102 0.6×	8	940
Mélanie Mestdagt	570 1.4×	383 1.5×	117 0.6×	132 0.7×	211 1.3×	13	1.0k
Lowell J. Underwood	418 1.0×	244 0.9×	132 0.7×	59 0.3×	154 1.0×	16	879
Tsutomu Imai	597 1.5×	331 1.3×	117 0.6×	98 0.5×	316 2.0×	15	899
I.-M. Shih	342 0.8×	182 0.7×	176 0.9×	78 0.4×	104 0.7×	15	764
Barbie Taylor‐Harding	613 1.5×	417 1.6×	71 0.4×	128 0.7×	174 1.1×	16	931

Countries citing papers authored by Rachael C. Casey

Since Specialization

Citations

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

Fields of papers citing papers by Rachael C. Casey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachael C. Casey. 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 Rachael C. Casey. The network helps show where Rachael C. Casey may publish in the future.

Co-authorship network of co-authors of Rachael C. Casey

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

All Works

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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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